Artificial Intelligence

How NASA is Introducing AI Technologies Usage on Earth and in Space Exploration

zqureshi — Thu, 17 Apr 2025 16:15:21 +0000

How NASA is Introducing AI Technologies Usage on Earth and in Space Exploration zqureshi April 17, 2025

Artificial intelligence (AI) isn’t just changing the way we do things on Earth, it’s also transforming how we approach the universe. NASA has been exploring the power of AI for years and recent developments are pushing the boundaries of what’s possible in space exploration and scientific discovery even further. From autonomous rovers on Mars to AI-enhanced efforts to find new exoplanets, our understanding of space is increasingly powered by machine learning and automation.

AI in Space Exploration: Mars and Beyond

One of the most notable examples of NASA’s AI capabilities is the Perseverance rover on Mars. Unlike earlier rovers that relied more on manual human input, Perseverance relies heavily on AI to navigate the Martian surface independently and in real-time. It’s equipped with an instrument called PIXL (Planetary Instrument for X-ray Lithochemistry) that uses AI to search for signs of ancient life by targeting and analyzing rock samples based on curated data from previous missions.

NASA’s Curiosity rover also uses AI to operate its laser, selecting targets for chemical analysis autonomously. This is crucial for missions where human intervention is less feasible or more time-consuming.

Beyond exploring our closest planetary neighbor, AI is also helping scientists find planets light-years away. NASA’s ExoMiner deep learning system recently identified 301 new exoplanets by analyzing data from the Kepler Space Telescope. ExoMiner works by recognizing patterns in vast amounts of data, sifting through noise to spot planets that would otherwise be overlooked, and making decisions that are more accurate than human and machine combined.

NASA’s telescopes collect massive amounts of data about deep space every day, and AI can help process this data faster and allow for more accurate analysis. For example, machine learning models can analyze light curves to predict cosmic events like supernovae and gamma ray bursts. AI has also been used to identify gravitational waves caused by massive cosmic events, quickly analyzing data from observatories like LIGO and Virgo.

Using AI for Smarter Spacecraft, Satellites, and More

AI is making spacecraft and satellites more autonomous and efficient. NASA’s ASPEN (Automated Scheduling and Planning Environment) system helps plan and adjust mission operations. AI algorithms monitor spacecraft health, predict system failures, and even automate repairs when possible.

The U.S. Space Force has also embraced AI for satellite operations that automate data collection, detect anomalies, and improve satellite positioning. AI-driven models are also tracking orbital debris to help protect satellites and spacecraft from impending collisions. Similarly, the European Space Agency is using AI to control satellite constellations and filter data before transmission, reducing the burden on ground station personnel and increasing mission efficiency.

Beyond space missions, NASA’s AI research is also improving life on Earth. Through a partnership with IBM, NASA uses AI to analyze climate patterns and predict extreme weather events to better prepare us before a disaster strikes. AI is also being used in cybersecurity operations to protect against threats and mitigate damage from successful attacks.

A Vision for 2040 and Beyond

NASA is setting its sights on the future with the NASA 2040 AI Track, an initiative focused on advancing AI in space exploration. Launched in 2024, this effort aims to enhance AI’s role in autonomous decision-making, spacecraft navigation, and scientific discovery.

To support these goals, NASA established the AI Strategy Team, which focuses on integrating AI more deeply into missions. The team is working to develop AI systems that can handle complex, real-time scenarios such as adjusting a rover’s path on a distant planet or responding to unexpected hazards. By developing these capabilities, NASA is positioning AI as a key partner in future space missions, ensuring more efficient and autonomous operations in deep space exploration.

“It is important to see AI not as a threat that will replace the work of humans but as a tool to make our work easier and more efficient.” —David Salvagnini, Chief Data Officer and Chief Artificial Intelligence Officer, NASA

Exploring New Frontiers in Space and AI at Capitol Tech

Capitol Technology University offers undergraduate and graduate programs in Astronautical Engineering that prepare you for an impactful and long-lasting career in the field. Our student centers and labs, as well as our on-campus ALPHA Observatory, provide hands-on experience with satellite ground stations and balloon payloads, imparting the technical skills students need to succeed.

Our degree programs in AI, including the first-of-its-kind Bachelor of Science in AI in Maryland, prepare you to explore the many facets, skills, and ethics involved in this new technology, as well as the many ways AI is being used across a spectrum of industries. Our AI Center of Excellence also fosters a wider and more dynamic ecosystem for research, education, and industry collaboration.

Want to learn more? We invite you to attend our GreyCon Conference on July 15 as an opportunity to explore this new frontier in technology emerging at the intersection of space, AI, and cybersecurity.

To discover our academic programs, contact our Admissions team or request more information.

Edited by Erica Decker

Categories: Artificial Intelligence, Astronautical Engineering, Computer Science, Artificial Intelligence and Data Science

How AI and Quantum Computing are Transforming Drug Discovery and the Healthcare Industry

zqureshi — Fri, 28 Feb 2025 18:12:15 +0000

How AI and Quantum Computing are Transforming Drug Discovery and the Healthcare Industry zqureshi February 28, 2025

Developing new drugs can be a slow and expensive process, often taking many years of research and costing billions of dollars. Traditional trial and error methods that test countless compounds to see which interactions may result in positive outcomes can be inefficient and often unsuccessful, like searching for a needle in an unfathomably large haystack. Now, new research from the University of Toronto and Insilico Medicine shows how emerging AI and quantum computing technologies may soon revolutionize this process.

Smarter, Faster Drug Discovery with AI

With the evolution of this new technology, AI can act as a smart assistant for scientists. AI algorithms can analyze massive amounts of data, including information about diseases, molecules, and clinical trials. This helps scientists identify potential drug targets and predict how effective and safe a drug might be. Researchers can also use generative AI to design new molecules with specific properties that could help scientists understand how certain molecules function and how drugs might interact with them. AI can also help in developing medication to target a specific cell or protein, sifting through incredible amounts of information in a fraction of the time it would take a human.

