Adapting to global shifts takes endurance, not speed. Companies treating change as a chance to rethink fundamentals can do ...

The recent decision in United States v. Heppner, No. 25-cr-00503-JSR (S.D.N.Y. Feb. 10, 2026), underscores the need for ...

The MarketWatch News Department was not involved in the creation of this content. The acquired portfolio of highly interconnected data centers in Buffalo, Nashville and Tampa is the result of a joint ...

The acquired portfolio of highly interconnected data centers in Buffalo, Nashville and Tampa is the result of a joint venture with Novacap The acquisition represents the second portfolio that H5 Data ...

Time-LLM is a framework that repurposes pre-trained large language models (such as Mistral and LLaMA) for time-series forecasting tasks without requiring LLM-specific training data. It treats ...

Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller steps. These powerful models are particularly good at challenging tasks ...

When your AI assistant calculates revenue, bonuses, VAT or financial summaries, it isn’t doing math. It’s telling a convincing story about numbers.

With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.

If mHC scales the way early benchmarks suggest, it could reshape how we think about model capacity, compute budgets and the ...

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...