Challenging the brain with new learning, like a new language, may build cognitive reserve and memory confidence.

Hardware fragmentation remains a persistent bottleneck for deep learning engineers seeking consistent performance.

Agnik, the global leader of the vehicle analytics market, announced today that it is going to offer a wide range of Deep Machine Learning-based solutions for powering its new and existing products in ...

A new study from researchers at Stanford University and Nvidia proposes a way for AI models to keep learning after deployment — without increasing inference costs. For enterprise agents that have to ...

“I get asked all the time what I think about training versus inference – I'm telling you all to stop talking about training versus inference.” So declared OpenAI VP Peter Hoeschele at Oracle’s AI ...

Non-determinism and non-reproducibility present significant challenges in deep learning, leading to inconsistent results across runs and platforms. These issues stem from two origins: random number ...

SUNNYVALE, Calif.--(BUSINESS WIRE)--Cerebras Systems, in partnership with G42’s Inception and MBZUAI’s IFM, today announced the release of Jais 2, the leading open-source Arabic LLM – the first ...

Trained on the industry’s largest, highest-quality Arabic-first dataset, Jais 2 sets new standards for accuracy, fluency, and cultural intelligence Cerebras Systems, in partnership with G42’s ...

AutoJudge introduces a novel method to accelerate large language model inference by optimizing token processing, reducing human annotation needs, and improving processing speed with minimal accuracy ...

Most were receiving first or second line treatment and 74% had bone metastases. Half of the patients were offered standard care and half were offered a nine-month exercise programme, consisting of ...