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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 5

6/11Thu
  1. Google DeepMind71

    Google DeepMind releases DiffusionGemma, generating text up to 4× faster

    Google DeepMind has released DiffusionGemma, an experimental open-source model that uses text diffusion to generate entire chunks of text in parallel. It generates text up to 4× faster on specialized GPUs, exceeding 1,000 tokens per second on a single NVIDIA H100 and 700 tokens per second on an RTX 5090.

    Why it matters: Google DeepMind's open text-diffusion model comes with concrete speed and hardware figures, helping readers assess the feasibility of local interactive inference.

6/9Tue
  1. Google DeepMind78

    Google DeepMind releases Gemini 3.5 Live Translate real-time speech translation model

    Google DeepMind has released Gemini 3.5 Live Translate, a near-real-time speech-to-speech translation audio model supporting more than 70 languages. It detects languages automatically and preserves the speaker's intonation, rhythm, and pitch.

    Why it matters: Gemini 3.5 Live Translate replaces sentence-by-sentence waiting with continuous generation and offers developer, enterprise, and consumer deployment paths.

  2. Google DeepMind78

    Google DeepMind releases Gemma 4 12B, a unified encoder-free multimodal model

    Google DeepMind has released Gemma 4 12B, an agentic multimodal model aimed at laptops, positioned between the edge-focused E4B and the 26B MoE. It is the company's first medium-sized model with native audio input.

    Why it matters: Gemma 4 12B removes multimodal encoders and feeds visual and audio input directly into the LLM, giving readers a view of hardware requirements for local multimodal agents.

6/8Mon
  1. Google DeepMind62

    Google DeepMind publishes results from AI learning trial in Sierra Leone

    Google DeepMind has published results from a preregistered randomized controlled trial in Sierra Leone. Students using Guided Learning improved their math scores by 0.258 standard deviations over the control group—equivalent to about 1.2 to 1.7 years of typical learning—in eight weeks.

    Why it matters: The study reports quantified results and interaction data from a randomized trial in Sierra Leone, helping readers assess the effects of AI-assisted instruction in real classrooms.

6/5Fri
  2. Google Research67

    Google Research studies passive heart-health monitoring with a phone camera

    In a paper published in Nature, Google Research describes PHRM, a system that uses the front-facing camera to record a few seconds of video after face unlock and estimate heart rate and resting heart rate in the background using deep learning.

    Why it matters: Google passively measures heart rate with a phone's front camera after unlock and has released its largest phone-video dataset to date along with a pretrained model.

5/20Wed
  1. Oriol Vinyals · X82

    Google launches Gemini 3.5 Flash at I/O

    At Google I/O, Oriol Vinyals announced the launch of Gemini 3.5 Flash, describing the goal as frontier-level intelligence at unprecedented speed. He says 3.5 Flash beats 3.1 Pro on almost every benchmark while running at Flash speeds.

    Why it matters: The post states the new model's positioning and benchmark claim against 3.1 Pro, giving a quick read on Google's Flash-tier speed and capability tradeoff.

5/19Tue
  1. Google DeepMind60

    Google DeepMind's Co-Scientist accelerates discovery of genetic clues to reversing cellular aging

    Google DeepMind biologists Omar Abudayyeh and Jonathan Gootenberg used Co-Scientist to support aging research. After scanning tens of thousands of papers, the tool proposed more than 20 new candidate genetic factors. Lab tests validated several hypotheses, successfully making cells younger and improving their overall function. Co-Scientist also analyzed large-scale genetic-screening data, reducing data and literature linkage work that could take up to six months to just days.

    Why it matters: The source reports specific outputs and time comparisons from Co-Scientist's role in aging research, showing how AI agents contribute to scientific hypothesis generation.

5/18Mon
  1. Google DeepMind62

    Google DeepMind brings real-world Street View scenes to Project Genie

    Google DeepMind has added Street View scene anchoring to the experimental Project Genie prototype. It can generate interactive worlds based on real locations in the United States, with optional styles such as Ocean World, Desert Sands, Stone Age, and B&W film.

    Why it matters: The source explains Project Genie's capabilities and availability with Street View, offering a view of how world models may be deployed.

  2. Google DeepMind85

    Google DeepMind releases Gemini Omni Flash for video generation from multimodal inputs

    Google DeepMind has released Gemini Omni Flash, the first model in the Omni family. It can combine images, audio, video, and text as inputs to generate high-quality video and supports iterative video editing through natural-language conversation.

