Took 1st place in Track C and Grand Prize among all 20 competing teams with synthetic data generation technology specialized ...

Spread the loveIn a significant leap for the pharmaceutical and biotech industries, QMatter, a London and Boston-based startup, has successfully raised $1.2 million in a pre-seed funding round. This ...

Nvidia's new VRAM trick only works on cards expensive enough to not need it ...

A research team has developed a Gaussian Splatting processing platform that supports end-to-end processing from data acquisition to multi-platform rendering. Their framework provides a solid ...

Researchers have developed a dynamic range compression dual-domain attention network for enhancing tunnel images under extreme exposure conditions, a problem that continues to challenge transportation ...

Abstract: The widespread deployment of phasor measurement units (PMUs) has introduced unprecedented challenges in handling the transmission and storage of extensive synchrophasor data. Addressing ...

Running a 70-billion-parameter large language model for 512 concurrent users can consume 512 GB of cache memory alone, nearly four times the memory needed for the model weights themselves. Google on ...

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...

Nvidia researchers have introduced a new technique that dramatically reduces how much memory large language models need to track conversation history — by as much as 20x — without modifying the model ...

TL;DR: The current DRAM crisis and rising DDR5 and GPU prices challenge PC upgrades, especially for gamers. NVIDIA's RTX Neural Texture Compression, now available to developers, uses AI to drastically ...

ABSTRACT: The aim of this work is to study the behavior of a double-lap hybrid metallic/composite bolted joint under quasi-static tension loading at room temperature (RT) and cryogenic temperature (CT ...