How the DeepSeek-R1 AI model was taught to teach itself to reason | Explained

DeepSeek-R1 uses reinforcement learning to teach reasoning, showing potential for AI to develop intelligence without human ...

Tencent’s new AI technique teaches language models ‘parallel thinking’

The Parallel-R1 framework uses reinforcement learning to teach models how to explore multiple reasoning paths at once, ...
Tech Xplore on MSN

Using generative AI to diversify virtual training grounds for robots

Chatbots like ChatGPT and Claude have experienced a meteoric rise in usage over the past three years because they can help ...

Secrets of Chinese AI Model DeepSeek Revealed in Landmark Paper

The success of DeepSeek’s powerful artificial intelligence (AI) model R1 — that made the US stock market plummet when it was ...
InfoWorld

A brief history of AI

Artificial intelligence has taken many forms over the years and is still evolving. Will machines soon surpass human knowledge ...
Physics World

The pros and cons of reinforcement learning in physical science

David Silver of Google DeepMind thinks AIs that ‘learn by experience’ are the future of AI – but maybe not in particle ...
Semiconductor Engineering

The Limits Of AI’s Role In EDA Tools

AI is a set of algorithms capable of solving problems. But how relevant are they to the tasks that EDA performs?
Psychology Today

Observing Aggression and Learning From It

In a groundbreaking study from 1961, Albert Bandura demonstrated that we learn by watching what others do. New evidence links ...
The Register on MSN

China's DeepSeek applying trial-and-error learning to its AI 'reasoning'

Model can also explain its answers, researchers find Chinese AI company DeepSeek has shown it can improve the reasoning of its LLM DeepSeek-R1 through trial-and-error based reinforcement learning, and ...