Large language models struggle to solve research-level math questions. It takes a human to assess just how poorly they ...

Chain-of-Thought (CoT) prompting has enhanced the performance of Large Language Models (LLMs) across various reasoning tasks.

Mathematicians finally understand the behavior of an important class of differential equations that describe everything from ...

We've all heard the best approach to solve a problem is to "sleep on it." It turns out there may be more truth to this adage ...

Abstract: Mixed Integer Linear Programs (MILPs) are powerful tools for modeling and solving combinatorial optimization problems. Solving an MILP is NP-hard due to the integrality requirement, and the ...

For the last few years, the global supply chain has felt like it’s permanently on edge. One delay turns into another. A ...

The biggest issue for electric anything is range, but Stark Futures is teaming up with Wanxiang A123 to build the next ...

Space enthusiasts Mike Tripodi and Greg Pitonza, both from upstate New York, traveled through the area, including ...

GM is addressing widespread telematics module failures affecting infotainment, OnStar, and Super Cruise, as owners report ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

DeepMind COO Lila Ibrahim discusses building powerful AI with care, ethics and a long-term focus on human impact.

Cognitive Diagnosis (CD) plays a crucial role in personalized learning by evaluating students' mastery of various concepts. However, current CD models face a significant challenge—the "student-concept ...