Factor in quantum computing, and this takes things a step further. Quantum computers use the unique power of qubits, allowing them to perform calculations far beyond the capabilities of other computers. The additional processing power can more accurately simulate how molecules interact with each other. This is crucial because the way a drug interacts with molecules in the body can predict whether it will work and if it will have side effects. Quantum computers can explore a much wider range of potential drug candidates, significantly speeding up the search for effective treatments and reducing research and development time from decades to just weeks

AI and Quantum Computing Working Together to Transform Healthcare

The real magic happens when AI and quantum computing work together. AI can guide quantum simulations, telling the quantum computer which molecules to focus on. Then, AI can analyze the results of the quantum simulations to identify which drugs are most likely to work. AI provides the brains and quantum computing provides the power.

The University of Toronto and Insilico Medicine’s work combining traditional computing methods with quantum computing and generative AI is revolutionizing the design of new molecules. They have discovered its potential to target a previously “undruggable” cancer-driving protein. With more than 7,000 diseases having no treatments, this breakthrough could lead to more effective drugs with fewer side effects and lower costs.

“With computational approaches like this, we have the potential to shorten the preclinical phase of drug discovery by years.” —Igor Stagljar, Professor of Biochemistry and Molecular Genetics, University of Toronto

The combination of AI and quantum computing has the potential to transform the healthcare industry in exciting ways, including:

Getting new treatments to patients faster;
Making drugs with fewer side effects;
Finding effective treatments for previously untreatable diseases;
Lowering drug costs; and
Providing more personalized medicine tailored to a patient’s specific genetic makeup.

AI and Quantum Computing at Capitol Tech

The combination of AI and quantum computing presents exciting potential for drug discovery and patient outcomes. At Capitol Technology University, our AI and quantum computing degree programs focus on the research and collaboration needed to develop and ethically manage these systems to bring innovation to all industries, including healthcare. Explore these exciting fields today!

To learn more, contact our Admissions team or request more information.

Edited by Erica Decker

Categories: Artificial Intelligence

Video Game Technology, Artificial Intelligence, and the Esports Industry

emdecker — Wed, 11 Dec 2024 13:39:51 +0000

Video Game Technology, Artificial Intelligence, and the Esports Industry emdecker December 11, 2024

The Esports industry has transformed from a niche community of passionate gamers into a multi-billion-dollar juggernaut, largely fueled by technological advancements that are creating richer gameplay experiences that continue to attract players and sponsors alike. As global interest in competitive gaming continues to rise, technological innovations in artificial intelligence (AI) are pushing the boundaries of what is possible in the Esports realm. These technologies are not only enhancing the video game experience for fans but also opening new opportunities for gamers, developers, and marketers.

The Role of Technology in Esports Access

Since its introduction in the 1970s, Esports growth has been driven by the evolution of technology and the public’s interest in virtual reality. Originally limited to single-player, at-home consoles like ATARI and LAN parties or community experiences at arcades and gaming cafes, high-speed internet and powerful gaming hardware have made online multiplayer gaming accessible to millions of people worldwide. Streaming platforms like Twitch and YouTube Gaming have also provided players and fans with the infrastructure to connect, share, and watch Esports events live from anywhere in the world.

One notable example of a tech venture driving change in Esports is Weavr. By leveraging AI, 8K, VR, and AR, Weavr is redefining how fans engage with Esports content by providing highly immersive, “hyper-personalized experiences”. As a “technology platform that uses live and historic data to create meaningful and personalized mixed-reality experiences for esports fans,” Weavr offers "VR video telepresence and augmented reality overlays, enabling viewers to teleport in between the live arena, virtual game worlds and augmented living rooms” through “high fidelity statistics, visualizations and data-driven stories that give them deep insights into the live match.” This type of cutting-edge technology furthers the appeal of the Esports industry.

Artificial Intelligence and Esports Evolution

AI has become a cornerstone technology in the Esports industry. AI's ability to analyze vast amounts of data in real-time is invaluable for both players and developers. Gaming studios can use AI to create more intelligent non-playable characters (NPCs), enhance game mechanics, and provide players with personalized experiences.

AI-driven analytics tools also help teams and individual players improve their strategies by analyzing gameplay data, identifying strengths and weaknesses, and offering actionable insights. For instance, platforms like SenpAI.GG use AI to provide coaching and performance analysis for popular games like League of Legends and Valorant. This helps players at all levels refine their skills and compete more effectively. Additionally, AI is instrumental in combating cheating and maintaining fair play by continuously monitoring gameplay and detecting anomalies to identify and flag suspicious activities, ensuring a level and more enjoyable playing field for all competitors.

Enhancing Engagement and Marketing

Technological advancements are not limited to gameplay and development; they also extend to how Esports are marketed and consumed. Fans increasingly demand more personalized and engaging experiences, and AI-driven marketing is meeting this need. By analyzing user data, AI can create targeted marketing campaigns that resonate with specific audience segments. For example, personalized ads based on a viewer's favorite games, teams, or players can significantly enhance engagement and retention. AI can also tailor in-game advertisements and sponsorships to align with a player's preferences, creating a seamless and non-intrusive experience.

Additionally, VR and augmented reality (AR) are enhancing the way fans watch Esports. VR headsets allow fans to immerse themselves in the game environment from a first-person perspective. AR, on the other hand, adds interactive elements to live streams, such as real-time stats, player bios, and other relevant information to bolster the overall in-game experience.

The Financial Impact of Technological Integration

The future of Esports is exponentially rising, with technology continuing to drive innovation and economic growth. According to Statista, global video game revenue is expected to increase by $136.8 billion between 2023 and 2027. This growth is fueled by the expanding reach of Esports and the continuous innovation in gaming technology.

