Isomorphic Lab’s proprietary drug-discovery model is a major advance, but scientists developing open-source tools are left ...
Morning Overview on MSN
Scientists grew mini brains and trained them to crack an engineering problem
Researchers at the University of California, Santa Cruz have trained lab-grown brain organoids to solve a goal-directed task, ...
The evolution of AI-powered vehicle inspection has moved rapidly from experimental research to an essential pillar of the modern automotive ecosystem. Historically, vehicle checks were manual and ...
The March 2026 issue of NEJM Catalyst Innovations in Care Delivery is a special theme issue on the hard work of implementing artificial intelligence in real-world ...
To prevent algorithmic bias, the authors call for multivariable modeling frameworks that jointly incorporate biological sex, genetic ancestry, and gender-related life-course exposures.
Explore how machine learning in insurance enhances risk assessment, fraud detection, and personalization. ✓ Subscribe for ...
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
Abstract: Reliable uncertainty estimation has become a crucial requirement for the industrial deployment of deep learning algorithms, particularly in high-risk applications such as autonomous driving ...
Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...
Abstract: Learning to optimize and automated algorithm design are attracting increasing attention, but it is still in its infancy in constrained multiobjective optimization evolutionary algorithms ...
The Justice Department had accused the real estate software company of enabling landlords to charge tenants more than free-market rates. By David McCabe The Justice Department said on Monday that it ...
The workflow encompasses patient datacollection and screening, univariate regression analysis for initial variable selection, systematic comparison of 91 machine learning models,selection and ...
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