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 ...

Teachers from 10 elementary schools in rural Kansas will have support integrating place-based education into their curriculum through school-community connection and collaboration in a project led by ...

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 ...

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 ...

By borrowing ideas from the brain, UT Dallas researchers have created hardware that learns on its own with minimal energy use ...