Investments in Esports infrastructure, such as advanced gaming arenas and high-quality streaming services, are attracting more viewers and sponsors, further boosting the industry's revenue. Brands are increasingly recognizing the value of partnering with Esports organizations to reach a highly engaged and tech-savvy audience.

Esports is not just a hobby; it is a rapidly growing industry with incredible potential to continue this trajectory. By embracing technological advancements, the Esports community is setting the stage for a future where gaming is more than just entertainment—it is a cultural phenomenon that connects people worldwide through immersive and interactive experiences.

Esports Management at Capitol Tech

Capitol Technology University Esports program includes several offerings for both the casual and competitive gaming enthusiast. Our bachelor’s degree in Esports Management prepares students to create, implement, and manage innovation for the rapidly growing Esports industry. Our Esports competitive gaming team features players who specialize in games from Call of Duty to Smash Bros, and our Chargers Esports arena offers the perfect environment for team sportsmanship. Come explore the immersive world of gaming with Capitol Tech Esports.

To learn more, contact our Admissions team or request more information.

Categories: Artificial Intelligence

Voting Technology: How New Tech is Being Used in the Election Process

emdecker — Tue, 05 Nov 2024 17:58:30 +0000

Voting Technology: How New Tech is Being Used in the Election Process emdecker November 5, 2024

The voting process has undergone significant transformations over the years, evolving from simple paper ballots to sophisticated electronic methods. This evolution has been driven by the need to improve accuracy, efficiency, and security in the balloting system. As technology like artificial intelligence continues to advance and play an increasingly important role across industries, new methods are being developed to improve the election process.

History and Evolution of Voting Technology

The journey of voting technology in the U.S. began in the 1800s with the casting of votes vocally at a courthouse and later by hand-counted paper ballots, which were the primary methods of voting during that time. The paper ballots were marked by hand, typically with an “x” next to the desired candidate, and counted manually. Due to the nature of this process, it proved time-consuming and susceptible to human error or fraud.

The introduction of mechanical lever machines in the 1890s marked the first significant technological advancement in voting. These machines allowed voters to cast their ballots by pulling a lever, which mechanically recorded the vote via a ticker system and were “counted by opening the machine and reading the numbers on the counters associated with all the candidates.” Although this method ensured more privacy and better accuracy, “by law, mechanical lever machines may no longer be used in federal elections, although they're sometimes still used in state and local elections.”

In the 1960s, punch-card voting machines were introduced. These machines used cards with perforated holes that voters would punch to indicate their choice of candidate. A “chad” is the punched-out paper portion expected to fall off the ballot after a selection is made. However, the infamous "hanging chads" controversy, where many ballots featured a confusing half-punched hole during the 2000 U.S. presidential election, highlighted the flaws in this system, causing a major recount of the ballots for many states. This led to a push for more reliable, easy-to-use voting technologies as punch-cards are now illegal to use in U.S. federal elections.

Electronic voting machines were first available in the 1970s, including direct-recording electronic (DRE) systems and Scantron-style ballots. DRE systems allow voters to make their selections much like a lever system but via a touchscreen computer system instead, while optical scanners can read marked paper ballots. Despite their advantages, these methods face scrutiny over security concerns and their potential for hacking.

Modern Voting Technologies

Today, a variety of voting technologies are used across the United States. Ballot marking devices (BMDs) are one of the most widely used systems, allowing voters to mark their choices electronically before printing a paper ballot for scanning and counting. Optical scanners remain popular as well due to their ability to quickly and accurately count marked paper ballots. Hybrid voting systems combine elements of both DRE and optical scanning technologies as a type of failsafe method.

Open-source voting machines are gaining traction to increase transparency and trust in the electoral process. Unlike the commonly used proprietary systems, open-source companies like VoterWorks publish their source code, allowing for public scrutiny and verification. This approach aims to address concerns about the secrecy and potential vulnerabilities of traditional voting machines, as well as the data collected and stored by proprietary companies.

All modern voting systems incorporate multiple layers of security to safeguard against tampering and fraud. These measures include secure software, encryption, and rigorous testing and certification processes. Additionally, many states have implemented post-election audits to verify the accuracy of election results. These factors help ensure fair and accurate elections, and the need for continued vigilance and transparency remains of the utmost importance.

The Role of AI in Elections

Artificial intelligence is poised to revolutionize the voting process by enhancing security, efficiency, and voter engagement. AI can be used to analyze vast amounts of data to detect patterns and anomalies that may indicate fraudulent activity, allowing election officials to investigate potential issues like voter fraud or mechanical failures more quickly and effectively.

AI-powered chatbots and virtual assistants can also improve voter engagement by providing real-time information about polling locations, candidate platforms, and voting procedures. These tools can help voters navigate the electoral process more easily to make informed decisions.

However, the rise of AI also brings new challenges. Government officials warn that AI sources of information may be unreliable based on how AI currently accesses and generates data, thus precautions and fact-checking should be exercised.

Deepfake technology, which uses AI to create realistic but fake audio and video content, poses a significant threat to election integrity as well. Deepfakes can be used to spread misinformation and manipulate public opinion, potentially undermining trust in the electoral process. To combat this, many states have enacted legislation to regulate the use of deepfakes in political communications.

Blockchain or decentralized technology can be used with AI and has the potential to create a secure and transparent voting system by providing an immutable record of votes. Some sources state that “blockchain works to be inherently secure and ensure original information is unchangeable, providing a single-source-of-truth and acting as a tracking method for any data recorded. When applied to voting, this could mean the opportunity for unaltered votes, voting transparency, increased online accessibility and more organized voting operations.” As technology continues to evolve, the future of voting will likely see even greater integration of AI and other advanced technologies in an effort to safeguard and improve the integrity of the election process.

Management of Technology at Capitol Tech

Capitol Technology University offers programs in the Management of Technology specialization that prepare students to tackle the real-world technical and ethical aspects of technology advancement.

To learn more, contact Admissions or request more information.

