However, AI models are often used to find intricate patterns in data where the output is not always proportional to the input ...

Explore the future of energy-efficient chips with CEO Brandon Lucia. Discover how efficiency is reshaping technology and ...

Processing-in-memory (PiM), a silver bullet for TinyML, is just one tool to execute SLMs and some LLMs effectively at the far ...

Microsoft is enabling neural rendering in DirectX, opening up the new rendering technique to GPUs from all brands.

A key piece of the AI-enhanced DirectX will be a technology called Cooperative Vector Support. Microsoft says adding this ...

Just as GPUs once eclipsed CPUs for AI workloads, Neural Processing Units (NPUs) are set to challenge GPUs by delivering even ...

A new technical paper titled “Leveraging ASIC AI Chips for Homomorphic Encryption” was published by researchers at Georgia ...

Computer scientists from Argonne National Laboratory enabled a 100x speedup in the analysis of genetic associations that may be causal in disease formation using the world’s most diverse genetic ...

Prior efforts to develop hardware for optimization problems have involved Ising machines, a category of hardware solvers that ...

In this work, we propose the extension of the scalar Karatsuba multiplication algorithm to matrix multiplication, showing how this maintains the reduction in multiplication complexity of the original ...