Anthropic says it solved the long-running AI agent problem with a new multi-session Claude SDK

Anthropic believes it has solved this issue for its Claude Agent SDK, developing a two-fold solution that allows an agent to work across different context windows.

Alibaba's AgentEvolver lifts model performance in tool use by ~30% using synthetic, auto-generated tasks

The new framework from Tongyi Lab enables agents to create their own training data by exploring and interacting with new ...
DIGITIMES

Xiaomi unveils open-source AI model unifying robotics and autonomous driving

Embodied, an open-source foundational model that integrates autonomous driving with embodied intelligence. The research team ...
IEEE

Large-Scale Completion of Ionospheric TEC Maps Using Machine Learning Models With Constraints Conditions

Abstract: Total electron content (TEC) is a key ionospheric parameter, but data gaps, especially over oceans, remain challenging due to sparse receiver coverage. Deep learning offers promising ...
GitHub

Tro-fish/Decoding-Dense-Embeddings

To train the SAE, you need embeddings generated by a DPR model. We use dense embeddings from SimLM for all 8.8M MSMARCO passages and train queries. After training the SAE, you can reconstruct the ...
IEEE

Synergetic Learning Systems: Interpretation of Deep Learning Using Physics

Abstract: Deep neural networks (DNN) are widely used in various fields and get great success, but one of the major challenges is interpretable mechanism of DNN model. In order to break through the ...