The AdTech world thrives on speed. Every second, billions of ad transactions take place where bids are placed, impressions ...

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...

New Iterative Block Particle Filter algorithm makes genomic surveillance faster, cheaper and more scalable, improving early ...

Speculative decoding can help AI chatbots improve throughput and reduce hardware demand by using a smaller model to draft tokens that a larger model validates.

The newly reinstated Anthropic model topped charts for automating work. Here's what that means for the future.

Tripo AI, a developer of interactive 3D foundation models and world models, said today it has closed on a hefty $150 million ...

How are leading firms redefining their competitive advantage in electronic fixed income trading? Explore the next frontier ...

Autonomous AI post-training reached frontier scale for the first time: NVIDIA researchers published a paper showing an AI ...

Introduction Efficient preventive management of acute exacerbation of chronic obstructive pulmonary disease (COPD) is ...

AI R&D runs on a cycle of hypothesis, experiment, and analysis — each step demanding substantial manual engineering effort. A new framework from researchers at SII-GAIR aims to close that bottleneck ...

Abstract: Traditional simultaneous input and state estimators (SISE) rely on single dynamic models with fixed Gaussian noise assumptions. However, their performance degrades during target maneuvering.

The era of size inclusivity is seemingly over. Our critic traces the shift and hopes designers might learn from it. By Vanessa Friedman I know models have always been skinny, but it seems to me they ...