The model, trained and tested using anonymized medical data from the UK and Denmark, is able to predict health events over a period of more than ten years.

Abstract: Large language models (LLMs) play a crucial role in intelligent code generation tasks. Most existing work focuses on pretraining or fine-tuning specialized code LLMs, e.g., CodeLlama.

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Abstract: Code generation has gained increasing attention as a task to automate software development by transforming high-level descriptions into executable code. While large language models (LLMs) ...

The MarketWatch News Department was not involved in the creation of this content. Enhanced four-layer ecosystem unifies connectivity, orchestration, enablement, and intelligence to deliver measurable ...

Engineered polymers hold promise for use in next generation technologies such as light-harvesting devices and implantable electronics that interact with the nervous system—but creating polymers with ...

Artificial Intelligence (AI) has moved from basic functions, such as conversation and text generation, to more advanced roles in specialized domains. It is now evolving into systems that can act as ...

Antibiotic resistance has become one of the most pressing threats to global health. Infections once treatable with a simple prescription are becoming harder, sometimes impossible, to cure. Doctors ...

JS Raigei, the fourth Taigei-class diesel-electric submarine with the Japan Maritime Self-Defense Force. Credit: The Japan Maritime Self-Defense Force (JMSDF) A Japanese Defense Ministry panel called ...

Meta FAIR released Code World Model (CWM), a 32-billion-parameter dense decoder-only LLM that injects world modeling into code generation by training on execution traces and long-horizon ...