At the core of the AI agent is the integration of the open-source Python library from Browser Use. This library empowers the agent to perform a variety of tasks by simulating browser actions. Whether it’s navigating to a restaurant’s website to book a table or accessing the CRM to track customer engagements, Browser Use provides the necessary tools for the agent to interact with web resources effectively. - Source: dev.to / 24 days ago

Have you looked at Browser Use? https://browser-use.com/. - Source: Hacker News / 2 months ago

Hey HN, we’re Gregor and Magnus, the founders of browser-use (https://browser-use.com/) and we have what is the biggest open-source community for browser agents. And now we have a cloud offering—hence our Launch HN today! Check out this video to see it in action: https://preview.screen.studio/share/r1h4DuAk. There are lots more demos at https://github.com/browser-use/browser-use) and have since been addressing... - Source: Hacker News / 2 months ago

Google's Gemini 2.5 Pro Experimental (Exp) represents a significant advancement in artificial intelligence, offering enhanced reasoning capabilities and multimodal processing. This article provides a comprehensive overview of Gemini 2.5 Pro Exp, detailing how to access it, its key features, and its diverse applications. - Source: dev.to / about 1 month ago

One of the newest and most intriguing technologies emerging from the tech giant is Veo 2, an advanced video-editing and content creation tool powered by AI. In this article, we will explore what Google’s Veo 2 is, how to access it, how to use it effectively, and provide some real-world examples of its application.Google’s continuous innovation in artificial intelligence and machine learning has resulted in the... - Source: dev.to / about 1 month ago

Maybe you should bard Deep mind sometime... Let me google that for you https://deepmind.google/... Source: over 1 year ago

Our team is led by Elon Musk, CEO of Tesla and SpaceX. We have previously worked at DeepMind, OpenAI, Google Research, Microsoft Research, Tesla, and the University of Toronto. Collectively we contributed some of the most widely used methods in the field, in particular the Adam optimizer, Batch Normalization, Layer Normalization, and the discovery of adversarial examples. We further introduced innovative... Source: almost 2 years ago