The United States is quietly reorganizing air combat around artificial intelligence, and the first proof is arriving on the ...

Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...

When the FORTRAN programming language debuted in 1957, it transformed how scientists and engineers programmed computers.

Biological neural networks are immensely complex systems underlying all aspects of cognition and behavior. Despite significant advances in neuroscience, a ...

Abstract: The emulation of permanent magnet synchronous machines (PMSMs) is critical for the advancement of power electronics and drive converter testing, particularly within ...

Blending ‘old-fashioned’ logic systems with the neural networks that power large language models is one of the hottest trends ...

Information Theory Meets Deep Neural Networks: Theory and Applications. The previous volume can be viewed here: Volume I Deep Neural Networks (DNNs) have become one of the most popular research ...

Abstract: The paper addresses the fault-tolerant optimized control of switched complex networks with unknown state and actuator fault. A proportional-integral intermediate observer is constructed to ...

The Defense Advanced Research Projects Agency awarded Professor Jie Gu and co-PIs from the University of Minnesota and Duke University up to $3.8 million through the Scalable Analog Neural-networks ...

A 2025 Investigation Into The 7-Second Audio That Claims To Boost Focus, Memory, And Mental Energy Without Pills Or Stimulants. This investigative review examines Neuro Energizer's Technology, User ...