Predictive modeling compound prioritization has become a central strategy in modern drug discovery, enabling researchers to triage large chemical libraries with increased precision. As compound ...
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Blame the model, not the machine—better data helps 3D-printed metamaterials match predictions
Additive manufacturing, such as 3D printing, provides an excellent opportunity to design metamaterials: materials with an ...
As UK police embrace the AI revolution, a WIRED investigation reveals the messy inside story of one region’s experiment with ...
Sudden death syndrome, or SDS, is an impactful soybean disease. The pathogen that causes SDS, Fusarium virguliforme, lives in ...
Environmental exposures increase risk for cardiometabolic disease, but improved predictive tools combining satellite imaging, ...
This article explains how vulnerability management is changing and what organizations will need to do to adapt.
Industry executives at the ETRetail E-Commerce and Digital Natives Summit 2026 highlight the transformation of platform ...
Learn more About two weeks ago, Advanced Micro Devices announced the acquisition of MEXT, a start-up that has built ...
Learn what Salesforce Agentforce 360 does, how its AI agents work, what it costs, and which businesses should consider or ...
Pre-deployment simulation is a new technique from OpenAI. It can be used to better shape AI-led mental health guidance. An AI ...
Scientists at the University of Chicago are working on AI trained to model weather which could help create better, more ...
While vision and language are key parts of physical AI, physical state recovery will enable robots to interact with the world ...
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