Talking to yourself feels deeply human. Inner speech helps you plan, reflect, and solve problems without saying a word. New research suggests that this habit may also help machines learn more like you ...

The new Forward AI capability builds on the vendor's digital twin and is designed to allow network teams to ask complex questions, understand network behavior, validate outcomes and safely automate ...

Microsoft launched Rho-alpha in late January 2026, a robot model that uses vision, language, and touch sensors for two-armed tasks.

A consortium led by SK Telecom has built a sovereign AI model designed to reduce reliance on foreign tech, lower costs for local industry, and propel South Korea into the top ranks of AI powers ...

Moonshot AI’s Kimi K2.5 Reddit AMA revealed why the powerful open-weight model is hard to run, plus new details on agent ...

Knowing how to talk to AI" is no longer enough. To stay relevant, developers and workers must master the systematic ...

The traditional approach to artificial intelligence development relies on discrete training cycles. Engineers feed models vast datasets, let them learn, then freeze the parameters and deploy the ...

In this paper, we present VerifyBench, a benchmark specifically designed to evaluate the accuracy of reference-based reward systems. To create VerifyBench, we curated a diverse collection of ...

In this example, we demonstrate how to model power electronics devices that perform current control using MathWorks products, focusing on: The modeling style introduced in this example is not a ...

Predicting performance for large-scale industrial systems—like Google’s Borg compute clusters—has traditionally required extensive domain-specific feature engineering and tabular data representations, ...