Tether successfully integrated Google’s TurboQuant into the inference engine of its local AI framework, QVAC. It is the ...

Cleveland Clinic researchers are unlocking quantum computing's full potential through the creation of a new computing ...

Version 5.0 Modernizes DNN Engine, Adds LLM/VLM Support, and Enhances Core, Hardware Acceleration, and 3D Stack.

AI plays a role in improving defect capture rate and distinguishing between yield-killing and nuisance defects. New developments in wafer edge inspection are proving essential to bonded wafer yields.

Agentic AI security dominated Infosecurity Europe 2026 as Toronto researchers proved a free open-weight AI worm can ...

After his historic AIR 1 performance, Sachdeva pursued a B.Tech in Computer Science at IIT Bombay, graduating in 2008 with ...

Researchers from MIT and elsewhere have developed a more user-friendly and efficient method to help networking engineers identify potential system failures before they cause major problems, like a ...

Abstract: Influence Maximization (IM) is to select a subset of nodes from a social network such that the number of nodes influenced by this subset will be maximized. Due to the growing size of social ...

One of the telltale signs that your computer has been compromised is unexplained slowdowns and constant background activity — even when you’re not using your computer. Additionally, look out for ...

turboquant-py implements the TurboQuant and QJL vector quantization algorithms from Google Research (ICLR 2026 / AISTATS 2026). It compresses high-dimensional floating-point vectors to 1-4 bits per ...

The purpose of this paper is to explore the mechanism of 18β glycyrrhetinic acid (18β-GRA) in treating gastric cancer. Firstly, the toxicological effects of 18β-GRA were predicted using the ProTox3.0 ...