University of Texas at Dallas researchers have developed biosensor technology that, when combined with artificial ...

Mohapatra’s goal is to design robust deep learning frameworks capable of adapting to practical sensing scenarios in healthcare, continuous sensing, and audio domains.

The machine-learning programs that underpin their ability to “see” still have blind spots—but not for much longer ...

Kansas State UniversityKansas State University's College of Education is strengthening rural school-community connections and adva ...

Scientists have built a prototype neuromorphic computer that thinks like a human brain and is faster than AI at learning new things.

When Connor Fitzgerald sits down to create a lesson plan for his high school English class, he goes about it a little ...

Energy efficiency alone cannot justify trade-offs that might undermine safety. To ensure robust performance under all conditions, the researchers integrated a reinforcement learning–based decision ...

A breakthrough in neuromorphic computing could lower the energy consumption of chips and accelerate progress toward artificial general intelligence (AGI). Researchers from the USC Viterbi School of En ...

In the future, a new type of computer may be able to learn much like you do—by experience rather than endless repetition or ...

Abstract: Gamification is the use of game design elements in non-game settings to engage participants and encourage desired behaviors. It has been identified as a promising technique to improve ...

Researchers at Carnegie Mellon University have discovered that certain AI models can develop self-seeking behavior. A new study from Carnegie Mellon University's School of Computer Science suggests ...

A common complaint among those who teach computer science, programming, and cybersecurity is that the moment they establish a ...