AI Why the AI drug revolution hasn’t delivered Speed, safety, and smarter molecules haven’t translated into better medicines. Researchers say the real breakthrough will come from rethinking what we ask AI to do Latest Content atNorth confirms 300MW site in Sollefteå, Sweden Ayar Labs names Sankara Venkateswaran as Vice President of Engineering Viridien announces strategic initiative to advance HPC for seismic imaging workflows with Nvidia New technologies Albert Invent Raises $7.5 Million to accelerate laboratory science using AI AI engineering assisstant released to cosnsumers Cloud partnership aimns to launch GenAI capabilities White papers AI-driven Laboratories: Navigating Challenges and Embracing the Future This White Paper from Thermo Fisher Scientific explores the integration of AI in laboratory environments, addressing persistent obstacles and outlining a clear path toward the laboratory of the future Standardization of Analytical Data: Best Practices Standardization is critical to extracting the full potential of data. This White Paper offers a comprehensive guide to overcoming challenges and driving progress in analytical chemistry and beyond. Streamline laboratory operations with SaaS LIMS Reduce the burden of software management and empower scientists to focus on their research. Webcasts On Demand: Free Online Panel Discussion | LIMS innovation boosts precision and security Energy-efficient infrastructure for HPC workloads - FREE live webinar More content Australian space agency deploys AI supercomputer Intel demonstrates fully integrated optical I/O chiplet Call to acquire a new European supercomputer in Greece Ansys enables 3D Multiphysics visualisation with Nvidia Omniverse CEA-Leti announces launch of FAMES Pilot Line as part of EU Chips Act Initiative How to strike a balance between digitalised data for machine learning and human use AI supports a breakthrough in ALS research Sandia evaluates immersion cooling EuroHPC announces plans to build a supercomputer in Sweden BCS launches the International Trillion Parameter Consortium in Barcelona MLPerf training results demonstrates scaling and software improvements for Nvidia GPUs Researchers harness AI to influence materials synthesis Pagination Previous page ‹ Previous Page 24 Next page Next ›
