At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Objectives To explore the levels of health-related functioning during pregnancy and postpartum and its association with non-severe maternal morbidities. Design An observational longitudinal study.

While we may have gotten away with high-volume, high-intensity training and minimal recovery in our twenties, we lose some of that flexibility as time goes on. Gone are the days when we could down a ...

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

Over the years, I have conditioned myself to only be able to focus in 25-minute increments, a timer counting down in my peripheral. The five-minute break following? It’s like a reward. It is now ...

It was a big sample group. The researchers examined nearly 20,000 employees at UC San Diego Health. People who got cybersecurity training were compared to those who got none. Some people with training ...

Artificial intelligence data annotation startup Encord, officially known as Cord Technologies Inc., wants to break down barriers to training multimodal AI models. To do that, it has just released what ...

In the current climate, generic and expensive programs to promote diversity, equity, and inclusion—for example, trainings—are increasingly falling out of favor. In fact, most of the existing research ...

This is read by an automated voice. Please report any issues or inconsistencies here. A walking method developed in Japan is gaining worldwide attention as a low-impact but powerful way to improve ...

Hi, authors! Thanks for your good work! I'm trying to add different datasets during training. I have already trained one version which is r2r:rxr:human:scanqa=1:1:1:1. This version did not show well ...

This blog post is the second in our Neural Super Sampling (NSS) series. The post explores why we introduced NSS and explains its architecture, training, and inference components. In August 2025, we ...