A marriage of formal methods and LLMs seeks to harness the strengths of both.

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

There are many different kinds of reasoning. Some reasoning is by simple association. If you see very dark clouds coming your way, accompanied by lightning and thunder, you will probably conclude that ...

OpenAI on December 16 announced FrontierScience, a new benchmark designed to evaluate artificial intelligence systems on expert-level scientific reasoning across physics, chemistry and biology, as AI ...

Even as concern and skepticism grows over U.S. AI startup OpenAI's buildout strategy and high spending commitments, Chinese open source AI providers are escalating their competition and one has even ...

“The only countries that will really learn more if [U.S. nuclear] testing resumes are Russia and, to a much greater extent, China,” says Jeffrey Lewis, an expert on the geopolitics of nuclear weaponry ...

Around four years ago, now 77-year-old John Gormly went for what was supposed to be a routine blood test. But the results were life-changing. The test suggested Gormly had colon cancer, which a ...

The platform now offers an extensive range of practice tests, covering high-demand assessments including ATI TEAS practice test, Accuplacer practice test, SHL practice test, Saville assessment ...

This expansion addresses the increasing demand from students, job seekers, and professionals across healthcare, higher education, and corporate sectors. The platform is now positioned as a one-stop ...

Google DeepMind is rolling out Gemini 2.5 Deep Think, which, the company says, is its most advanced AI reasoning model, able to answer questions by exploring and considering multiple ideas ...

Apple’s recent AI research paper, “The Illusion of Thinking”, has been making waves for its blunt conclusion: even the most advanced Large Reasoning Models (LRMs) collapse on complex tasks. But not ...

Reinforcement learning (RL) has emerged as a fundamental approach in LLM post-training, utilizing supervision signals from human feedback (RLHF) or verifiable rewards (RLVR). While RLVR shows promise ...