Neural networks have transformed how machines find patterns in data, from recognizing faces in photos to predicting the ...

With its ultra high speed, low power consumption, and large scale parallel processing capabilities, photonic neural networks have emerged as a next generation disruptive computing paradigm. Over the ...

Quantum computing and AI are among the most rapidly developing modern technologies. AI, in the form of machine learning, has ...

Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates. Networks programmed directly into computer chip hardware can ...

Energy-efficient visible-band intelligent vision processors demands both optical neural network (ONN) design and high-speed nanofabrication advances. Chinese researchers proposed a random-projection ...

Planar light-responsive nanofluidic memristors combine ionic memory, programmable weights, logic, and in-sensor processing in ...

During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...

A research team from Skoltech and Saint-Petersburg State University of Aerospace Instrumentation have presented a paper in which they pioneered an alternative method for detecting decayed and moldy ...

Brain-computer interfaces (BCIs) have made remarkable progress restoring movement and speech in people with paralysis. While brain-computer interface technology thus far has largely focused on ...

In an ideal world, the role of technology would be to make all of our lives easier. And although all the ads suddenly ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...