Bittensor launches Grayscale TAO Trust for institutional investors while expanding to 256 subnets. Multiple subnets now ...

Google’s system leverages optical circuit switching (OCS) to create direct, low-latency optical paths between TPU chips, minimizing signal conversion losses. They avoid repeated ...

When the FORTRAN programming language debuted in 1957, it transformed how scientists and engineers programmed computers. Complex calculations could suddenly be expressed in concise, math-like notation ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

They managed to cut the size of the AI reasoning model by more than half—and claim it can now answer politically sensitive questions once off limits in Chinese AI systems. A group of quantum ...

Researchers from The University of New Mexico and Los Alamos National Laboratory have developed a novel computational framework that addresses a longstanding challenge in statistical physics. The ...

(A) Illustration of a convolutional neural network (NN) whose variational parameters (T) are encoded in the automatically differentiable tensor network (ADTN) shown in (B). The ADTN contains many ...

This review represents a strategic blueprint shaped by the world’s leading quantum experts. We believe that solving the most complex challenges requires collective intelligence and collaboration.” — ...

Although OpenAI says that it doesn’t plan to use Google TPUs for now, the tests themselves signal concerns about inference costs. OpenAI has begun testing Google’s Tensor Processing Units (TPUs), a ...

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