Classiq 1.0 is designed for enterprise quantum R&D groups, algorithm developers, researchers and engineering teams that need to connect classical logic and constraints to quantum models and carry that ...

The history of AI training has been shaped by the limits of communication. For years, progress depended on placing machines ever closer together, inside increasingly complex data centers.

A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

The Department of Energy (DOE) has released specifications for 26 artificial intelligence (AI) challenges under its Genesis Mission that could reshape how ...

McGill and Queen's University researchers have built an improved version of a computer that uses light to solve extremely hard problems more quickly ...

SkyLink Telematics: Flux Power Holdings ( FLUX 10.64%) 's proprietary hardware and software solution enabling real-time ...

Companies ranging from OpenAI, Meta, Microsoft, and Google to smaller firms and startups are looking for high-quality AI ...

Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.

Non-terrestrial networks have their own challenges that cellular networks didn't have. Will AI help solve them dynamically?

Q2 2026 Earnings Call February 12, 2026 4:30 PM ESTCompany ParticipantsJoel Achramowicz - Managing Director of ...

Flux Power Holdings, Inc. (NASDAQ:FLUX) Q2 2026 Earnings Call Transcript February 12, 2026 Flux Power Holdings, Inc. beats earnings expectations. Reported EPS is $0.04, expectations were $-0.07.

The hunt is on for anything that can surmount AI’s perennial memory wall–even quick models are bogged down by the time and energy needed to carry data between processor and memory. Resistive RAM (RRAM ...