Discover how Unsloth and multi-GPU training slash AI model training times while boosting scalability and performance. Learn more on how you ...

A study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported outcomes and wearable sensor data can predict which patients with ...

Catalysts play an indispensable role in modern manufacturing. More than 80% of all manufactured products, from ...

A research team has unveiled a non-destructive, highly accurate approach for determining the optimal timing of embryo rescue ...

Despite large language models (LLMs) possessing extensive world knowledge and strong reasoning capabilities, they are widely regarded as excellent few-shot learners; however, they still exhibit ...

When researchers are building large language models (LLMs), they aim to maximize performance under a particular computational ...

A recent joint study between Linköping University and the Department of Forensic Genetics and Forensic Toxicology of the ...

The meta AI team recently officially launched the MobileLLM-R1 series of efficient inference models, marking a new development stage for small parameter language models. This series includes base ...

Sleep disturbances are a key contributor to agitation. Poor sleep quality, characterized by frequent awakenings, insomnia, and fragmented rest, affects up to half of dementia patients in advanced ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

DeepSeek (DEEPSEEK) revealed that its R1 model was trained at a much lower cost than what U.S. competitors have seen, ...

Understanding machine learning modifies cold atmospheric plasma medicine delivery in cancer treatments without being trained on detailed plasma parameters.