Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

AI bots told to act as trading agents in simulated markets engaged in pervasive collusion, raising new questions about how financial regulators have previously addressed this tech.

According to Sawyer Merritt on Twitter, Elon Musk announced that Tesla's Full Self-Driving (FSD) Unsupervised system is 'pretty much solved at this point,' with robotaxis set to launch in Austin, ...

The proposed industrial anomaly detection model is computationally efficient, memory-friendly, and also suitable for low-light conditions, common in manufacturing environments, making it well-suited ...

ABSTRACT: The rapid advancements in large language models (LLMs) have led to an exponential increase in survey papers, making it challenging to systematically track and analyze their evolving taxonomy ...

Unleashing a more efficient approach to fine-tuning reasoning in large language models, recent work by researchers at Tencent AI Lab and The Chinese University of Hong Kong introduces Unsupervised ...

ABSTRACT: Learner autonomy stands on the top priorities of scholars due to its pivotal role in fostering student-centered learning methods. It empowers the learners to be in charge of their learning ...

Objective: We aimed to explore the application value of unsupervised machine learning in identifying acute gastrointestinal injury (AGI) after extracorporeal circulation for acute type A aortic ...