DClimate released global wall-to-wall v1.1 Tessera embeddings on AWS covering 2017-2025, the first complete embeddings coverage across so many years for any Tessera model, funded by an AWS Open Data g…
A preprint titled "NERVE Attacks: Breaking AI-Powered Brain-Computer Interfaces" from researchers Zahra Tarkhani, Georgios Akkogiounoglou, Isabel Tscherniak, Lorena Qendro of Nokia Bell Labs, and Anil…
Tessera v2.0 beta2, published by Anil Madhavapeddy and Mark Elvers to source.coop, reduces boundary artefacts by 35% using MODIS corrections but regresses temporal alignment, so beta1 may remain the b…
Open source maintainer Anil Madhavapeddy deployed Scrutineer, a security scanner from the Alpha-Omega project, to proactively find bugs in his code, using a local GLM 5.3 Flash model on his Mac Studio…
GeoTessera 0.10 has been released, moving hosting to Source Cooperative with UTM-native Zarr routing and Matryoshka reads, while the full global run of Tessera v1.1 embeddings for 2017-2025 has been d…
GeoTessera 0.10.0 and 0.10.1 have been released, moving hosting to the Source Cooperative with CloudFlare edge caching for improved stability and lower latency. The release follows a year of adoption …
Pedro Sousa's preprint reports that replacing handcrafted terrain descriptors with Tessera satellite foundation model embeddings improves probabilistic weather downscaling, achieving better prediction…
Josh Millar of Imperial College London led an article published in GetMobile benchmarking micro-NPUs, ultra-low-power neural network accelerators found in low-cost chips such as ESP32-based boards and…
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…
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…
Anil Madhavapeddy spoke at the CHIA annual conference in Cambridge on AI for science and career guidance for young scientists, and wrote up notes from the first Cloud-Native Geospatial Forum held in L…
Sir David Attenborough visited the Cambridge Conservation Initiative's 10th anniversary, while Andrew Balmford delivered the Royal Society Environment Prize lecture on sustainable high-yield farming. …
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…
The Tessera team released v1.1 of their geospatial embedding model, improving temporal stability and reducing noise in regions with sparse satellite observations. The update eliminates grid-like seams…
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…
Sadiq Jaffer spoke about TESSERA at Cambridge's Pint of Science event, while Cambridge undergraduates Radhika Iyer and Oliver Fogelin completed dissertations applying TESSERA to conservation and build…
Researchers at Cambridge University used AI and a 20-petabyte geospatial model called TESSERA to help identify hedgehogs in images, leading to a BBC News article and a flurry of media appearances. The…