Like the rest of its Big Tech cadre, Google has spent lavishly on developing generative AI models. Google’s AI can clean up your text messages and summarize the web, but the company is constantly ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Quadratically constrained quadratic programming (QCQP) problems appear in a wide range of engineering fields, including computer science, communication engineering, and finance. A key difficulty in ...

There’s a curious contradiction at the heart of today’s most capable AI models that purport to “reason”: They can solve routine math problems with accuracy, yet when faced with formulating deeper ...

Abstract: Loopwise route representation (LRR), which has been recently proposed as an alternative network representation, can determine the optimal path for the vehicle routing problems with a simpler ...

The artificial intelligence start-up said the new system, OpenAI o3, outperformed leading A.I. technologies on tests that rate skills in math, science, coding and logic. By Cade Metz Reporting from ...

Since the open-pit precedence-constrained production scheduling problem is an NP-hard problem, solving it is always a challenging task, especially from a long-term perspective because a mineral ...

Nvidia CEO Jensen Huang caused a stir when he declared recently that kids no longer need to learn to code - AI will do that for us. “Over the last 10-15 years, almost everybody who sits on a stage ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. For the longest time, we’ve heard and accepted the left-brain-right-brain theory. Most of us ...

Linear programming is an optimization technique used to find the optimal solution of a system of linear equations. It is widely agreed that the development of linear programming has been ranked among ...