Mathematical optimization is built for exploring unique and developing scenarios we've never seen before, to strengthen adaptability, efficiency, and nimbleness of businesses.
MIT engineers use heat-conducting silicon microstructures to perform matrix multiplication with >99% accuracy hinting at ...
Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and brand-new LLM-based hybrids, revealing that hybrids give best-in-class routes ...
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Tiny silicon structures compute with heat, achieving 99% accurate matrix multiplication
MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat ...
Optilogic, a leader in supply chain network design, and ORTEC, a global leader in supply chain optimization and logistics planning, ...
Drone technology is poised for remarkable progress across multiple domains, with next-generation systems set to transform ...
Google's Genie generates infinite interactive worlds from text. The secret? AI models compress reality's rules into transferable principles, enabling boundless creation.
Leveraging LLMs to Integrate Expert Knowledge into Algorithmic Planning,” presented at the 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026), introduces a hybrid ...
A novel AI method inspired by the Sabarimala Yatra enhances problem-solving in science and medicine. Discover its ...
Engineers at the University of Pennsylvania have discovered that foams — from soap suds to food emulsions — are not static, as long assumed, but instead continuously reorganize themselves in ways that ...
Foams were once thought to behave like glass, with bubbles frozen in place at the microscopic level. But new simulations reveal that foam bubbles are always shifting, even while the foam keeps its ...
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