In effect, Tensordyne claims to have built a chip in which the multiply accumulate (MAC) unit works without actually doing ...

Transformations are the key to such codes, and they rely on math that predates computing as we know it by centuries. There ...

PDF. Explore the latest unit-wise weightage, detailed chapter topics, question paper design, and internal assessment details ...

AI adoption is reaching an inflection point as the focus shifts from training new models to serving them. For the AI startups vying for a slice of Nvidia's pie, it's now or never. Compared to training ...

Triton is a language and compiler for writing highly efficient ML primitives, one of the most common primitive is matrix-multiplication. Triton typically builds these primitives using just-in-time ...

CUDA-L2 is a system that combines large language models (LLMs) and reinforcement learning (RL) to automatically optimize Half-precision General Matrix Multiply (HGEMM) CUDA kernels. CUDA-L2 ...

A startup hopes to challenge Nvidia, AMD, and Intel with a chip that wrangles probabilities rather than 1s and 0s. The startup’s chips work in a fundamentally different way than chips from Nvidia, AMD ...

Abstract: By combining the echoes of two channels in azimuth, and utilizing the super-resolution algorithm for ill-posed problems, the left/right ambiguity in forward-looking synthetic aperture radar ...

Google DeepMind has used chatbot models to come up with solutions to major problems in mathematics and computer science. The system, called AlphaEvolve, combines the creativity of a large language ...