Maritime target tracking datasets are crucial for developing and benchmarking algorithms that support safe navigation of intelligent marine vessels in congested environments. Unlike the automotive ...

Drop-in long-term memory layer that extracts, stores, and retrieves user facts across a hybrid vector-graph-key-value store. The 2.0 rewrite landed quietly while the discourse was on MCP and ...

The dominant use of AI in 2026 is a coding agent—even though almost none of the people using AI think of themselves as programmers, and almost none of them ever see a line of code. This shift is ...

Spencer Judge discusses the architectural pattern of building a shared core in Rust with language-specific layers on top. Drawing from his work on Temporal's SDKs, he shares lessons on navigating FFI ...

Organoids have become mainstay tools for drug discovery and personalized medicine. High-throughput imaging readouts for drug screening of tumor organoids are of particular interest as organoid-level ...

This important work introduces an integrated open-source platform for behavioral acquisition and pose estimation that substantially improves the accessibility and speed of real-time animal tracking ...

Gemini Omni is a model announced by Google at I/O 2026 that represents a major evolution in multimodal AI. It is characterized by its ability to generate and edit high-quality videos from various ...

Its DiT-style backbone uses factorized temporal, spatial, and object-level attention to capture coherent structure across time, vertices, and objects. Trained on over 100k collision-rich, ...

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