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Gemma

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  1. IndustryReach 44

    Google DeepMind brings on-device Gemma to fight conversational scams

    Google DeepMind just teamed up with GovTech Singapore to deploy a fine-tuned, on-device Gemma model that spots social engineering scams directly on smartphones. It uses a lightweight two-stage pipeline to analyze multi-turn conversations locally without sending raw messages to the cloud. Why it matters: conversational scams cause up to 80% of local scam losses, and edge AI proves platforms can protect users without compromising end-to-end encryption.

  2. IndustryReach 54

    Google DeepMind shakes up its leadership as Hassabis steps back

    Google just announced a major leadership shakeup across its AI ranks, with Demis Hassabis stepping back from day-to-day operations to become Chair of DeepMind and Alphabet’s Chief Scientist. DeepMind veteran Koray Kavukcuoglu takes over as SVP to steer Gemini model development, while legendary 27-year Google veteran Jeff Dean is departing to launch an independent AI-for-science venture. With Gemini topping 950M monthly active users, Google is reorganizing its top minds for the next sprint toward AGI.

  3. Open sourceReach 49

    Google gives Gemma 4 a 3x speed boost

    Google just released Multi-Token Prediction (MTP) drafter models for its Gemma 4 family, unlocking up to a 3x inference speedup with zero quality loss. By pairing lightweight drafters with heavier target models through speculative decoding, Gemma 4 can predict multiple tokens at once and verify them in a single forward pass. Why it matters: developers get significantly faster local and on-device execution without burning extra memory bandwidth or battery.

  4. AI toolsReach 41

    Google quietly drops an offline AI dictation app for iPhone

    Google just released Google AI Edge Eloquent on iOS, a free offline-first dictation app built to take on tools like Wispr Flow and SuperWhisper. Powered by on-device Gemma models, it transcribes speech in real time while stripping out filler words like "um" and "ah" and polishing messy thoughts into bullet points or formal prose. An optional cloud mode taps Gemini for heavy cleanup, with an iOS keyboard extension coming soon.

  5. IndustryReach 40

    Google backs Sakana AI to bring frontier models to Japan's critical sectors

    Sakana AI just announced a strategic partnership with Google, alongside fresh funding from the search giant following its Series B round. The Tokyo-based lab plans to integrate Google's Gemini and Gemma models into its scientific discovery and agentic systems, while rolling out secure AI tools for Japan's banking and government sectors. Why it matters: Google gains a direct conduit into Japan's highly regulated industries through the country's leading AI lab.

  6. ResearchReach 32

    Google built an on-device AI to decode dolphin chatter

    Google just unveiled DolphinGemma, a ~400M parameter model developed with Georgia Tech and the Wild Dolphin Project to decode dolphin vocalizations. Operating audio-in and audio-out, it predicts upcoming call patterns much like an LLM predicts words. Best of all, it runs directly on Pixel phones in the wild, with an open-source release planned for summer 2025.

  7. AI toolsReach 32

    Google pairs Gemma with vLLM for a 23x speedup

    Google just detailed how to deploy Gemma models on Dataflow using vLLM for streaming inference. By leveraging continuous batching and Dataflow's model manager, developers can spin up an end-to-end serving pipeline in minimal code, boosting inference throughput by over 23x in benchmarks.

  8. Open sourceReach 62

    Google drops Gemma 2 with giant-killing 27B model

    Google just officially released Gemma 2, introducing ultra-efficient 9B and 27B open models for developers. The 27B variant punches above its weight by matching models twice its size while running full precision on a single Nvidia H100, and the 9B edges out Llama 3 8B. It is available now under a commercial-friendly license.

  9. Open sourceReach 59

    Google drops CodeGemma for lightweight code completion

    Google just released CodeGemma in collaboration with Hugging Face, bringing a family of open-access code specialists built on Gemma. Trained on an extra 500 billion tokens, the lineup includes an infilling-focused 2B model that runs on consumer hardware alongside 7B base and instruct variants. Why it matters: It offers developers fast, private code completion without needing massive cloud infrastructure.

  10. Open sourceReach 61

    Google drops Gemma, a powerful open-source model you can run locally

    Google just released Gemma, a new lightweight family of open models built on the same research as Gemini. Available in 2B and 7B parameter sizes, it runs directly on laptops or desktops, beats rival open models at its scale, and comes with permissive commercial licensing. It gives local and open-source AI developers a massive new alternative to Llama.