Historian Philip Decker, mathematician Victor Geadah, computer scientist Sayash Kapoor, and literary scholar Eliana Rozinov are this year’s Porter Ogden Jacobus Fellows.
ZME Science on MSN
Computer chips designed like biological brains can finally handle massive math problems without guzzling energy like a normal supercomputer
When you swing a tennis racket or catch a set of keys, you aren’t thinking about wind resistance or gravity. Yet, to perform that motion, your brain is solving a massive physics problem in ...
Industrial yeasts are a powerhouse of protein production, used to manufacture vaccines, biopharmaceuticals, and other useful compounds.
In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...
Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...
The icy ballet of stone upon ice makes curling one of the most intriguing sports of the Winter Olympics. But scientists still haven't quite figured out the physics of how they move.
Digital Camera World on MSN
Voigtländer: The family name behind generations of cameras and lenses
Three generations of the Voigtländer family built one of Germany’s leading makers of cameras and lenses, with its origins dating back to the 19th century ...
Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...
Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
Abstract: Accurate motion control in the face of disturbances within complex environments remains a major challenge in robotics. Classical model-based approaches often struggle with nonlinearities and ...
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