AI News Archive - Browse Page 2 of 159

Why does model choice matter in computational pharmacovigilance? While the InferBERT framework promises to blend transformer architectures with...

The paper asks a deceptively simple question: can a neural language model figure out the idea of “zero” on its own?

Pinterest rolled out an experimental app called “Ask Pinterest” on Wednesday, aiming to test a conversational shopping experience that could later be...

OpenAI has rolled out a new safety checkpoint it calls Deployment Simulation. The premise is straightforward: before a model reaches customers,...

Developers targeting AR glasses and other XR wearables have hit a snag: the hardware works, but the software stack doesn’t.

NVIDIA’s Blackwell architecture is now the centerpiece of the biggest MLPerf Training 6.0 submission to date.

The Justice Department has stepped into a courtroom fight that pits civil‑rights litigation against what officials call a national‑security...

Why does this matter now? HPE and NVIDIA are rolling out a new AI‑focused hardware stack that targets the emerging “agent” workflow.

Why does this matter? Because an open‑weights model is now posting scores that challenge the big proprietary players.

Every swipe, transfer and payment leaves a trace of human behavior, turning transaction logs into one of the richest signals an enterprise can own.

PrologMCP has arrived as a task‑agnostic, open‑source server that lets large language models hand off deduction to a Prolog solver.

A Berlin court handed down a decision in early June that treats Google’s AI‑generated “Overviews” as nothing more than a fresh way to display...

SpaceX announced today that it will acquire AI‑coding platform Cursor for $60 billion in an all‑stock deal, with closing expected in the third...

Why does this matter? Because a Mac Mini can become the cheap, quiet hub for your OpenClaw agents—no monthly fees, just the hardware you already own.

An LLM engineer isn’t just a machine‑learning coder. While a traditional ML engineer might spend months building a network from the ground up, an LLM...

Transformers power most large‑language and generative‑AI systems today. As models swell, the GPU hours required for a single training run climb...

NVIDIA’s RTX suite is already woven into Unreal Engine 5 through the RTX Branch and the DLSS plugin, giving developers instant access to ray‑traced...

AMD has posted a detailed guide for anyone wanting to reproduce its MLPerf Training v6.0 results.

AMD has laid out its MLPerf Training v6.0 results, showcasing how the latest Instinct GPUs perform on three high‑profile benchmarks.

NVIDIA just swept the latest MLPerf Training v6.0 results, a benchmark suite run by the MLCommons consortium. Why does this matter?