Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

Why do people make the choices they do? Researchers from the Center Synergy of Systems (SynoSys) at TUD Dresden University of Technology, the Max Planck Institute for Human Development, and the ...

A new Quantum Monte Carlo algorithm in Physical Review Letters marks a significant step forward in the quest to build ...

Over the past decade, Professor L. Mahadevan's Soft Math Lab at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) has helped establish how the ancient Japanese paper arts ...

Introduction Never before in human history has a small minority wielded this degree of control over the lives of the majority with such speed and such ...

Abstract: The net present value (NPV)-based resource constrained project scheduling problem (RCPSP) is a well-known scheduling problem in many industries, such as construction, software development, ...

A new quantum-inspired algorithm has cracked a problem so massive that conventional supercomputers struggle to even approach it. Researchers used the method to simulate extraordinarily complex quantum ...

We live in a world saturated with digital graphics. Pixels dominate our screens. Every logo is perfectly uniform, smoothed ...

Nvidia CEO Jensen Huang's direct reports don't have to worry about one-on-one meetings with the big boss. Huang spoke to podcaster Lex Fridman in an episode published Monday about the way he leads one ...

Google’s AI R&D lab DeepMind says it has developed a new AI system to tackle problems with “machine-gradable” solutions. In experiments, the system, called AlphaEvolve, could help optimize some of the ...

A key question in artificial intelligence is how often models go beyond just regurgitating and remixing what they have learned and produce truly novel ideas or insights. A new project from Google ...