Categories: AI/ML News

Deep Mind’s Student of Games AI system can beat humans at a variety of games

A team of AI researchers from EquiLibre Technologies, Sony AI, Amii and Midjourney, working with Google’s DeepMind project, has developed an AI system called Student of Games (SoG) that is capable of both beating humans at a variety of games and learning to play new ones. In their paper published in the journal Science Advances, the group describes the new system and its capabilities.
AI Generated Robotic Content

Share
Published by
AI Generated Robotic Content
3 years ago

Recent Posts

My first image i created using AI 4 years ago.

I present to you , Brad Pitt as Geralt of Rivia, using Stable Diffusion 2…

8 hours ago

Building a RAG Pipeline with LLM Embeddings and Scikit-learn

In this article, you will learn how to build a lightweight, end-to-end RAG pipeline using…

8 hours ago

Mix, Don’t Tune: Bilingual Pre-Training Outperforms Hyperparameter Search in Data-Constrained Settings

For most languages of the world, language model pre-training operates in a data-constrained regime where…

8 hours ago

Building agents that transact with Anchor Browser and AgentCore payments

AI agents increasingly need to access web resources that are priced per request. For example,…

8 hours ago

Gemini 4 Argon available on Google Cloud, built to help solve your business’ hardest problems

Last week we announced that Gemini Enterprise has evolved to make it even simpler to…

8 hours ago

An OpenAI Employee Allegedly Used a Chatbot to Help Plant a Recording Device at the Office

Chatbot prompts reveal the engineer’s alleged efforts to set up a covert listening device days…

9 hours ago