Director of AI, Google || AI Researcher | Entrepreneur | Strategy || Opinions are my own

San Francisco Bay Area
Joined January 2008
We’re back in a Flash ⚡ Gemini 3 Flash is our latest model with frontier intelligence built for lightning speed, and pushing the Pareto Frontier of performance and efficiency. It outperforms 2.5 Pro while being 3x faster at a fraction of the cost. With this release, Gemini 3’s next-generation intelligence is now rolling out to everyone across our products including @Geminiapp + AI Mode in Search. Devs can build with it in the Gemini API @GoogleAIStudio, Gemini CLI, and Google @antigravity and enterprises can get it in Vertex AI and Gemini Enterprise.
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Ashwin Ram retweeted
Today, we’re bringing our leading deep research experiences to developers with Gemini Deep Research agent so they can embed Google’s most advanced autonomous research capabilities directly into their own applications for the first time.
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Why spend hours tweaking slides when you could just… ask for what you want? Create and edit images and infographics with Nano Banana Pro in Slides or quickly liven up any slide with the “Beautify my slide” button. Experience the upgrade for yourself at slides.new!
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Its been an exciting 7 days of shipping - New much improved Gemini Live on Android and iOS - Gemini 3.0 Pro in Gemini App and AI Studio - Search AI Mode with Gemini 3.0 Pro and much improved shopping experience - Google Antigravity, our next generation agentic IDE -- Nanobanana in Google Photos - SIMA 2 research - Waymo now across SF Bay Area and in Miami today More to come!
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Our 7th gen TPU Ironwood is coming to GA!  It’s our most powerful TPU yet: 10X peak performance improvement vs. TPU v5p, and more than 4X better performance per chip for both training + inference workloads vs. TPU v6e (Trillium). We use TPUs to train + serve our own frontier models, including Gemini, and we’re excited to make the latest generation available to @googlecloud customers.
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New breakthrough quantum algorithm published in @Nature today: Our Willow chip has achieved the first-ever verifiable quantum advantage. Willow ran the algorithm - which we’ve named Quantum Echoes - 13,000x faster than the best classical algorithm on one of the world's fastest supercomputers. This new algorithm can explain interactions between atoms in a molecule using nuclear magnetic resonance, paving a path towards potential future uses in drug discovery and materials science. And the result is verifiable, meaning its outcome can be repeated by other quantum computers or confirmed by experiments. This breakthrough is a significant step toward the first real-world application of quantum computing, and we're excited to see where it leads.
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Today, we announced Gemini Enterprise - the new front door for AI in the workplace. Gemini Enterprise brings the best of Google AI to every employee through an intuitive chat interface that unifies six core components -
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Today we introduced Gemini Enterprise, built with our most advanced Gemini models. It allows you to chat with your company’s documents, data and apps as well as build and deploy AI agents, all grounded in your information and context. Have a look at how it helps you build an agent for almost anything:
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Ashwin Ram retweeted
Introducing Gemini 2.0 Flash Thinking, an experimental model that explicitly shows its thoughts. Built on 2.0 Flash’s speed and performance, this model is trained to use thoughts to strengthen its reasoning. And we see promising results when we increase inference time computation!
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Looking to lean into #AI at your company? It's not just about the model, the platform is a key decision. Perhaps most important of all is the team and talent you'll need to assemble. Sharing some thoughts from @GoogleCloud #OCTO (Office of the CTO) on this question.
The question in our latest "Ask OCTO" column: What specific skills and knowledge gaps need to be addressed to work effectively with AI systems? Experts from Google Cloud's Office of the CTO are here with the answers and advice ↓ cloud.google.com/transform/a…
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This is fast. Chrome running Gemini locally on my laptop. 2 lines of code.
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Imagine an #AI that not only understands your #health data from wearables but also gives you personalized insights and recommendations, like a virtual health coach. Two new research papers from @Google Research, Health and DeepMind. research.google/blog/advanci…
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While there's excitement around #AI for text and multimodal use cases, there's need for models that work with time-series data, e.g. for retail, finance, manufacturing, healthcare, and natural sciences. Here's the new #TimesFM model from @Google Research: research.google/blog/a-decod…
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Ashwin Ram retweeted
One more day until #GoogleIO! We’re feeling 🤩. See you tomorrow for the latest news about AI, Search and more.
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Up-and-right is good. Upper-and-righter is better. Thanks @Forrester for the recognition! "Doing #AI efficiently at @Google-scale is a feat that few other companies in the world are capable of." Read more: cloud.google.com/blog/produc… Download the report: inthecloud.withgoogle.com/fo…
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No surprise to @Google #Pixel 8 owners :) but nice to see the recognition. 9to5google.com/2024/02/28/go…
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Thrilled about Pixel 8 winning another important Phone of the Year award at MWC! @madebygoogle thank you to the entire Pixel user community for helping us get there, and congratulations to our team for great progress!
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Ashwin Ram retweeted
Gemma is a new family of open models that help developers and researchers build AI. Along with the lightweight models, we’re launching tooling that encourages collaboration and a guide to responsible use of these models. Learn more → goo.gle/49IOArw
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Gemma is now available to Google Cloud customers within Vertex AI and Google Kubernetes Engine (GKE). goo.gle/3ON2eSH
Introducing Gemma - a family of lightweight, state-of-the-art open models for their class built from the same research & tech used to create the Gemini models.  Demonstrating strong performance across benchmarks for language understanding and reasoning, Gemma is available worldwide starting today in two sizes (2B and 7B), supports a wide range of tools and systems, and runs on a developer laptop, workstation or @GoogleCloud. Excited to see what you’ll create →  ai.google.dev/gemma blog.google/technology/devel…
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