Improved short-term sea level change predictions achieved with better AI training

Sea level can temporarily change for a variety of reasons—atmospheric pressure shifts and water accumulation from wind and storms, for example—which can cause flooding in coastal communities and ...
VentureBeat

Nvidia researchers boost LLMs reasoning skills by getting them to 'think' during pre-training

Researchers at Nvidia have developed a new technique that flips the script on how large language models (LLMs) learn to reason. The method, called reinforcement learning pre-training (RLP), integrates ...
WinBuzzer

Nvidia DreamDojo: Open-Source World Model for Robots

Nvidia has released DreamDojo, an open-source world model trained on 44,000 hours of human video that lets robots learn ...
InfoWorld

Multi-token prediction technique triples LLM inference speed without auxiliary draft models

With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.
The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
EurekAlert!

Are state-of-the-art deep learning traffic prediction models truly effective?

All of the baseline models achieve excellent performance in predicting high speed while performing extremely poorly in predicting lower ones. Specifically, even if the prediction horizon is 60 mins, a ...