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Product updates

New features, redesigns and business moves in AI products and apps: which got better, pricier or finally usable.

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Jul 7

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Jun 4

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  1. The next chapter in flood resilience: Open sourcing Google’s hydrology framework

    Google Research open-sourced its hydrological modelling framework on GitHub under Apache 2.0, enabling national weather and hydrology agencies to integrate AI flood forecasting. The Python package uses PyTorch and an LSTM architecture, can train or fine-tune on Caravan data, and includes interactive tutorial notebooks and videos.

May 28

Thursday
  1. AI Now Summit 2026

    Mistral released an AI stack for industrial engineering at AI Now Summit 2026, partnering with Airbus, BMW and ASML to optimise design, simulation and production while retaining control over proprietary data and IP.

May 22

Friday

May 20

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Apr 27

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Apr 23

Thursday
  1. It's all about the angle: Your photos, re-composed

    Google Research introduced a new method in Google Photos’ Auto frame to change camera viewpoints after a photo is taken. An internal 3D point-map estimation model reconstructs the scene and focal length, then a generative latent diffusion model fills gaps exposed by the new view. It automatically detects faces and wide-angle distortion to suggest ideal framing. The feature already applies automatically to photos containing people, with reframed versions available among Auto frame candidates.

Mar 29

Sunday
  1. Reimagining the mouse pointer for the AI era

    Google DeepMind unveiled an experimental Gemini-powered AI pointer that understands not only what it points at but what it means to the user. The team proposed four interaction principles: avoiding workflow interruption, capturing nearby visual and semantic context, supporting natural shorthand such as “this” and “that”, and turning pixels into actionable entities such as places, dates and objects.

Mar 25

Wednesday

Mar 18

Wednesday
  1. Introducing Forge

    Mistral AI launched Forge, a system for enterprises to build frontier-class AI models on proprietary knowledge, supporting pre-training, post-training and reinforcement learning. It handles dense and MoE architectures and, when needed, multimodal inputs, with training and governance on companies' own infrastructure.

Mar 12

Thursday