Imagine trying to teach a child how to solve a tricky math problem. You might start by showing them examples, guiding them step by step, and encouraging them to think critically about their approach.
Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...
DeepSeek-R1's release last Monday has sent shockwaves through the AI community, disrupting assumptions about what’s required to achieve cutting-edge AI performance. Matching OpenAI’s o1 at just 3%-5% ...
Max-Thinking, outperforms several rivals in multiple benchmarks, the company said. The Qwen family of large language models ...
Researchers from Fudan University and Shanghai AI Laboratory have conducted an in-depth analysis of OpenAI’s o1 and o3 models, shedding light on their advanced reasoning capabilities. These models, ...
Amazon Web Services Inc. wants to solve the efficiency challenges of artificial intelligence agents and reduce their overall inference demands, and it’s tackling the problem with more advanced model ...
Robotics is entering a new phase where general-purpose learning matters as much as mechanical design. Instead of programming ...
Researchers have developed a new framework to make complex AI tasks more accessible and transparent to users. The framework specializes in providing solutions to deep reinforcement learning (DRL) ...
This work presents an AI-based world model framework that simulates atomic-level reconstructions in catalyst surfaces under dynamic conditions. Focusing on AgPd nanoalloys, it leverages Dreamer-style ...
The Chinese firm has pulled back the curtain to expose how the top labs may be building their next-generation models. Now things get interesting. When the Chinese firm DeepSeek dropped a large ...
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