Google debuts ‘Disco,’ a Gemini-powered tool for making web apps from browser tabs
Google Labs is testing a product that will work with your browser tabs to make web apps for you.
Google Labs is testing a product that will work with your browser tabs to make web apps for you.
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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. […]
Large language models (LLMs) are based on the transformer architecture, a complex deep neural network whose input is a sequence of token embeddings.
Google DeepMind and UK AI Security Institute (AISI) strengthen collaboration on critical AI safety and security research
This article discusses five cutting-edge AutoML techniques and trends that are expected to shape the landscape of highly automated machine learning model building in the 2026 year about to start.
London, UK – February 5-6, 2026 — The third edition of the Digital Assets Forum (DAF), organized by the European Blockchain Convention (EBC), will take place at Convene, 133 Houndsditch, in the heart of London’s financial district. After two sold-out, one-day editions, the forum now expands to two full days, reflecting accelerating institutional adoption and London’s strategic position as Europe’s capital markets hub for digital assets. DAF3 will gather leading figures from asset management, family offices, banks, hedge […]
Dimensionality reduction techniques like PCA work wonderfully when datasets are linearly separable—but they break down the moment nonlinear patterns appear. That’s exactly what happens with datasets such as two moons: PCA flattens the structure and mixes the classes together. Kernel PCA fixes this limitation by mapping the data into a higher-dimensional feature space where nonlinear patterns become linearly separable. In this article, we’ll walk through how Kernel PCA works and use a simple example to visually compare PCA […]
The European Commission is investigating Google over its AI summaries.