9. Intelligence API
Use AI to understand and tag your video content, frame by frame. → For smart video search, moderation & content indexing. Free access (within trial credits) http://
cloud.google.com/video-intellig
ence
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MACHINE LEARNING
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Google Video Intelligence API: AI-Powered Frame Video Analysis
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Vertex AI: Google’s Full-Stack ML Platform for Model Training
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8. Vertex AI
Google’s full-stack ML platform for pros & beginners alike. → Train, fine-tune, and deploy large models with low-code support. Free: $300 Google Cloud credits http://
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Better AI in 2025 Powered by Real-Time Data
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Expect Better AI In 2025, Fueled By Real-Time Data
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @fabiomoioli @pascal_bornet @alliekmiller @mattshumer_ @OfficialLoganK @jeremyphoward @GaryMarcus http://
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Neural Networks Learn Regardless of Weight Initialization and Hidden Patterns
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it's crazy to me that neural networks learn ~arbitrarily well regardless of initialization. you can even embed patterns in the weights and learning works fine you could encode an image of your face into the layers of a language model and no one would ever know
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Scaling LLM Inference Compute: Adaptive Branching Tree Search
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Our paper: “Wider or Deeper? Scaling LLM Inference-Time Compute with Adaptive Branching Tree Search”
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China Launches First AI Autonomous Robot Football Tournament in Beijing
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Le premier tournoi de football robotique par intelligence artificielle de Chine débute à Pékin avec des matchs entièrement autonomes. pic.twitter.com/bRzP5LYMn5
— VISION IA (@vision_ia) 1 juillet 2025Le premier tournoi de football robotique par intelligence artificielle de Chine débute à Pékin avec des matchs entièrement autonomes.
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AB-MCTS Search Capability Evaluation with High Pass@k Metrics
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Thanks @fchollet
. Indeed, the experiments used a large Pass@k which allowed us to focus on evaluating the search capability of AB-MCTS, rather than the official evaluation criteria based on k=2. We also used tasks in the public eval. Hopefully we’ll get down to Pass@2 someday! 🙂 -
Sakana AI ARC-AGI-2 Results: Clarification on Test-Time Search Method
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Impressive results from Sakana AI on ARC-AGI-2 with a new method for test-time-search and ensembling!
— François Chollet (@fchollet) 1 juillet 2025
Please be mindful when reporting on this result: the method doesn't actually get 30% on ARC-AGI-2 public eval, since ARC-AGI scores should be computed by checking whether you… https://t.co/By3lUGdrrnImpressive results from Sakana AI on ARC-AGI-2 with a new method for test-time-search and ensembling! Please be mindful when reporting on this result: the method doesn't actually get 30% on ARC-AGI-2 public eval, since ARC-AGI scores should be computed by checking whether you
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Multi-LLM AB-MCTS Combination Outperforms on ARC-AGI-2 Benchmark
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The Multi-LLM AB-MCTS combination of o4-mini + Gemini-2.5-Pro + DeepSeek-R1-0528, current frontier AI models, achieves strong performance on the ARC-AGI-2 benchmark, outperforming individual models by a large margin. Implementation of AB-MCTS on GitHub: https://
github.com/SakanaAI/treeq
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AI Transforming Chemistry: Drug Discovery Breakthroughs at Lindau
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Happening soon! Join the livestream for Lindau Nobel Laureate Meeting on "Artificial Intelligence in Chemistry: How Is AI Changing the Game?" We will discuss the transformative impact of AI technologies in chemistry including groundbreaking applications in drug discovery,