Benchmarks drive many areas of research forward, and this is indeed the case for two areas of research that I engage with: ...

For the first time, large language models performed on a par with gold medallists in the International Mathematical Olympiad.

Mixture-of-Recursions (MoR) is a new AI architecture that promises to cut LLM inference costs and memory use without ...

A research team led by Prof. Yang Yuchao from the School of Electronic and Computer Engineering at Peking University Shenzhen Graduate School has achieved a global breakthrough by developing the first ...

Anthropic research reveals AI models perform worse with extended reasoning time, challenging industry assumptions about test-time compute scaling in enterprise deployments.

Researchers unveil a new Python-based assertion verification framework for agile hardware design, enabling real-time error detection with minimal ...

Discover the ultimate roadmap to mastering machine learning skills in 2025. Learn Python, deep learning, and more to boost ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

Rats exhibit significant recovery of locomotor function following incomplete spinal cord injuries, albeit with altered gait expression and reduced speed and stepping frequency. These changes likely ...

Describe the solution you'd like I would like to be possible to include parallel workflow agent using a live model. Describe alternatives you've considered I consider run the parallelism properly ...

The process involves real-time fault collection, analysis, spare allocation, and solution decision process dynamically during the memory test. Experimental results demonstrate that the performance of ...