198 articles
Google has released Gemini 3.0, with early testers calling it the strongest model they've evaluated so far. The update raises competitive pressure across the advanced AI model landscape.
Google's Gemini 2.5 posted a 39-minute result on the METR benchmark, falling short of the performance curve set by leading AI models. Early projections suggest Gemini 3 might reach around 2.7 hours.
ChatGPT is climbing fast in the search game, and brands are scrambling to keep up. A new chart shows it could surpass Google by 2027, forcing companies to rethink how they get found online.
Google (GOOGL) has launched its AI Flight Deals tool globally, covering over 200 countries and 60+ languages. The expansion comes as Expedia (EXPE) and Booking Holdings (BKNG) shares declined during the trading session.
Google DeepMind rolled out WeatherNext 2, an AI-powered weather forecasting system that's significantly faster and more precise than its predecessor. The model generates hundreds of weather scenarios in under 60 seconds and is now integrated with Earth Engine, BigQuery, and available through early access on Vertex AI.
Google is building an Agent Import feature for Gemini Enterprise that'll let companies plug external agents into their multi-agent setups. The update also includes an evaluation tool, scheduled runs, and fresh connectors.
New WSJ commentary highlights how rapid AI investment is weakening Big Tech balance sheets. S&P Capital IQ and FactSet charts show falling cash ratios and rising capital expenditures at Amazon, Microsoft and Alphabet.
Similarweb data reveals dramatic traffic growth across Google's AI platforms in October 2025, with Labs.google jumping nearly 4,000% year-over-year and strong gains across Gemini, AI Studio, and other properties.
Berkshire Hathaway purchased over 17.8 million shares of Alphabet, according to new commentary. The move coincides with a pullback toward the $260 area, where GOOGL holds a key technical gap.
Google Colab can now run natively inside Microsoft's VS Code, letting developers connect notebooks to Colab's GPU and TPU compute directly from the IDE. The integration streamlines AI and machine-learning workflows significantly.
Google is launching a major AI shopping update featuring AI Mode, Gemini-powered gift suggestions, automated store calling, and deal tracking with Google Pay—all designed to streamline product search, comparison, and purchasing ahead of the holiday season.
Google Research launched JAX-Privacy 1.0, a library designed to make differentially private machine learning easier on the high-performance JAX framework. The release aims to help researchers and developers combine cutting-edge privacy algorithms with JAX's scalability.
Google introduces Private AI Compute — a Gemini-powered framework that processes AI requests in the cloud while guaranteeing end-to-end privacy, making user data inaccessible even to Google itself.
Google faces a federal lawsuit claiming its Gemini AI was secretly deployed across Gmail, Chat, and Meet to collect user data without permission, potentially violating California privacy laws.
New projections show Google, Meta, and Amazon tightening their grip on U.S. advertising as AI drives engagement and ad precision to new heights.
Google's AI-powered search is gaining serious momentum, now reaching over 75 million daily active users while the company's search revenue continues hitting new records.
Google Cloud and Kaggle have launched a free five-day generative AI course, inviting over 1 million learners to build production-ready AI agents and compete in a capstone challenge.
Google released its "Introduction to Agents" white paper, providing a foundational guide to agent-based AI systems while policymakers consider tax proposals that could impact the AI industry.
Google has launched DS-STAR, an advanced AI agent that automates data science workflows and handles messy, multi-file datasets with unprecedented accuracy, achieving top benchmarks in real-world data analysis tasks.
Google Research launched Nested Learning, an AI framework that lets models learn continuously without forgetting past knowledge. Their Hope model shows strong improvements in handling long contexts and maintaining memory.
We use cookies to improve your experience on our site and to show you relevant advertising. To find our more, read our privacy policy and cookie policy
Peter Smith
Usman Salis
Eseandre Mordi
Alex Dudov
Marina Lyubimova
Saad Ullah
