prakhar@affmantra.com

Google AI Introduces FLAME Approach: A One-Step Active Learning that Selects the Most Informative Samples for Training and Makes a Model Specialization Super Fast

Open vocabulary object detectors answer text queries with boxes. In remote sensing, zero shot performance drops because classes are fine grained and visual context is unusual. Google Research team proposess FLAME, a one step active learning strategy that rides on a strong open vocabulary detector and adds a tiny refiner that you can train in…

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Introducing Build Mode: TechCrunch’s new podcast for founders 

Disrupt 2025 is just days away, with tickets still available here! And there’s no better time to announce that alongside our flagship event and annual Startup Battlefield 200 competition, we’re launching a brand-new TechCrunch franchise: Build Mode.  Hosted by Startup Battlefield Editor Isabelle Johannessen, Build Mode is a survival guide for early-stage founders navigating the…

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UltraCUA: A Foundation Computer-Use Agents Model that Bridges the Gap between General-Purpose GUI Agents and Specialized API-based Agents

Computer-use agents have been limited to primitives. They click, they type, they scroll. Long action chains amplify grounding errors and waste steps. Apple Researchers introduce UltraCUA, a foundation model that builds an hybrid action space that lets an agent interleave low level GUI actions with high level programmatic tool calls. The model chooses the cheaper…

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A Coding Guide to Build a Fully Functional Multi-Agent Marketplace Using uAgent

In this tutorial, we explore how to build a small yet functional multi-agent system using the uAgents framework. We set up three agents — Directory, Seller, and Buyer — that communicate via well-defined message protocols to simulate a real-world marketplace interaction. We design message schemas, define agent behaviors, and implement request-response cycles to demonstrate discovery,…

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