A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

The Perspective by Tiwary et al. (8) offers a comprehensive overview of generative AI methods in computational chemistry. Approaches that generate new outputs (e.g., inferring phase transitions) by ...

Department of Guilin Medical University, Guilin, Guangxi Zhuang Autonomous Region, China Introduction: This study investigated the integration of Course-based Ideological and Political Education (CIPE ...

A new Stanford University study suggests that the number of entry-level programming jobs in the U.S. has declined significantly since the launch of ChatGPT. The paper was published today by three ...

Stanford University front entrance. Linda A. Cicero/Stanford News Service Stanford Graduate School of Business, long considered among the most elite MBA programs in the world, is facing a storm of ...

Summer is going swimmingly in Stanford with swim lessons underway at the Stanford Pool. They began on July 7 and will conclude on July 18. Pool Manager Sandra Bossen and her team of lifeguards are ...

If you’ve been meaning to level up your AI and machine learning skills, now’s a good time to dive in. This data science and machine learning bundle is currently available for just $39.99 (reg. $280), ...

STANFORD, California, USA, 24 June 2025 – In a comprehensive Genomic Press interview, Stanford University researcher Eric Sun reveals how machine learning is revolutionizing our understanding of brain ...

“To maximize the likelihood that applications and patents will be found eligible under Section 101 by the USPTO and courts [after Recentive], applicants should carefully craft a narrative of a ...

Abstract: In the past decade, there has been a significant increase in the growth of the global technology employment market, primarily owing to the digital age, artificial intelligence expansion, ...

Machine learning engineering (MLE) involves developing, tuning, and deploying machine learning systems that require iterative experimentation, model optimization, and robust handling of data pipelines ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. There is a need for design strategies that can support rapid and widespread deployment ...