Categories: Artificial Intelligence

Are Passwords Becoming a Thing of the Past?

emdecker — Mon, 09 Sep 2024 14:58:48 +0000

Are Passwords Becoming a Thing of the Past? emdecker September 9, 2024

In recent years, a conversation around the future and usefulness of passwords has grown among tech giants and cybersecurity professionals. The possibility of a password-less future, while not entirely new, has gained significant interest with the advancement of artificial intelligence, biometrics, and other technologies. While a complete shift away from passwords has yet to materialize, it may be closer than ever before.

The Password Landscape

Passwords have long been the cornerstone of digital security, but their effectiveness has been increasingly questioned. The rise in data breaches, phishing attacks, and the general inconvenience of managing multiple complex passwords have led to calls for a more secure and user-friendly solution. Several tech companies are at the forefront of the password-less movement, each implementing innovative methods to enhance security and improve user experience.

Microsoft, for instance, has introduced password-less sign-ins for many of its services, using methods like Windows Hello, which leverages facial recognition, and FIDO2 security keys, which allow users to authenticate with biometrics or a security key. Google has been promoting the use of two-factor authentication and has integrated biometric authentication into its services as well, recently announcing that passkeys would replace passwords as the default sign-in method. Apple’s Face ID and Touch ID are prime examples of biometric authentication that aim to replace traditional passwords. These companies are not only enhancing security but also improving user experience by reducing the reliance on passwords and creating an easier and more convenient authentication process.

Password-less Pros and Cons

According to Verizon, more than 80% of data breaches result from weak or compromised passwords, so the push for password-less authentication brings several advantages. Enhanced security is a significant benefit, as password-less methods such as biometrics and hardware tokens are generally harder to steal or replicate due to their nature. Eliminating the need to remember multiple passwords simplifies the user experience, and biometric authentication, for example, is quick, easy, and always within the user’s control. Additionally, with less credentials to steal, phishing attacks could become less prevalent.

However, a password-less future would also present new challenges. Implementation costs can be a significant barrier for organizations, as transitioning to password-less systems would likely require new hardware and software for capturing or storing biometric or passkey data. Many alternatives are only available on select websites and apps, meaning users may need to manage both passwords and alternative authentication methods until the technology becomes more widely used. Because biometric data cannot be changed, it can pose significant privacy risks if compromised. And not all users may have access to the necessary technology, such as smartphones with biometric capabilities and physical security keys, nor is everyone comfortable with having their biometric information captured for privacy reasons.

The Impact of AI on Cybersecurity and Passwords

AI is playing a crucial role in the development and implementation of password-less authentication methods. Behavioral biometrics, for instance, use AI to analyze patterns in user behavior, such as typing speed and mouse movements, to authenticate users without the need for passwords. AI-powered voice recognition systems are also being developed to authenticate users based on their unique vocal patterns. Additionally, AI algorithms can detect unusual activities and potential security threats in real-time, providing an additional layer of security.

The intersection of AI and cybersecurity is fostering new trends that support the move towards password-less authentication through "adaptive authentication." AI systems can adapt authentication methods based on the context, such as the user’s location or the device being used, which can enhance security without compromising convenience. Continuous authentication is another trend where AI continuously monitors and authenticates users throughout their session, thus reducing the risk of unauthorized access. The zero-trust security approach, which assumes that threats could be both external and internal, leverages AI to continuously verify users and devices, making password-less authentication more robust. Conversely, AI technology is also making it easier for passwords to be cracked through tactics like “smart-guessing algorithms.”

While passwords have been a staple of digital security for decades, the push towards password-less authentication is gaining momentum. Tech companies are leading the charge, leveraging AI and other technologies to create more secure, robust, and user-friendly authentication methods. However, the transition comes with its own set of challenges, including implementation costs and privacy concerns. As AI and cybersecurity continue to evolve, the dream of a password-less future may soon become a reality.

Cybersecurity Programs at Capitol Tech

Capitol Technology University offers a variety of Cybersecurity and Computer Science programs that can prepare you to create a password-less future and analyze the risks and cyberthreats of today’s digital landscape. To learn more, contact our Admissions team or request more information.

Categories: Cybersecurity, Artificial Intelligence

AI in Aviation: How an AI Copilot Improves Flight Safety

zqureshi — Thu, 15 Aug 2024 20:47:49 +0000

AI in Aviation: How an AI Copilot Improves Flight Safety zqureshi August 15, 2024

With growing air traffic, increasing demands on pilots, and the ever-present issue of human error, the commercial aviation industry’s pursuit of enhanced aviation safety remains an upward battle – especially in post-COVID times. Now, the emergence of artificial intelligence technology, like that being used with MIT’s Air-Guardian AI Copilot, ushers in a new era of enhanced safety methods – with the potential to revolutionize how pilots safely navigate the skies for years to come.

Aviation Copiloting using AI To Improve Safety

Developed by researchers at MIT’s Computer Science and Artificial Intelligence Laboratory, Air-Guardian extends beyond the limitations of traditional autopilot by forging a collaborative, symbiotic partnership with the pilot. The AI copilot leverages cutting-edge eye-tracking technology as well as “saliency maps, which pinpoint where attention is directed.” This allows for monitoring of where a pilot's gaze falls within a flight environment, from the cockpit to the skies beyond. Gathering valuable insights into the user's focus and decision-making process, Air-Guardian analyses this information in conjunction with real-time flight data to anticipate potential risks, shortcomings, and areas of improvement through detailed algorithm development. This proactive approach allows Air-Guardian to make decisions that complement the pilot's movements before or during the action, rather than after an incident has occurred.

One key advantage of Air-Guardian lies in its adaptability. Unlike traditional autopilot systems that follow a rigid set of parameters, Air-Guardian can adjust its decisions based on specific situational demands. "Our use of liquid neural networks provides a dynamic, adaptive approach, ensuring that the AI doesn't merely replace human judgment but complements it, leading to enhanced safety and collaboration in the skies," stated MIT researcher Ramin Hasani. This adaptability fosters a more responsive symbiosis with the pilot. Ultimately, this collaboration of human expertise and AI-powered intelligence aims to augment a pilot's ability to navigate complex mid-flight situations and improve safety. Air-Guardian represents a significant leap forward in human-centric AI, where the need for human judgment remains relevant, rather than just being replaced entirely.

