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Researchers used generative AI to develop a physics-informed technique to classify phase transitions in materials or physical systems that is much more efficient than existing machine-learning approaches. The work was led by researchers at MIT and the University of Basel.
MIT researchers propose a "physics-enhanced deep-surrogate" (PEDS) method for developing data-driven surrogate models for complex physical systems in such fields as mechanics, optics, thermal transport, fluid dynamics, physical chemistry, and climate modeling.
For Stack Overflow's annual survey, "Over 73,000 developers from 180 countries each spent roughly 15 minutes answering our questions," a blog post announces: The top five languages for professional developers haven't changed: JavaScript is still the most used, and Rust is the most loved for a sevent...
It should come as no surprise to those following the growth and expansion of the Julia Programming Language ecosystem that in this year’s Stack Overflow developer survey, Julia ranked in the top 5…