Morning Overview on MSN

Different AI models are converging on how they encode reality

Artificial intelligence systems that look nothing alike on the surface are starting to behave as if they share a common ...

AI Models Are Starting to Learn by Asking Themselves Questions

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...
IEEE

A Real-Time Intelligent System Based on Machine-Learning Methods for Improving Communication in Sign Language

Abstract: In this article, we introduce a cost-effective and real-time intelligent system tailored to Pakistan sign language (PSL) recognition, aimed at facilitating communication for hearing-impaired ...

Meta’s Vision-Language Shift VL-JEPA Beats Bulky LLMs

VL-JEPA predicts meaning in embeddings, not words, combining visual inputs with eight Llama 3.2 layers to give faster answers ...

New ‘Test-Time Training’ method lets AI keep learning without exploding inference costs

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...
IEEE

Data-Driven Optimal Output Regulation for Continuous-Time Linear Systems via Internal Model Principle

Abstract: The data-driven techniques have been developed to deal with the output regulation problem of unknown linear systems by various approaches. In this article, we first extend an existing result ...