DeepSeek Unveils New AI Reasoning Technique

DeepSeek introduces a breakthrough in Artificial Intelligence reasoning with its innovative reward modeling approach.

DeepSeek has announced a new technique in artificial intelligence reasoning, utilizing a method known as reward modeling. This approach aims to guide large language models (LLMs) towards aligning with human preferences more effectively.

The company´s latest models, known as DeepSeek-GRM, have successfully integrated this reward modeling, enhancing the models´ abilities to understand and replicate human-like decision-making processes. This development marked a significant step forward in AI research, promising more intuitive and human-aligned AI interactions.

Experts believe this advancement could set a new standard in AI development, offering potential applications in various fields that rely on human-AI collaboration. DeepSeek´s approach could pave the way for more adaptable and responsive AI systems, reshaping how artificial intelligence interfaces with human-driven processes.

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New test generates an immune health score

Researchers at Yale University created an immune health metric by profiling blood cells, gene expression, and more than 1,300 proteins, then using machine learning to correlate those signals with health. The experimental test aligned with responses to disease and vaccines but is not ready for clinical use.

How muscles remember movement and exercise

Research shows skeletal muscle stores a lasting epigenetic memory of both training and atrophy, shaping how quickly we regain strength or lose it, and that exercise can help reset negative imprints.

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