Complex nonlinear phenomena govern the behavior of physical systems across a remarkable range of scales and disciplines - from wave propagation, fluid ...
Global optimization of nonlinear mixed-integer programming (MINLP) addresses decision problems in which some variables are constrained to take integer values, while the objective function or ...
This position is part of the National Institute of Standards and Technology’s (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may wish to collaborate ...
This position is part of the National Institute of Standards and Technology’s (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may wish to collaborate ...
In the era of A.I. agents, many Silicon Valley programmers are now barely programming. Instead, what they’re doing is deeply, deeply weird. Credit...Illustration by Pablo Delcan and Danielle Del Plato ...
Anthropic opened its virtual "Briefing: Enterprise Agents" event on Tuesday with a provocation. Kate Jensen, the company's head of Americas, told viewers that the hype around enterprise AI agents in ...
It is common to think of time as moving in only one direction – from point A, through point B, to point C. However, many Indigenous peoples – including Māori, the Indigenous people of Aotearoa New ...
Graduate Program in Biotechnology, Federal University of Pará, Belém 66075-110, Brazil Graduate Program in Process Engineering, Federal University of Pará, Belém 66075-110, Brazil Faculty of Chemical ...
Recently, a friend asked me a question that's been floating around every boardroom and business school: "With AI writing code, does programming still matter?" It's a fair question. Generative AI can ...
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To many people, coding is about precision. It’s about telling a computer what to do and having the computer perform those actions exactly, precisely, and repeatedly. With the rise of AI tools like ...
Abstract: This letter presents a kernelized offset-free data-driven predictive control scheme for nonlinear systems. Traditional model-based and data-driven predictive controllers often struggle with ...