BrainAlignNet, AutoCellLabeler, and CellDiscoveryNet—to automatically track and identify neurons in moving worms and jellyfish.

Abstract: With the rapid development of educational technology, it is of great significance to accurately predict students' learning behavior for improving personalized education and learning effect.

SEATTLE--(BUSINESS WIRE)--Carbon Robotics, a worldwide leader in agriculture AI and robotics, today announced a major breakthrough for global agriculture with the launch of the world’s first Large ...

The US Food and Drug Administration (FDA) and the European Medicines Agency (EMA) just issued a joint statement outlining 10 “Guiding Principles” for using artificial intelligence (AI) in drug ...

Abstract: This paper presents a study of the recent generation trench silicon carbide (SiC) MOSFET simulation model behavior analysis for switching characteristics, considering the effect of device ...

In a striking leap toward safer self-driving cars, researchers at Texas A&M University College of Engineering and the Korea Advanced Institute of Science and Technology have unveiled a new artificial ...

Large language models often lie and cheat. We can’t stop that—but we can make them own up. OpenAI is testing another new way to expose the complicated processes at work inside large language models.

How animals may modify their behavior depending on their context has been modeled mathematically by two RIKEN neuroscientists. Their simple but biologically plausible model could shed light on mental ...

Large Language Models (LLMs) have transformed natural language processing, yet two fundamental challenges persist: the computational expense of training and the difficulty of precisely controlling ...

ABSTRACT: As future healthcare providers, medical students are supposed to model and advocate for healthy eating. Recognizing this, the study addresses the paradox of suboptimal dietary habits ...