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The evolution of AI in the enterprise scope is rapidly shifting from reactive interfaces to proactive, goal-driven systems. What began as simple rule-based chatbots has now progressed toward autonomous agents—AI systems capable of making complex decisions, coordinating tasks, and adapting to changing environments with minimal human intervention. This paradigm shift, encapsulated in the transition from

One of the first industry-led Sandboxes which supports the safe and strategic deployment of GenAI at scale through guided risk management and operational rigor Following the successful launch of GenGuardX, its flagship GenAI governance platform, Corridor Platforms, in partnership with Oliver Wyman and Google Cloud, is launching a Responsible AI Sandbox designed to help enterprises turn GenAI experiments

References Edwards, A. M. et al. Too many roads not taken. Nature 470, 163–165 (2011). CAS  PubMed  Google Scholar  Moustakim, M. et al. Target identification using chemical probes. Methods Enzymol. 610, 27–58 (2018). CAS  PubMed  Google Scholar  Bond, M. J. & Crews, C. M. Proteolysis targeting chimeras (PROTACs) come of age: entering the third decade

New AI-driven research reveals how advanced machine learning models not only confirm known Alzheimer’s genes but also spot six new risk variants. Study: Machine learning in Alzheimer’s disease genetics. Image credit: Kateryna Kon/Shutterstock.com Statistical tools are essential in unpacking the genetic basis of complex medical conditions. Not much advance has occurred beyond linear additive models; however, a

AveriSource announces availability of AI-Powered Modernization Platform in the new AWS Marketplace AI Agents and Tools category AveriSource, an artificial intelligence (AI) Powered Hybrid Modernization company, announced the availability of the AveriSource Platform™ for mainframe and midrange modernization in the new AI Agents and Tools category of AWS Marketplace. Customers can now use AWS Marketplace