Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...
ICML 2026 opens in Seoul on July 6 with a record 23,918 submissions — more than double last year — and a research program ...
Crystal Carter and Jen Cornwell tackled AI search from opposite angles at SMX Advanced. Together, they reveal why most ...
Last month, OpenAI announced that its latest version of ChatGPT had solved a major math problem, one that had stumped experts ...
Microsoft's SkillOpt brings deep-learning discipline to AI agent skills, replacing manual prompt tweaking with mathematically validated text optimization.
The new framework from the General Services Administration pulls together internal lessons on process improvement and automation, with officials now looking to scale adoption across government through ...
Abstract: A wider selection of step sizes is explored for the distributed subgradient algorithm for multigent optimization problems with time-varying and balanced communication topologies. The square ...
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A logistics company uses AI to reduce its delivery routes by half and save time on package sorting
Net Zero Logistics uses AI tool Finmile to enhance delivery efficiency, cutting costs and optimizing routes with real-time data tracking.
Abstract: In expensive multitask optimization problems (ExMTOPs), multiple complex tasks must be optimized simultaneously under limited computational budgets. Existing approaches, often based on ...
Good electrochemical energy storage (EES) devices such as rechargeable batteries and supercapacitors can store a lot of energy and release it quickly, but these design goals are often at odds with ...
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