Industries, particularly high tech, may be waiting for the U.S. Supreme Court decision, expected this coming spring, in the Bilski case to decide some fundamental questions of when you can patent ...

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex mathematical problems that underpin scientific and engineering challenges.

Petabytes of data efficiently travels between edge devices and data centers for processing and computing of AI functions. Accurate and optimized hardware implementations of functions offload many ...

The District Court for the Northern District of Ohio dismissed Cybergenetics Corp.’s infringement suit after determining that the asserted claims—which recite mathematical algorithms for analyzing ...

New research shows that advances in technology could help make future supercomputers far more energy efficient. Neuromorphic computers are modeled after the structure of the human brain, and researche ...

The University of Wisconsin Department of Mathematics and UW-iSchool partnered with the University Lectures Committee to host mathematician Cathy O’Neil Tuesday evening at the Fluno Center. O’Neil is ...

(PhysOrg.com) -- IBM Research today unveiled a breakthrough method based on a mathematical algorithm that reduces the computational complexity, costs, and energy usage for analyzing the quality of ...

Among high school students and adults, girls and women are much more likely to use traditional, step-by-step algorithms to ...

Many communication and graphics applications are computation-intensive, yet no one has paid much attention to optimizing the hardware that implements mathematical functions. Traditional implementation ...

There are, generally speaking, two types of people in the mathematical optimization software field: • Optimization solver developers: The technical experts who devise and implement the algorithms that ...