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Evaluating Multimodal Vision Models with Moonshot PerceptionBench Using Robust Data Loading and Automated Judging

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In this tutorial, we design an end-to-end evaluation workflow for PerceptionBench. This multimodal benchmark measures fine-grained visual perception capabilities across tasks such as OCR, counting, localization, contextual reasoning, comparison, depth understanding, and hallucination detection. We begin by configuring a Colab-compatible environment, installing the required libraries, and loading a balanced subset of the dataset through a […]

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US company’s AI lets Ukraine’s cheap kamikaze drones track targets on their own

ai, AI (Artificial Intelligence), AI & Machine Learning, AI & ML, AI & Society, AI 2025 trends

Ukrainian drone operators have destroyed many Russian armored vehicles on the ground and even military helicopters in midair using $400 Shrike drones with explosive payloads. Now thousands of such drones are getting upgraded with an AI system capable of autonomously tracking and homing in on moving targets. In mid-July, the Ukrainian military began receiving Shrike

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How to Secure AI Agents, MCP Servers, and LLM Apps in Production

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Agents, MCP integrations, and LLM-powered applications are entering codebases faster than most security programs can track them. Mend.io’s new practitioner guide, ‘Securing AI agents, MCP servers & LLM apps: A practical framework’, targets that gap. It is organized around three moves: see what matters, fix what matters faster, protect AI in production and ships seven

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An AI-supervised remote exam went so badly that 58,000 students must retake it

ai, AI (Artificial Intelligence), AI & Machine Learning, AI & ML, AI & Society, AI 2025 trends

Earlier this summer, nearly 160,000 applicants took the entrance exam for UNAM, Mexico’s largest university. For the first time, they did it completely remotely, using a “lockdown” browser and AI-powered webcam proctoring software, over several weeks from late May through early June. It was a disaster. When exam results came in, they bore little resemblance

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Alexander Rakhlin named director of the MIT Statistics and Data Science Center

ai, AI (Artificial Intelligence), Alumni/ae, Artificial Intelligence, Brain and cognitive sciences, Computer science and technology, Electrical engineering and computer science (EECS), Faculty, IDSS, Leadership, Machine Learning, MIT Schwarzman College of Computing, School of Engineering, School of Science, Statistics

Alexander “Sasha” Rakhlin PhD ’06, the Distinguished Professor in Data, Systems, and Society at the MIT Institute for Data, Systems, and Society (IDSS); and a professor of brain and cognitive sciences at MIT, has been named the next director of the MIT Statistics and Data Science Center (SDSC). Rakhlin succeeds Ankur Moitra, the Norbert Wiener Professor of Mathematics,

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