Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.

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 ...

SHENZHEN, China, May 13, 2025 /PRNewswire/ -- MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), they announced today their research on quantum visual computing, exploring the integration ...

When a videogame wants to show a scene, it sends the GPU a list of objects described using triangles (most 3D models are broken down into triangles). The GPU then runs a sequence called a rendering ...

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, training on databases, and special computer chips.

Bold new Chinese research in the field of neural probes has helped break through the boundaries that separate humans and machines, and could have a “transformative impact” on brain-computer interface ...

Patentability Of Artificial Neural Networks To Be Decided By UK Supreme Court On Wednesday 11 February. Legal News and Analysis - United Kingdom - Intellectual Property - Conventus Law ...