In 2026, tech leaders are learning a painful lesson: the problem with scaling AI adoption isn't understanding the algorithm, ...

Developed by Professor Sanjay Mehrotra, the Sliding Scale AdaptiVe Expedited (SAVE) algorithm could improve organ allocation ...

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...

In the span of a few years, custom algorithms have gone from nonexistent to a necessity for many media buyers. Custom algorithm company 59A, for instance, has clients who have used its algorithms for ...

Abstract: Aiming at the problem that the bit error rate (BER) performance degrades due to the multi-dimensional complex data for generalized space-frequency with IM ...

New 100 mg/dL Target Glucose setting offers more customization and tighter glucose management. Enhanced algorithm helps users remain in Automated Mode to improve the user experience. Most requested ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

It is not easy to make collective sense of democracy in America at this moment. On the one hand, many of the institutions that have long anchored our system of ordered liberty remain in place, e.g., ...

The exhibition blends art, research, and technology to examine how artificial intelligence can both preserve and endanger cultural heritage. Curated by Ara and Anahid Oshagan and Monica Hye Yeon Jun, ...

Houston has been tied to human spaceflight for decades. Now, the city’s companies are chasing something that’s less romantic but more lucrative: harnessing the flood of data collected in space.

Markov chains are a powerful tool for modeling systems in various scientific domains, including queueing theory. These models are characterized by their ability to maintain complexity at a low level ...