Microsoft's Phi-4-reasoning-vision-15B uses careful data curation and selective reasoning to compete with models trained on ...
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An AI-informed model of human reward-based learning: Hybrid approach could aid studies of ...
People's decisions are known to be influenced by past experiences, including the outcomes of earlier choices. For over a century, psychologists have been trying to shed light on the processes ...
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Improving AI models' ability to explain their predictions
In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...
Ten AI concepts to know in 2026, including LLM tokens, context windows, agents, RAG, and MCP, for building reliable AI apps.
High-quality DNA and protein datasets empower artificial intelligence (AI) models to accelerate biologics discovery, refinement, and development.
Artificial intelligence (AI) is transforming the way scientists discover and design new materials. In a specially invited review published in Angewandte Chemie International Edition, Tohoku University ...
In order to survive in the age of AI, organizations should consider switching their focus to value-generation output and pivoting accordingly.
University of Warwick research warns that popular deep learning systems trained for cancer pathology may be relying on hidden ...
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