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Google / Gemini

AI news from Google and DeepMind: the Gemini models, Veo video models, research results and the product ecosystem.

113 picksLast 30 days 48 itemsCollected 319 items

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Picks archive · page 6

4/22Wed
  1. Google DeepMind62

    Google DeepMind releases Decoupled DiLoCo distributed-training architecture

    Google DeepMind has released Decoupled DiLoCo, a distributed-training architecture that divides large-scale training into compute islands communicating asynchronously, reducing bandwidth requirements and isolating hardware failures. In tests, training continued and reconnected after an entire learner unit went offline, achieving the same ML performance as traditional methods with Gemma 4 models.

    Why it matters: The source reports distributed pretraining results across bandwidth, fault tolerance, and mixed-generation hardware, helping readers assess engineering tradeoffs.

  2. Google Research62

    Google proposes ReasoningBank, helping agents learn from successes and failures

    In an ICLR paper, Google Research proposes ReasoningBank, an agent-memory framework that extracts high-level, structured reasoning memories from successful and failed experiences. Its code is open-source.

    Why it matters: The paper describes a closed loop for extracting reasoning memories from successes and failures, with success-rate and step-count results on WebArena and SWE-Bench-Verified.

4/16Thu
  1. Google DeepMind71

    Google DeepMind releases Gemini 3.1 Flash TTS voice model

    Google DeepMind has released Gemini 3.1 Flash TTS, a text-to-speech model focused on control, expressiveness, and audio quality. It is available in developer preview through the Gemini API and Google AI Studio, in enterprise preview on Vertex AI, and to Workspace users through Google Vids.

    Why it matters: The official release explains how to use audio tags and lists language coverage, helping readers assess how controllable speech generation is.

4/13Mon
  1. Google DeepMind71

    Google DeepMind releases Gemini Robotics-ER 1.6

    Google DeepMind has released Gemini Robotics-ER 1.6, a major upgrade to its reasoning-first robotics model. It improves spatial reasoning and multi-view understanding and adds the ability to read complex instruments such as pressure gauges and level meters.

    Why it matters: The source details changes in spatial reasoning, multi-view understanding, and instrument reading, along with access information, giving a view of progress in high-level robot reasoning.

4/3Fri
3/31Tue
  1. Google Research66

    Google white paper details cryptocurrency vulnerabilities to quantum attacks and PQC migration advice

    Google Quantum AI has published a white paper saying future quantum computers may be able to break the elliptic-curve cryptography protecting cryptocurrencies with fewer qubits and gates than previously thought.

    Why it matters: Google Quantum AI presents new estimates of the quantum resources needed to break ECDLP-256 and explains how it disclosed the vulnerability without revealing attack details.

3/29Sun
  1. Google DeepMind62

    Google DeepMind redesigns the mouse pointer for the AI era, rolling out first in Chrome and Googlebook

    Google DeepMind has published four interaction principles for AI pointers and demonstrated an experimental Gemini-powered pointer. In Google AI Studio, users can edit images or find places on a map by pointing and speaking.

    Why it matters: Google DeepMind lays out four principles for pointer interaction and previews deployments in Chrome and Googlebook, showing a path from prompts toward pointing and voice.

3/25Wed
  1. Google Research62

    Google releases Vibe Coding XR, turning natural language into Android XR apps with Gemini and XR Blocks

    Google has released the Vibe Coding XR workflow, combining Gemini's long-context reasoning with the XR Blocks framework, based on WebXR, three.js, and LiteRT.js, to turn natural language directly into physics-aware Android XR apps. Google says the process takes under 60 seconds.

    Why it matters: Google combines Gemini and XR Blocks into a workflow for generating XR apps from a single sentence and reports preliminary VCXR60 benchmark results, offering a view of the changing barrier to spatial-computing prototypes.

  2. Google Research62

    Google releases TurboQuant vector-compression algorithm, reducing KV cache to 3 bits without loss of accuracy

    Google has released TurboQuant, a compression algorithm that quantizes KV cache to 3 bits without training or fine-tuning and without loss of model accuracy, reducing KV-memory use by at least 6×.

    Why it matters: Google reports TurboQuant's algorithm details and benchmark results, helping readers assess the usefulness of KV-cache compression for long-context workloads.

3/18Wed
3/12Thu
  1. Google Research62

    Google adds urban flash-flood forecasts to Flood Hub, with up to 24 hours' warning

    Google has announced that Flood Hub now includes urban flash-flood forecasts, using a new AI approach to predict urban flood risk up to 24 hours in advance.

    Why it matters: The source describes the modeling approach and evaluation results for urban flash-flood forecasting, helping readers assess the reach of AI flood warnings in the Global South.

  2. Google Research62

    Google launches Groundsource, using Gemini to turn news reports into disaster data

    Google has released Groundsource, a method for using Gemini to extract structured disaster data from global news. It has also opened the first urban flash-flood dataset, with 2.6 million records across more than 150 countries from 2000 to the present.

    Why it matters: Google turns global news into structured disaster data with Gemini and reports human-verified accuracy and coverage comparisons, helping readers assess whether the method can extend to other disasters.

  3. Google Research66

    Google and BIDMC study the real-world clinical feasibility of conversational diagnostic AI

    Google Research and Beth Israel Deaconess Medical Center conducted a prospective, single-center feasibility study in which AMIE interviewed patients by text before outpatient primary-care visits, under video supervision by a physician throughout.

    Why it matters: Google and BIDMC have deployed conversational diagnostic AI in a real outpatient workflow for the first time, showing its safety-supervision model and diagnostic performance.