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

Context parallelism (CP) for distributed inference and training for biomolecular folding models across multiple GPUs using a 2D CP mesh combined with data parallelism, demonstrated with the Boltz ...

Embodied AI world models drew $6 billion in Q1 2026 alone, but new analysis from Fusion Fund investors argues the LLM scaling ...

China’s Meituan open-sources massive LongCat-2.0 AI model, saying it was trained on domestic chips - SiliconANGLE ...

Abstract: Distributed data-parallel training (DDP) is prevalent in large-scale deep learning. To increase the training throughput and scalability, high-performance collective communication methods ...

When using parallel, please include the following: Vega Yon GG, Quistorff B. parallel: A command for parallel computing. The Stata Journal. 2019;19(3):667-684. doi:10 ...

Nourish, the country's largest dietitian-led metabolic health clinic, today announced the Nourish Clinical Outcomes Model: an integrated model across care delivery, product, and data focused on the ...

Abstract: In the past few years, deep learning (DL) techniques for predicting remaining useful life (RUL) have shown remarkable advancements, but model prediction accuracy and generalization to ...

Transaction Data Across Xsolla's Publisher Network Shows D2C On PC Operating At Scale Across More Than 1,000 Games, An ...

With the launch of its AI Data Plane, the company is betting that the real bottleneck for “agentic” AI isn’t the model — it’s ...

WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ('WIMI' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, has completed systematic benchmark testing on fully ...

The LLM aims to keep sensitive data within a secure, closed environment and away from public platforms.