Understanding the Human Element in Aviation Safety

Pilots act as, essentially, the captain of the aircraft and are in charge of the safety of everyone on board. However, even the most highly skilled and experienced pilots can encounter challenges that compromise safety. Common pitfalls include inadvertently flying into adverse weather conditions or terrain due to miscalculations, inadequate preparation, or slow reaction times. Poor communication between pilots and air traffic control can also lead to misunderstandings and errors in flight operations, like the near miss between jets at Syracuse Hancock Airport in New York last month. Additionally, psychological influences, peer pressure, inflexible thinking, and difficulty adapting to unforeseen circumstances can further contribute to the human element of aviation safety risks and influence risky decision-making. These pitfalls underscore the critical need for continuous tech advancements in aviation safety to help mitigate the daily issues faced by pilots.

Creating Safer Skies with AI Technology

The aviation industry is actively embracing a future powered by technology. Recent funding from the White House is aimed at enhancing surface surveillance systems, terminal automation systems, and runway incursion memory aids. These initiatives will equip air traffic controllers with advanced tools to manage airspace with greater efficiency and precision, leading to a significant reduction in the risk of runway near misses.

There are several existing and arising technologies poised to significantly improve aviation safety:

Advanced navigation systems, like GPS, ensure pilots stay on course and maintain precise altitude, significantly reducing the risk of collisions and promoting efficient flight paths.
Aircraft health monitoring equipment, such as sensors and diagnostic systems, can help modern aircraft continuously monitor the health of critical components, and allows for proactive maintenance and identification of potential issues before they escalate into safety hazards.
Automated flight control systems, such as autopilot and fly-by-wire, aim to help pilots, particularly during long-haul flights or challenging weather conditions and contribute to maintaining stability and control to reduce pilot workload and fatigue.
Collision avoidance systems alert pilots to nearby aircraft and recommend appropriate avoidance maneuvers.
Weather forecasting tools empower pilots to make informed decisions regarding flight paths, allowing them to avoid dangerous weather patterns that could jeopardize flight safety.
Communication systems provide reliable and clear communications between pilots and air traffic control for coordination during takeoffs, landings, and in-flight adjustments.
Emergency response systems facilitate rapid response between air traffic control, emergency services, and the aircraft itself in the event of an emergency.

The intersection of AI and aviation holds the potential to revolutionize flight safety by enhancing methods across all areas of the industry. And as AI continues to evolve, its integration into aviation promises to set new standards for safety and operational excellence.

Aviation Education at Capitol Tech

Are you ready to shape the future of aviation safety? Capitol Technology University offers innovative programs in Aviation and Artificial Intelligence, designed to equip you with the skills to predict, identify, and respond to safety issues in the skies. Our new B.S. in Aviation Professional Pilot program puts you in the pilot seat through extensive, hands-on training with experienced flight instructors, readying you for a career in aviation. Join us to become a leader in this transformative field and make a tangible impact on the future of flight safety. To learn more, contact our Admissions team or request more information.

Categories: Aviation, Artificial Intelligence

Combatting AI Hallucinations and Falsified Information

emdecker — Tue, 30 Jul 2024 17:18:20 +0000

Combatting AI Hallucinations and Falsified Information emdecker July 30, 2024

AI hallucinations are a phenomenon where large language models, like generative AI and chatbots, produce patterns or objects that are incorrect, nonexistent, or entirely fictional. You may have encountered these anomalies in AI-generated images that are meant to, but don't quite represent reality, or in fabricated news stories. While some AI hallucinations may seem minor or even amusing, others can have significant and damaging consequences, hindering the technology’s overall effectiveness. Over time, the persistent spread of misinformation can jeopardize public resources, damage reputations, and undermine our collective knowledge base worldwide.

What are AI Hallucinations?

AI hallucinations are Large Language Models (LLMs) that gather extensive text data from websites, articles, and other sources. This data is cleaned and normalized, ensuring the data is ready to train the LLM algorithm. Finally, the model is fed the data, where it uses neural networks to learn patterns and structures within the data. When prompted, the model responds by calling on this learned knowledge to provide a response, thus having accurate data is critical to ensuring the LLM is properly trained and can provide informed outputs.

AI hallucinations may occur for a variety of reasons. One reason is that, during training, LLMs can become too specialized, which leads to produced responses that don’t align with the intended prompt. Also, if an AI model is trained on biased or unrepresentative data, it may “hallucinate” patterns or features reflecting those biases. And since many models are incredibly complex, they may struggle to provide more general responses if prompted to do so.

Real- World Examples of AI Hallucinations

In its first public demonstration, Google’s ChatGPT-type tool Bard stated that the James Webb Space Telescope recently “took the very first pictures of a planet outside of our own solar system,” even though that photo was taken 16 years prior. This error was noted and reported by astronautical professionals, leading to a $100 billion drop in market value for Alphabet, Google’s parent company.

When two lawyers used ChatGPT to prepare a legal brief, the model invented several court cases that were intended to serve as legal precedents. When the judge could not verify the cited cases, the law firm was fined $5,000, and it undermined confidence in the legal team’s defense.

Shortly after its launch, Microsoft’s Bing AI tool threatened to harm users and claimed to be spying on the company’s employees through webcams. There are also several reported instances of this Bing model fabricating information related to world events, celebrities, and stats and scores of professional sports.

The Chronicle of Higher Education reported that a university librarian was asked to produce articles from a list of references a professor provided. When she concluded the articles did not exist, the professor revealed that ChatGPT had provided them. In academia, researchers are finding that generative AI understands the form of what a good reference should look like, but that doesn’t mean that the articles actually exist. ChatGPT can create convincing references with coherent titles attached to authors who are prominent in the field of interest, and studies have found that up to 47% of ChatGPT references are inaccurate.

