Microsoft commits $2.5 billion to AI innovation, fueling advancements in technology and redefining industry standards for the future.

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

AWS and Microsoft want to embed thousands of their own engineers at client companies to help them capitalize on artificial ...

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

CarbonSix Inc., a developer of deploy-ready robotic artificial intelligence solutions, announced Wednesday it raised $40 ...

Researchers at Binghamton have studied how wars, such as in Ukraine, have led to better landmine detection and don't require internet connections.

Open-source agentic coding model Ornith-1.0, released today under the MIT license, uses a self-improving reinforcement ...

LFM2.5-230M proves that while 3-billion-parameter models like VibeThinker are solving advanced calculus, a ...

SHENZHEN -- The deployment of a new 24-hour rapid intensification forecast model for typhoons and its 12-hour rapid intensification forecast service now offer China significantly enhanced forecasting ...

Abstract: In this paper, a novel framework is proposed to enable a predictive deployment of unmanned aerial vehicles (UAVs) as temporary base stations (BSs) to complement ground cellular systems in ...

Aidoc, a startup that developed foundation-model-powered clinical AI solutions, landed a $150 million funding round, less than a year after raising the same nine-figure amount in new financing. The ...

Abstract: Training and deploying large-scale machine learning models is time-consuming, requires significant distributed computing infrastructures, and incurs high operational costs. Our analysis, ...