Springer Nature announced on October 28 that it is partnering with Google DeepMind to co-design an AI peer-review assistant, built on Google's open-source agent development kit and running on the secure Gemini Enterprise platform, to help reviewers assess papers more efficiently and strengthen research quality and integrity.
On October 27, Google announced that Oracle will become the first major cloud provider to rent TPUs to customers, with Oracle purchasing the chips directly and the end user being a major customer shared by both companies.
OpenAI reportedly plans to purchase Google's AI chips, with financial terms and other details of the deal still unclear.
On October 27, 2026, Google DeepMind released Genie 4, its next-generation world model, in research preview. It generates more realistic interactive worlds, supports real-time audio generation and scene editing, maintains scene consistency for up to two minutes, and integrates more closely with Gemini models.
Oracle announced it is expanding its cloud AI chip agreement with Nvidia to multi-gigawatt scale for Nvidia's latest Vera Rubin AI servers, and will offer Google TPU chips for the first time, while planning to add inference chips from SambaNova and Cerebras to diversify its chip lineup.
Apple has added Google's SynthID technology in iOS 27.2 to embed invisible watermarks on images created by Image Playground and some photos edited with Apple Intelligence. The feature does not affect image quality and withstands cropping and filters. iPhones lack a built-in detector, requiring users to check via the SynthID Detector website.
Google announced that its Beam 3D video conferencing technology (formerly Project Starline) has been deployed at 20 USO locations worldwide, allowing active military members to communicate with their families, following a successful pilot between Fort Bliss, Texas, and Poland.
Jon Barron, a principal research scientist at Google DeepMind, disclosed on X that standard implementations of Softmax and cross-entropy in PyTorch, JAX, and textbooks contain rounding bugs that cause gradient vanishing and training instability. The bug was initially discovered and fixed by Gemini Flash 3.7. The team submitted a paper on arXiv proposing a rewrite, with test accuracy on modular addition rising from 93.3% to 100% after the fix.
On October 22, Google announced the launch of Agent Compute Engine (ACE), a Google Cloud compute service built for AI agents. It provides each agent with a hardware-isolated microVM, supports fast startup, automatic suspension and resume, with suspension and resume taking under 500 milliseconds in tests, and initially powers internal processes such as Gemini.
Google announced that Gemini, with user permission, can now reference Google Maps searches and saved places along with Google Calendar to provide personalized daily recommendations.