Across workplaces and research labs, 2025 delivered a cluster of discoveries that quietly rewired what we think we “know” ...

A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...

It may now be the most famous – or infamous – sign in the country. Posted above a door on Nicollet Avenue in Minneapolis, the ...

An expert Q&A on the legal, ethical, and practical considerations and emerging issues regarding judicial use of AI, including ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

As artificial intelligence adoption accelerates, supply chain leaders are confronting an unexpected constraint: electricity.

Quantum computing has moved from physics labs into boardroom slide decks, promising to crack problems that leave even the ...

Abstract: Inverse reinforcement learning optimal control is under the framework of learner–expert, the learner system can learn expert system's trajectory and optimal control policy via a ...

Under chef and co-owner Kelly Mencin’s leadership, Radio Bakery has become one of New York City’s most talked-about ...

AI companies such as OpenAI and Anthropic have long focused on building tools that can write code that will speed up software ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

A new theoretical framework argues that the long-standing split between computational functionalism and biological naturalism misses how real brains actually compute.