Neural networks have transformed how machines find patterns in data, from recognizing faces in photos to predicting the shapes of proteins. So far, all of this progress has been made on ordinary ...

With its ultra high speed, low power consumption, and large scale parallel processing capabilities, photonic neural networks ...

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 ...

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 ...

Optical illusions, quantum mechanics and neural networks might seem to be quite unrelated topics at first glance. However, in new research I have used a phenomenon called “quantum tunnelling” to ...

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 ...