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Neel Somani on formal methods and the future of machine learning safety
Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...
2 天on MSN
Automating microfluidic chip design: Hybrid approach combines machine learning with fluid ...
Researchers led by Assoc. Prof. Dr. Savaş Taşoğlu from the Department of Mechanical Engineering at Koç University have ...
Calsoft introduced an AI-powered approach to Test Impact Analysis that eliminates unnecessary test executions in CI/CD ...
Discover the best marketing analytics software in 2026. Compare top platforms for data tracking, campaign monitoring, and ...
Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
Keysight Technologies, Inc. today announced the release of the new Machine Learning Toolkit in the latest Keysight Device Modeling Software Suite.
A team of researchers from the University of Chicago's Pritzker School of Molecular Engineering (UChicago PME) has used Quantum Machine Learning (QML) to identify cancer early.
Key opportunities in the Global App Test Automation Market include leveraging AI and machine learning to enhance testing efficiency, advancing cloud-based real device testing solutions, and ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
Learn about the best ERP software available right now, including SAP S/4HANA, Oracle NetSuite ERP, and Microsoft Dynamics 365.
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