Level 3: Conditional automation
Can take full control over the vehicle in SOME situations. So capable and safe you’re allowed to take your eyes off the road.
MACHINE LEARNING
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Level 3 Conditional Automation: Partial Vehicle Control Without Driver Monitoring
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Level 1 Basic Driver Assistance Features and Vehicle Control
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Level 1: Basic Driver assistance
Vehicle assist with steering or acceleration/deceleration. Stuff like cruise control and lane keep support. -
LUFFY: Off-Policy Reasoning for Zero-Shot Reinforcement Learning
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Learning to Reason under Off-Policy Guidance This paper presents LUFFY (Learning to reason Under oFF-policY guidance), a framework that improves zero-shot reinforcement learning (zero-RL) by incorporating off-policy reasoning traces alongside on-policy exploration, enabling
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ReDi Framework Improves Image Generation via Joint Feature Synthesis
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Boosting Generative Image Modeling via Joint Image-Feature Synthesis This paper introduces ReDi, a new framework that jointly models low-level VAE latents and high-level semantic features within the diffusion process, significantly improving image generation quality and training
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MongoDB Atlas GraphRAG Integration for Enhanced LLM Reasoning
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MongoDB Atlas GraphRAG MongoDB Atlas just launched a GraphRAG integration that combines knowledge graphs with LLMs, automatically creating graphs from documents for smarter retrieval and multi-hop reasoning with 2x better accuracy. Build better AI apps with GraphRAG Link
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Paper2Code: Automating Code Generation from Scientific Papers
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Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning Seo et al.: https://
arxiv.org/abs/2504.17192 #ArtificialIntelligence #DeepLearning #MachineLearning -
DeepSeek R2 Leaks: 97% Cost Reduction and Ascend 910B Clusters
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DES INFOS FUITENT SUR DEEPSEEK R2 ! Deepseek R2 réduit ses coûts unitaires de 97,3 % et s'apprête à être lancé (rumeur). Utilise un cadre d'entraînement distribué développé en interne Atteint 82 % d'utilisation sur les clusters de puces Ascend 910B Délivre 512 pétaflops en
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Subscribe to AI Engineering Weekly Tutorials on ML and LLMs
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If you're interested in ML, LLMs, RAG, and AI Agents and want to receive tutorials every week, subscribe to AI Engineering (for free): http://
aiengineering.beehiiv.com/subscribe If you found it useful, reshare this tweet with your network. -
Genie 2: Foundation World Model for Embodied Agent Training
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Join Jack Parker-Holder & Philip Ball today at 5PM at the #ICLR2025 Google booth to discuss Genie 2, a foundation world model that can generate an endless variety of action-controllable, playable 3D environments for training & evaluating embodied agents. https://t.co/xPsrqa6j3s pic.twitter.com/5uioM3ejRy
— Google AI (@GoogleAI) 26 avril 2025Join Jack Parker-Holder & Philip Ball today at 5PM at the #ICLR2025 Google booth to discuss Genie 2, a foundation world model that can generate an endless variety of action-controllable, playable 3D environments for training & evaluating embodied agents. https://
deepmind.google/discover/blog/
genie-2-a-large-scale-foundation-world-model/
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Karl Popper AI and Automation of Scientific Discovery at ICLR2025
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Love the analogy of The AI Scientist being an example of “Karl Popper AI” Happy that more people are excited about open-endedness, world models, and automation of discovery from @_rockt
’s fantastic talk at #ICLR2025