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 ...

The field of computer graphics has witnessed a transformative shift in real-time rendering through the integration of neural network methodologies. Traditionally, rendering pipelines relied on ...

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 ...

Physicists working with computer specialists have developed a so-called event-based architecture, using photonic processors. In a similar way to the brain, this makes possible the continuous ...

In 1956, during a year-long trip to London and in his early 20s, the mathematician and theoretical biologist Jack D. Cowan visited Wilfred Taylor and his strange new “learning machine”. On his arrival ...

A new publication from Opto-Electronic Advances, DOI 10.29026/oea.2023.220049 discusses a high performance “non-local” generic face reconstruction model using the lightweight Speckle-Transformer (SpT) ...

In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise. eSpeaks’ ...

EvoChip.ai, a computer architecture innovator redefining AI efficiency, today announced results from a controlled benchmark study demonstrating that its AltiCoreAI technology delivers 13 to 41 times ...

A new type of material can learn and improve its ability to deal with unexpected forces thanks to a unique lattice structure with connections of variable stiffness, as described in a new paper by my ...

Nvidia researchers have proposed a neural network-based method for compressing material textures that, in results reported in ...