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Tech Xplore on MSNAI-driven framework creates defect-tolerant metamaterials with complex functionality
Many industrial products—from car bumpers to aerospace panels and medical implants—owe their performance to lightweight, cellular materials. These hard-working synthetics are engineered to meet ...
Science Featured on MSN23h
AI Models Keep Getting Physics Wrong but This Method Fixes It
Understanding and predicting complex physical systems remain significant challenges in scientific research and engineering. Machine learning models, while powerful, often fail to follow the ...
A research team from the Ningbo Institute of Materials Technology and Engineering (NIMTE) of the Chinese Academy of Sciences ...
New BeyondTrust research shows statistical models outperform heuristics in detecting Kerberoasting attacks. Better accuracy, ...
Researchers from Salesforce unveiled MCPEval, a new method to evaluate AI agent performance and tool use within MCP servers.
Researchers from Sun Yat-sen University’s Shenzhen Campus, led by WenYuan Yang and Gege Jianga, have developed a decentralized federated learning framework, DFUN-KDF, to enhance UAV network efficiency ...
This study proposes a comprehensive strategy to optimize the operation of real-world gas pipeline networks and support decision-making. The goal is to improve environmental sustainability by ...
Discover the differences between sales methodology and the sales process. Learn how understanding both can drive sales success and optimize performance.
Apple is launching what it calls the Foundation Models framework, which the company says will enable developers to tap into its AI models in an offline, on-device fashion.
We can, however, grasp where technology might take us over the next decade. We predict that plant decision-making and modeling will be based on “controllable AI models,” LLMs and human domain experts, ...
Subsequently, a decoupled model solver is derived in a closed-form solution, which process effectively partitions the data into the MIQ-related stationary subspace and nonstationary residual. For the ...
The Hiroshima AI Process (HAIP) is a framework for organizations developing advanced AI systems to align with the G7 AI Code of Conduct.
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