Consequences of AI Hallucinations

This type of hallucinated information can spread quickly and lead to public confusion, especially if shared on social media. When this false information is generated, spread, and believed, it can create financial loss and reputational damage for companies, governments, and individuals. It also creates a culture of “fake news” by misleading the public with incorrect facts which could have lasting, long-term effects.

Hallucinations in medical AI systems, for example, can erode public trust in AI-driven healthcare solutions, slowing down technological adoption. In legal cases, it can undermine trust in the judicial process and lead to potential legal liabilities. Investors relying on AI-generated financial analysis might make poor investment decisions based on incorrect data. Companies that create or use hallucinated outputs may face financial loss and unintentionally violate regulations. Relying on AI for operational decisions may waste resources, produce inaccurate analyses, and affect efficiency. Educators and students that cite hallucinated information may perpetuate flawed research and face serious consequences like job termination or expulsion. These hallucinations can also create misunderstandings and conflicts in personal or professional relationships, as well as reduce trust in AI systems, creating barriers for the improved evolution of this technology.

Combatting AI Hallucinations

The frequency and severity of harmful AI hallucinations underscores the importance of careful design, rigorous testing, and ongoing monitoring of AI systems. As the tech industry strives to balance innovation with reliability, there is a focus on reducing hallucinations by using high-quality, current, and diverse training data. Scientists are exploring a new algorithm that can detect AI hallucinations 79% of the time, roughly 10% more than leading models, using semantic entropy – a measure of uncertainty or unpredictability in the meaning of data.

Frequent and thorough testing and evaluation can help uncover performance issues and biases in AI-generated data outputs. Interpretable models – those that attempt to explain what happens in AI’s “black box” or core, hidden algorithm system – may provide explanations for these outputs. Partnering with vendors committed to ethical development and practices in AI can help create more transparent models that can be updated and adjusted effectively. And strengthening prompts with a process called retrieval augmented generation can improve outputs by limiting the scope of information accessed to a more manageable, reliable frame.

Humans play an integral role in this quality assurance process. Incorporating human oversight by qualified AI specialists and professionals during model development and deployment can help in validating outputs, providing corrective feedback, and catching AI hallucinations. Open lines of communication with users can also contribute to model improvement by welcoming their insights as live users or beta users.

Perhaps most importantly, it is crucial that users recognize the limitations of AI models. While these models may produce plausible-sounding responses, it is the responsibility of the user to fact-check and exercise judgment when evaluating or disseminating these outputs. Logic and critical thinking are needed when interacting with AI models and information should be verified even from reliable sources by checking for coherence and consistency in responses.

Exploring AI at Capitol Tech

Capitol Technology University is the first university in Maryland to offer a B.S. in Artificial Intelligence degree, equipping students with the skills needed to build large language models and understand their limitations and social implications. Our AI Center of Excellence offers further opportunities for students to join like-minded peers and industry experts in their mission to advance the frontiers of artificial intelligence.

Request information or contact our Admissions team to learn more.

Categories: Artificial Intelligence

Top Cyber Scams to Watch Out For in 2024

emdecker — Mon, 22 Jul 2024 15:17:46 +0000

Top Cyber Scams to Watch Out For in 2024 emdecker July 22, 2024

Digital-based scams are nothing new, but recent technological developments – especially in artificial intelligence – are helping scammers grow more sophisticated in their attacks and leaving users more vulnerable. In 2023, the FBI reported nearly 900,000 cases of suspected internet crime totaling nearly $12.5 billion in damages and losses. The lucrative nature of these attacks and the challenge users face in battling these evolving schemes means these numbers are likely to increase in the future unless we take proactive measures to protect ourselves. Here, we look at some of the newest and most innovative scams to watch out for in 2024 and beyond.

Crypto Scams

Investment scams promise huge financial gains on cryptocurrency investments for the holder if they transfer their cryptocurrency to the fake financial manager. Scammers may also pray on individuals’ vulnerabilities by posing as celebrities or potential love interests, or socially engineer scams through social media. Once the crypto is transferred, the criminal sells or offloads the coin, leaving the original holder empty-handed.

Cryptocurrency phishing scams involve deceptive tactics that trick individuals into revealing sensitive information, such as private keys or personal details related to their digital wallets. Scammers often initiate these attacks through email, social media, and text messages. By sending emails that mimic legitimate crypto exchange communications or creating lookalike replicas of authentic crypto trading platforms, scammers may get users to unknowingly enter their private keys onto these sites.

Scammers are also targeting crypto holders through fake software upgrades and stealing two-step verification codes often required to access digital wallets. Others set up fake crypto exchanges and wallets, enticing users with lower prices and frequent investment requests.

Robocall Scams

Long the bane of nearly all recipients, robocalls are nothing new. However, as these calls become powered by artificial intelligence, they are becoming increasingly convincing and manipulative. AI can be used to clone voices and spoof numbers, making scam calls look like legitimate outreach from banks, government agencies, and other organizations. “When combined with well-thought-out social engineering campaigns, GenAI can cause unprecedented financial damage in mass-scale phishing or fraud campaigns,” states Dr. Ilia Kolochenko, an adjunct professor at Capitol Technology University and global cybersecurity expert, in his recent interview with Fox News.

AI is even being used to spoof voices of family members and other loved ones to fake kidnappings and demand ransom. These scams are so prevalent and dangerous that using AI-generated voices in robocalls is now illegal in the United States.

Exploitive Emails

The number of exploitive spam and scam emails that people receive daily is daunting. Some hackers have found a new exploitation by using a workaround within OneDrive and the app, OneNote. They send what looks to be a legitimate link to your email, which opens a OneNote file. There may be a “button” to press, such as “View PDF Here,” which is actually an overlay banner hiding several run scripts and .exe (execute) files underneath. When you click the “button”, you initiate a malware download onto your device. They can also manipulate the OneNote file to ask you to enter your OneDrive credentials. If you receive an unexpected OneDrive or OneNote file from a trusted sender, such as in the workplace, it is best to call the sender to be sure it’s safe before opening.