    Why it matters: The source describes the first Omni model's input and output capabilities and where it is available, helping readers assess the practical reach of multimodal video generation.

5/17Sun
  2. Google DeepMind67

    Google expands SynthID and C2PA content verification to Search, Gemini, and Chrome

    Google has announced that it is extending content transparency and verification tools across Search, Gemini, Chrome, Pixel, and Cloud. The Gemini app already supports SynthID verification for images, video, and audio, with 50 million uses to date. The feature is coming to Search today and Chrome in the coming weeks.

    Why it matters: The source details where SynthID and C2PA verification are available across Search, Gemini, and Chrome, helping readers assess the practical reach of provenance tools.

5/16Sat
  1. Google DeepMind66

    How WeatherNext helped the U.S. National Hurricane Center forecast Hurricane Melissa's landfall in Jamaica

    WeatherNext, developed by Google DeepMind and Google Research, helped the U.S. National Hurricane Center forecast five days in advance that Hurricane Melissa would make landfall in Jamaica as a Category 5 storm, with 80% confidence. Three days before landfall, confidence rose to nearly 100%.

    Why it matters: The article reports WeatherNext's real-world performance on both hurricane track and intensity forecasts, showing how AI weather models are used for extreme events.

  2. Google DeepMind88

    Google DeepMind releases Gemini 3.5 Flash for agents and coding

    Google DeepMind has released Gemini 3.5 Flash, the first model in the Gemini 3.5 family, positioning it as a frontier model for agents and coding. It is available starting today in the Gemini app, AI Mode in Google Search, Google Antigravity, the Gemini API, and Gemini Enterprise.

    Why it matters: Gemini 3.5 Flash beats 3.1 Pro on coding and agent benchmarks and includes speed and cost comparisons, helping readers assess its potential for long-horizon tasks.

5/12Tue
  1. Google DeepMind71

    Google DeepMind releases Co-Scientist multi-agent research system

    Google DeepMind has published research on Co-Scientist in Nature. Built on Gemini, it is a multi-agent AI system that iteratively generates, debates, and evolves scientific hypotheses.

    Why it matters: The article describes the multi-agent system's three-stage architecture and deployments in several labs, explaining how AI contributes to scientific hypothesis generation.

5/6Wed
  1. Google DeepMind80

    Google DeepMind reviews a year of AlphaEvolve, from mathematical discoveries to TPUs and commercial deployment

    Google DeepMind has published a one-year impact review of AlphaEvolve, the Gemini-powered coding agent. It has expanded from exploring open problems in mathematics and computer science to becoming a core component of Google's infrastructure.

    Why it matters: The official review summarizes AlphaEvolve deployments over its first year, helping readers assess how algorithmic agents are being used in science and infrastructure.

4/30Thu
  1. Google DeepMind62

    Google DeepMind launches AI co-clinician research program

    Google DeepMind has announced an AI co-clinician research program exploring a “triple-care” model in which AI agents assist with patient care under clinical supervision. In blind evaluation of 98 real primary-care queries, the system had no critical errors in 97 cases, and doctors preferred its responses to those from existing evidence-synthesis tools. It also outperformed other frontier models on open-ended medication questions in OpenFDA's RxQA.

    Why it matters: Google DeepMind reports results from physician blind reviews, RxQA, and simulated remote consultations, offering a view of current medical-AI capabilities.

  2. Google Research62

    Four ways scientists are using Google's Empirical Research Assistance

    Google Research summarizes four areas where scientists use Empirical Research Assistance (ERA): in public health, the team submits weekly influenza forecasts for U.S. states.

    Why it matters: Google uses four real research projects to show ERA deployments in epidemic forecasting, cosmology, carbon monitoring, and neuroscience, illustrating how AI-assisted research is being used.

4/23Thu
  1. Google Research60

    Google Photos adds Auto frame, using generative AI to change the viewpoint within a photo

    Google Research has announced a way to adjust viewpoint after a photo is taken in Google Photos' Auto frame feature. It treats the photo as a 3D scene and automatically changes the virtual camera position and focal length. The two-step method first uses an internal 3D point-map estimation model to reconstruct people and faces and estimate the original camera focal length, then uses a generative latent-diffusion model to fill blank areas revealed by the new view. For photos with people, the feature now automatically offers a second, reconstructed version that can correct perspective distortion in wide-angle selfies.

    Why it matters: Google Photos combines 3D-scene estimation with generative inpainting, showing how a new post-capture viewpoint-editing workflow is implemented.