Build with Nano Banana Pro, our Gemini 3 Pro Image model
Nano Banana Pro, or Gemini 3 Pro Image, is our most advanced image generation and editing model.
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What does the future hold for generative AI?
When OpenAI introduced ChatGPT to the world in 2022, it brought generative artificial intelligence into the mainstream and started a snowball effect that led to its rapid integration into industry, scientific research, health care, and the everyday lives of people who use the technology. What comes next for this powerful but imperfect tool? With that question in mind, hundreds of researchers, business leaders, educators, and students gathered at MIT’s Kresge Auditorium for the inaugural MIT Generative AI Impact […]
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New research from Google Workspace reveals how young leaders are using AI at work.
Google Workspace has released findings from our second survey that looks at how people aged 22-39 are using AI at work. Commissioned by Workspace in partnership with the…
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Watermarking and Forensics for AI Models, Data, and Deep Neural Networks
In my previous paper posted here, I explained how I built a new class of non-standard deep neural networks, with various case studies based on synthetic data and open-source code, covering problems such as noise filtering, high-dimensional curve fitting, and predictive analytics. One of the models featured a promising universal function able to represent any type of smooth response, while leading to fast convergence. Here I explore weight sensitivity and distillation. The words weight and parameter are used […]
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Why model distillation is becoming the most important technique in production AI
Nebius Token Factory customers use distillation today for search ranking, grammar correction, summarization, chat quality improvement, code refinement, and dozens of other narrow tasks.
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NVIDIA CEO Drops the Blueprint for Europe’s AI Boom
At GTC Paris — held alongside VivaTech, Europe’s largest tech event — NVIDIA founder and CEO Jensen Huang delivered a clear message: Europe isn’t just adopting AI — it’s building it. “We now have a new industry, an AI industry, and it’s now part of the new infrastructure, called intelligence infrastructure, that will be used by every country, every society,” Huang said, addressing an audience gathered online and at the iconic Dôme de Paris. From exponential inference growth […]
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The Machine Learning “Advent Calendar” Day 13: LASSO and Ridge Regression in Excel
Ridge and Lasso regression are often perceived as more complex versions of linear regression. In reality, the prediction model remains exactly the same. What changes is the training objective. By adding a penalty on the coefficients, regularization forces the model to choose more stable solutions, especially when features are correlated. Implementing Ridge and Lasso step by step in Excel makes this idea explicit: regularization does not add complexity, it adds preference. The post The Machine Learning “Advent Calendar” […]
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Google LiteRT NeuroPilot Stack Turns MediaTek Dimensity NPUs into First Class Targets for on Device LLMs
The new LiteRT NeuroPilot Accelerator from Google and MediaTek is a concrete step toward running real generative models on phones, laptops, and IoT hardware without shipping every request to a data center. It takes the existing LiteRT runtime and wires it directly into MediaTek’s NeuroPilot NPU stack, so developers can deploy LLMs and embedding models with a single API surface instead of per chip custom code. What is LiteRT NeuroPilot Accelerator? LiteRT is the successor of TensorFlow Lite. […]
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A smarter way for large language models to think about hard problems
To make large language models (LLMs) more accurate when answering harder questions, researchers can let the model spend more time thinking about potential solutions. But common approaches that give LLMs this capability set a fixed computational budget for every problem, regardless of how complex it is. This means the LLM might waste computational resources on simpler questions or be unable to tackle intricate problems that require more reasoning. To address this, MIT researchers developed a smarter way to allocate […]
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Transforming Nordic classrooms through responsible AI partnerships
Schools across Northern Europe are safely and responsibly integrating Google and Gemini for Education tools in the classroom, saving teachers and administrations signifi…
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