AI-Powered Scams

Despite many of these tech-based scams being around for decades, artificial intelligence is helping to make them easier to set up and harder to detect. AI is being used to write more believable text for phishing emails and create fake social media profiles that can trick users into sharing personal information. Fake apps and websites may claim to use GPT technology but are a vehicle for scammers to trick users into entering sensitive information. And AI-powered scams are deceiving people in two of their most vulnerable settings – in the workplace and in their love lives – by creating convincing but fake job postings and online dating profiles. Backed by AI, these scams can more efficiently and effectively trick users and leave them vulnerable to financial and emotional exploitation.

Other Cyber Threats

While these scams may be the most novel or prevalent, there are plenty of other cyberthreats threatening our financial security. Instead of being erased chemically, physical checks can be altered digitally and reprinted to show a new payee and then deposited through a mobile banking app. Scammers can also capture your simple responses during a phone call to create a deepfake of your voice to navigate automated phone menus and conversations for their benefit. These deepfakes can be applied to the common “grandparent scam,” where someone pretends to be a grandchild in legal trouble who calls their grandparent asking for money. In a similar tactic, scammers may pretend to be a family member who is having trouble on a trip – a lost wallet, a run in with police, a medical emergency – and then reach out to a person’s phone contacts or Facebook friends asking for money. Fraudulent claims that you’ve won a digital sweepstakes can leave you vulnerable to identify theft as well, as scammers may ask for personally identifiable information like a social security number to distribute your prize. When they have that information, they can open credit cards in your name and access other financial resources.

Quick Tips for Protecting Against Scams

When protecting yourself against cybercriminals, you must be vigilant and wary of incoming threats. From emails to physical mail to phone calls to social media messages – each of these avenues has potential for scams. Below are just a few of the many tips that can help prevent falling victim to such crimes:

DO NOT CLICK any links within an email, text, or social media message that you do not trust. If you do trust the sender and they send you a link unexpectedly, call them to verify first. Even trusted sources can get hacked, and even just clicking a link or opening a PDF, etc. can install malware onto your computer.

If it sounds too good to be true, it is. Do not trust offers of money, free items, or suspiciously good deals, especially if it requires an exchange of sensitive information, money up front, or bargaining outside of a protected site.

Hover your mouse over a hyperlink (do not click it) to check what the actual link directs to – if it is different from the hyperlink text, avoid it.

Be wary of solicitors that call you first, or out of the blue. For example, if your bank calls you asking for information, politely hang up and call the number on their official website and check if they just called you. More likely than not, the original call was not from them.

Look out for spoof numbers that pretend to be from a legitimate source. Malicious actors can mask their numbers to read as actual government agencies like the FBI.

Agencies like the IRS, MVA (DMV), and United States Postal Service have specific methods of contacting you and what information they collect. For example, the IRS will never call or email you, they only send physical mail, and the USPS will not text you about a package hold. Be wary of suspicious communications from people who claim they are from these agencies.

Shred documents and mail that display your information before throwing them away.

Be on the alert for Facebook marketplace or Craigslist scams, like fake paper bills, fake Zelle and PayPal emails or texts, and other scams.

Do not log into an account from an email or text received. Type the site into your browser or log in from the app.

Set up online banking alerts for any transaction run on your credit card or accounts. Most banks will send a text alert for any charge, or changes made to your account, but you often need to set these parameters yourself.

Consider setting up secure online payments for bills instead of sending physical checks in the mail, as this practice has become increasingly risky.

Install and routinely run anti-virus on your devices from trusted vendors and have your Windows, Android, or Apple software set to update regularly. Security patches are important for protecting your computer and cell phone.

Do your research – watching the news, joining your neighborhood’s Nextdoor app group, and searching information online from legitimate sites can help you stay in-the-know as to what to watch out for when it comes to both local and global scams.

Cybersecurity Education with Capitol Tech

Capitol Technology University is a leader in cybersecurity education, recognized by the National Security Agency (NSA) and Department of Defense (DoD) as a National Center of Academic Excellence in Cyber Defense (NCAE-CD). We are committed to cyber education that emphasizes the ethical and technical proficiencies needed to excel in the field. Our Cyber & Information Security programs teach students how to identify and protect against cyber scams that threaten organizations, helping them become experts across many industries and trades. For more information, contact our Admissions team or request more information.

Categories: Cybersecurity, Artificial Intelligence

Facial Recognition and AI Technology: Congress Calls for New TSA Privacy Regulations at Airports

emdecker — Fri, 31 May 2024 16:50:55 +0000

Facial Recognition and AI Technology: Congress Calls for New TSA Privacy Regulations at Airports emdecker May 31, 2024

The Transportation Security Administration began incorporating facial recognition technology into its security protocols in 2020 to enhance airport security measures. This technology captures real-time images of travelers to verify their identities against the photos in their government-issued IDs at security checkpoints.

Currently, the technology is deployed at 84 airports, though there are plans to increase this number to more than 400. The TSA assures fliers that photos taken for verification are not stored after the process, except in a limited testing environment where data is retained for assessment purposes. While the technology is currently optional, it represents a shift towards more advanced security procedures and more permanent implementation, with certain cybersecurity risks inherent to these new methods.

Growing Concerns of Facial Recognition AI Technology

Several U.S. Senators raised concerns about TSA’s use of facial recognition AI, reflecting the tension between technological advancement and individual rights. Two primary concerns are the potential for privacy violations through the misuse of sensitive biometric data, and the fear that widespread use of facial recognition technology could pave the way for a national surveillance state where citizens are constantly monitored without their consent.

