These new models are specially trained to recognize when an LLM is potentially going off the rails. If they don’t like how an interaction is going, they have the power to stop it. Of course, every ...

All the benefits of plugins with none of the downsides.

Meta is creating a new applied AI engineering organization to accelerate its superintelligence strategy and scale AI model development.

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models ...

By combining military-grade terrain analysis, automation, & real-time visualization, we’re empowering clients to ...

Purpose is to easily be able to experiment and better understand what is happening currently and what might happen in the near future. What I learned: Activating containment measures early can save ...

In this work we present two main contributions: the first one is a Python implementation of the discrete approximation of the Laplace-Beltrami operator (LBO) (Belkin et al., 2008) allowing us to solve ...

If you've been planning to step up your data science game for the new year, the 2026 NPTEL course lineup from India's top IITs is honestly a goldmine. These courses cover the backbone of modern ...

Microsoft has added official Python support to Aspire 13, expanding the platform beyond .NET and JavaScript for building and running distributed apps. Documented today in a Microsoft DevBlogs post, ...

RynnVLA-002 is an autoregressive action world model that unifies action and image understanding and generation. RynnVLA-002 intergrates Vision-Language-Action (VLA) model (action model) and world ...