OpenUK's AI Openness report, published in July 2026, features a fireside chat with Anil Madhavapeddy on open foundation models like TESSERA, emphasizing that non-inspectable, non-reproducible models a…
Researchers at the University of Cambridge built TESSERA, a planetary-scale foundation model for Earth observation, using AMD Instinct GPUs instead of Nvidia hardware. The model, trained on 16 AMD MI3…
Anil Madhavapeddy, a University of Cambridge computer scientist, examined a first-year PhD viva in the Faculty of Law on planetary infrastructure regulation and reported that 1.7 million low Earth orb…
Developer Anil Madhavapeddy released ocaml-deepseek, an OCaml library that integrates DeepSeek's open-weight LLM directly into applications via a native inference engine, enabling local, dependency-fr…
A new OCaml course book for the NPTEL MOOC platform runs code directly in the browser with no installation or server, aiming to eliminate the setup barrier that has long plagued beginners. The book, w…
Developer Anil Madhavapeddy released TESSERA v1.1 and GeoTessera 0.9, improving temporal embeddings and S3+Zarr support, while also advancing io-uring libraries for OCaml. The updates address performa…