Running a single physics simulation can take hours or days, depending on the complexity of the geometry and the equations ...

Security professionals can recognize the presence of drift (or its potential) in several ways. Accuracy, precision, and ...

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...

The company’s Claude Mythos Preview model is remarkably good at harming or hijacking other systems. Anthropic’s first ...

Researchers at The University of Osaka have developed and evaluated a new eight-week training program that enables psychology ...

Fleets have more driver data than ever, so why isn't behavior changing? Training requires more than reports and coaching — it requires real-world practice.

In many production pipelines, RLHF (reinforcement learning from human feedback) is used as a structured governance mechanism that converts expert judgments into reward signals used to refine model ...

As LLM scaling hits diminishing returns, the next frontier of advantage is the institutionalization of proprietary logic.

Cognitive warfare is less about controlling territory and more about shaping perception. The objective is to gain an information advantage that translates into a decision advantage, influencing how ...

This study aimed to evaluate a multidisciplinary rehabilitation program based on the information–motivation–behavioral skills (IMB) model principles and its association with self-efficacy, functional ...

In this post, we share the motivations, design choices, experiments, and learnings that informed its development, as well as an evaluation of the model’s performance and guidance on how to use it. Our ...

Downtown trainers report rising noise reactivity and crowd-related behavioral issues as billion-dollar MAPS 4 projects reshape blocks surrounding the facility ...