Deep within the source code of this online multiplayer game lies an enigmatic number that puzzles and inspires experts to this day ...

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 ...

"The industry has moved from intuition-driven management to accountable, data-informed execution," said Dr. Ralph Thomas, applied analytics innovator and co-founder of Quick Custom Intelligence. "Book ...

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 ...

When artificial intelligence systems began cracking previously unsolved mathematical problems, the academic world faced an ...

Abstract: This study focuses on an advanced OCR system developed for the automated conversion of handwritten or printed mathematical expressions into LaTeX format. The proposed solution alleviates ...

Large language models struggle to solve research-level math questions. It takes a human to assess just how poorly they ...

Mathematicians finally understand the behavior of an important class of differential equations that describe everything from ...

In biology, many RNA molecules act as sophisticated microscopic machines. Among them, riboswitches function as tiny biological sensors, changing their 3D shape upon binding to a specific metabolite.

One of the fastest-growing vending applications today is in the public health space, with announcements of the deployment of naloxone-dispensing machines appearing in the press nearly every day.

Abstract: Support Vector Machines (SVMs) are powerful supervised learning algorithms that are extensively used for both classification and regression tasks. An important component of SVMs is the ...