News
Leaders should rethink learning strategies, embed computational thinking into decision frameworks and redesign leadership ...
Anthropic research reveals AI models perform worse with extended reasoning time, challenging industry assumptions about test-time compute scaling in enterprise deployments.
Researchers at the University of Kentucky are teaming up with researchers at Michigan State University (MSU) to develop cutting-edge simulations of ...
Traditional audits of mobile apps typically involve conducting a review their source code. 11,27 Such processes, however, do ...
Despite natural evidence indicating sulfur's importance and efficiency as a catalyst for critical redox reactions, including ...
8h
Tech Xplore on MSNImproving AI models: Automated tool detects silent errors in deep learning trainingTrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, ...
Learn how to build your own GPT-style AI model with this step-by-step guide. Demystify large language models and unlock their ...
The major LLMs today are legal landmines, providing no visibility into training data that may violate copyrights, patents, ...
The study offers five actionable insights for humanitarian organizations seeking to adopt AI tools. First, deep problem ...
Discover Kimi K2, the open-source AI model with one trillion parameters, redefining innovation and accessibility in ...
In a study published in PNAS Nexus, researchers from Lawrence Livermore National Laboratory (LLNL) described a new deep ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results