Isotopes AI came out of stealth on Thursday with a healthy $20 million seed round. It offers an AI agent to solve a problem that data analytics products have struggled with for decades: The people who ...

Sustainability: News about the rapidly growing climate tech sector and other areas of innovation to protect our planet. SEE MORE by Lisa Stiffler on Sep 4, 2025 at 8:12 am September 5, 2025 at 9:00 am ...

CAMBRIDGE, U.K. – A small Microsoft Research team had lofty goals when it set out four years ago to create an analog optical computer that would use light as a medium for solving complex problems.

Imagine having a personal assistant that not only understands your words but also anticipates your needs, whether it’s drafting a flawless report, debugging complex code, or even generating stunning ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Introduction: The Portfolio Optimization Process Needs to Be Revamped. For decades, portfolio optimization has been the pinnacle of modern finance. In the 1950s, with the introduction of Harry ...

Australia to recognize Palestinian statehood, Cambodia nominates Trump for Nobel Peace Prize, and more Length: Long Speed: 1.0x The busy box that is your brain is hard at work all day long—and it ...

Committing turnovers has been a recurring issue for the Ravens in the playoffs in recent years. It's especially frustrating because they are one of the best teams at limiting turnovers during the ...

See the world through the lens of science. Sign up for our free, daily newsletter Today in Science. As a child of the 1990s, I couldn’t avoid the game-turned-best-seller Tetris. Launched in 1984 by ...

OpenAI said it, too, had built a system that achieved similar results. By Cade Metz Reporting from San Francisco An artificial intelligence system built by Google DeepMind, the tech giant’s primary ...

Abstract: In this work, we focus on solving non-smooth non-convex maximization problems in multi-group multicast transmission. By leveraging Karush-Kuhn-Tucker (KKT) optimality conditions, we ...