Opinion

'Earth cannot afford today's AI...': Sridhar Vembu hails Sarvam AI's low-compute rath

Bengaluru-based Sarvam AI has emerged as a key player in India’s ambition to transition from being merely an AI consumer to an AI builder, developing foundational models tailored to Indian languages ...

OpenAI deploys Cerebras chips for 'near-instant' code generation in first major move beyond Nvidia

OpenAI launches GPT‑5.3‑Codex‑Spark, a Cerebras-powered, ultra-low-latency coding model that claims 15x faster generation speeds, signaling a major inference shift beyond Nvidia as the company faces ...

AI startup The Biological Computing Co. raises $25M to swap out silicon for lab-grown brains

TBC, as the startup likes to refer to itself, said today it has raised $25 million in seed funding from Primary Ventures to ...

OpenAI's new Spark model codes 15x faster than GPT-5.3-Codex - but there's a catch

OpenAI's new GPT-5.3-Codex-Spark promises ultra-fast, conversational AI coding, if you can tolerate a few trade-offs.

A Radical New Computer Could Replace Electricity With Light—and Make Processing Unstoppable

A team of researchers developed “parallel optical matrix-matrix multiplication” (POMMM), which could revolutionize tensor ...
Semiconductor Engineering

Faster Mask Synthesis With GPUs

Design teams face rising pressure to deliver larger chips with higher transistor densities on tighter schedules using advanced node processing. The computing demands of modern applications, especially ...
Frontiers

Octant overlapping and angle-energy group expanded KBA parallelism of three-dimensional discrete ordinate method

1 State Key Laboratory of Thorium Energy, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai, China 2 University of Chinese Academy of Sciences, Beijing, China Introduction: ...
University of Vermont

IceCore Advances a New Era of Discovery at UVM

UVM's next-generation supercomputer delivers 100 petaflops of GPU power—multiplying research capacity 25-fold and opening the door to breakthroughs for CEMS researchers and across campus. Funded ...
Oak Ridge National Lab

DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning...

Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...
Semiconductor Engineering

Parallel Implementation Of Nonlinear Functions Using An Optical Processor (UCLA)

A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive processors” was published by researchers at UCLA. “Nonlinear computation is ...
EurekAlert!

Massively parallel implementation of nonlinear functions using an optical processor

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials. Reported in ...
techxplore

Optical system uses diffractive processors to achieve large-scale nonlinear computation

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials. Reported in ...