Senators have argued that there needs to be rigorous congressional oversight before the TSA is allowed to expand its use of facial recognition tools. Without proper checks and balances, there is a risk that this technology could be deployed in ways that infringe upon individual rights. Despite the TSA’s claim that photos are not stored after verification, concerns persist about the potential for data misuse or cybersecurity risks like hacking by malicious actors, especially in testing environments where retention of data is part of the assessment process.

Senators point out that many travelers are not fully informed about their consent options and ability to opt out of facial recognition screening process, leading individuals to unwittingly surrender their privacy rights. And most notably, studies have shown that certain demographics—particularly Asian and African American individuals—are more likely to be misidentified by facial recognition technology. This discrepancy raises alarms about the technology’s fairness, reliability, and security.

Congressional Responses to AI Technology

In response to these growing concerns, a bipartisan group of U.S. Senators introduced the Traveler Privacy Protection Act of 2023 late last year. This proposed legislation aims to ban the TSA’s use of facial recognition screening at airports until Congress can provide proper oversight, ensuring that the deployment of such technology does not outpace the necessary legal and ethical frameworks. It would also require TSA to delete any facial biometric information it has already collected.

The proposed regulation is part of a broader legislative effort encapsulated in the Bipartisan, Bicameral FAA Reauthorization Act, which will soon go to the Senate floor. This act includes priorities to strengthen aviation safety, protect consumers, boost the aviation workforce, modernize airports, and advance innovative technology. It also authorizes substantial funding for the FAA and sets new consumer protections into law. The Traveler Privacy Protection Act of 2023 remains in the early stages of the legislative process. Its future will depend on the outcomes of committee deliberations and the subsequent actions of Congress.

As the TSA’s facial recognition program moves from pilot stages to broader implementation, it is imperative that these issues are addressed through public discourse and legislative action to protect the rights and freedoms of individuals. The call for a halt to the TSA’s facial recognition technology until proper oversight is in place reflects a cautious stance on the part of lawmakers, who seek to ensure that security enhancements do not come at the expense of fundamental rights.

Recognizing Your Future at Capitol Tech

Capitol Technology University offers degree programs in Aviation and Astronautical Sciences and Computer Science, Artificial Intelligence and Data Science, which prepare you to understand the social and ethical implications of emerging technologies in the aviation, cybersecurity, and artificial intelligence industries. For more information, contact our Admissions team or attend an online open house session today!

Categories: Artificial Intelligence, Aviation

The Future of Communication: How AI is Transforming the Way We Connect

zqureshi — Wed, 22 May 2024 14:16:28 +0000

The Future of Communication: How AI is Transforming the Way We Connect zqureshi May 22, 2024

The way we communicate is constantly evolving. From the invention of the printing press to the rise of the internet, each technological leap has redefined the landscape of information-sharing and interpersonal connection. In our modern era, the emergence of artificial intelligence stands poised to propel this evolution to unprecedented heights. From personalization to translation to automation, our methods of communication are undergoing yet another profound change, promising to reshape the way we connect as a society.

AI Transforming Personalized Communication

One of the most significant ways AI is transforming communication is through personalization. AI-powered tools can analyze vast amounts of data, including user behavior, preferences, and communication patterns. This allows for the creation of highly targeted and tailored communication strategies. For example, customer service chatbots can answer your questions regarding orders, products, and services, and even anticipate your needs based on past interactions. This level of personalization can significantly improve customer satisfaction and loyalty over time. AI can also craft targeted advertising campaigns that resonate with specific demographics and interests, leading to more effective marketing strategies and a better user experience.

AI Use in Language Translation

AI can be used to bridge the communication gap between differing languages. Real-time translation tools like smartphone apps and Google Translate, powered by AI, are revolutionizing how we interact across cultures. Whether during a worldwide conference or an international trip abroad, a tool of this nature could be used to foster more seamless communication and collaboration.

Beyond spoken language, AI is also making strides in text translation. Machine translation services like DeepL are becoming increasingly sophisticated and capable of translating complex documents and nuanced writing styles with greater accuracy. This opens doors for global collaboration, allowing researchers and businesses to share knowledge and resources more efficiently, especially in the medical and life sciences fields.

Automated Communication Through AI

As mentioned previously, AI Chatbots are transforming the way businesses communicate with customers. By offering 24/7 support and automated assistance, AI can handle basic inquiries, troubleshoot problems, and even complete simple transactions, all without human intervention. This allows human customer service representatives to focus on more complex issues, increasing efficiency and improving customer satisfaction.

Conversational AI is also improving other areas, such as education and healthcare. AI-powered tutors can provide information for students, while chatbots can offer essential medical advice and answer patient questions. These automated AI applications can potentially change how we access information for these crucial sectors.

Concerns over AI-powered Communication

Incorporating AI into communication offers undeniable benefits and can positively impact the workplace, leading to increased efficiency and productivity overall.

However, there are some concerns for implementing this technology. For instance, it is important to remember the irreplaceable role of human connection, as effective communication relies not just on transmitting information but also on empathy, understanding, and shared experiences. Although AI can be a powerful tool, it cannot replicate the nuances of human interaction, making it crucial to balance automation and human connection.

The increasing use of AI in communication also raises ethical concerns. Biases in the data used to train AI models can lead to discriminatory communication practices. Additionally, the reliance on AI for communication could lead to social isolation and a decline in face-to-face interaction. It is important to establish ethical frameworks for developing and deploying AI in communication to ensure transparency, fairness, and accountability of use.

Exploring an Education in AI

Capitol Technology University offers undergraduate and graduate degrees in AI, including the first-of-its-kind Bachelor of Science in AI in Maryland for students to explore the many facets, skills, and ethics behind this new technology. Our AI Center of Excellence was established as well for students to foster a dynamic ecosystem for research, education, and industry collaboration in this exciting and evolving field.

Considering a career in AI? Learn more by attending a virtual info session or contacting our admissions office.

Categories: Artificial Intelligence