LearnVector rolled out a one‑to‑one tutoring service built on Andrew Ng’s latest AI models. The move signals a shift from broad‑stroke language models to narrowly tuned teaching agents.

The service lives at learnvector.ai and advertises adaptive lesson plans that react to a learner’s pace and mistakes. Ng’s team describes the product as a “learning experience” rather than a generic chatbot, emphasizi…

NERO 2.0 Expands the Playground for Evolving Agents

The University of Texas at Austin’s Neural Networks Group released version 2.0 of NERO, a game‑based platform that lets users evolve robot armies with the rtNEAT algorithm. The update adds a “territory capture” mode, …