B, a 3-billion-parameter AI model, is challenging OpenAI, Google and DeepSeek on math and coding benchmarks while reigniting the debate over AI scaling, benchmark gaming and small-model reasoning.

A research team that includes Huawei Technologies says it has successfully used the firm’s Ascend 910C chips to complete post-training for the DeepSeek-V4-Pro model, marking a major step forward as ...

Age-related changes in exercise performance during adolescence are complex because of progressive physical and functional changes, in which multiple factors are involved. The aim of this study is to ...

Deepseek v4 has officially undergone comprehensive testing, revealing both its potential and its limitations. Developed as an open source AI model, it is available in two versions: the ...

DeepSeek is about to make noise again. The company that rattled the AI industry with R1 back in early 2025 is reportedly weeks away from launching V4 — and the specs being discussed are genuinely ...

Joining the ranks of a growing number of smaller, powerful reasoning models is MiroThinker 1.5 from MiroMind, with just 30 billion parameters, compared to the hundreds of billions or trillions used by ...

Model performance was evaluated using metrics such as the area under the curve (AUC), accuracy, specificity, sensitivity, positive predictive value, negative predictive value, and F1-score across ...

Over the past few months, our Machine Learning Foundations team at Microsoft Research has released a suite of small language models (SLMs) called “Phi” that achieve remarkable performance on a variety ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Fossil fuel consumption for meeting energy needs has led to ...

Engineering machinery is characterized by high load frequency, large amplitude, and long continuous working time, which requires high anti-loosening performance of bolts. In this paper, based on ...

This repository contains the code to train and evaluate Graph HyperNetworks (GHNs). This repository also contains the DeepNets-1M dataset of neural architectures proposed in our paper to train and ...