How can a robot map a room full of moving people? Researchers from ETH Zurich & Microsoft present DROID-W, a new vision system that tackles dynamic scenes. It uses "uncertainty-aware" adjustment, meaning it spots moving pixels by checking for visual inconsistencies across
MACHINE LEARNING
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Distributed Energy Fleets Self-Optimize With AI Edge Orchestration
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The future everyone's working toward – distributed energy fleets that self-optimize with minimal human intervention – depends on getting data normalization, semantic context, and edge orchestration right first. Partner content with @IOTechSystems. #iotechsys_iiot pic.twitter.com/vV5TgDHzxJ
— Lucian Fogoros (@fogoros) 18 avril 2026The future everyone's working toward – distributed energy fleets that self-optimize with minimal human intervention – depends on getting data normalization, semantic context, and edge orchestration right first. Partner content with @IOTechSystems
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Industrial Analytics Projects Fail Due to Data Preparation Challenges
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Industrial analytics projects have a 70% failure rate, often because the data preparation phase takes longer than expected and delivers poor quality datasets.
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Manufacturing AI Needs Operational Context for Meaningful Results
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Most AI models trained on raw manufacturing data produce useless results because they lack operational context about normal vs abnormal conditions.
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Manufacturing AI Needs Contextualized Data for Industrial Analytics
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Manufacturing AI needs contextualized data, not raw sensor streams.
— Lucian Fogoros (@fogoros) 18 avril 2026
DataHub Intelligence solves the context problem that kills most industrial analytics projects.
The missing link between OT data and AI insights. Partner content with @HighbyteInc. #highbyte_iiot pic.twitter.com/Miw3QMC36BManufacturing AI needs contextualized data, not raw sensor streams.
DataHub Intelligence solves the context problem that kills most industrial analytics projects.
The missing link between OT data and AI insights. Partner content with @HighbyteInc
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Competing Neural Networks Evolve in Digital Petri Dish Ecosystem
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What happens when you put competing neural networks in a Petri Dish and start changing the rules while they adapt?
— Sakana AI (@SakanaAILabs) 18 avril 2026
Last year we released Petri Dish NCA, where neural nets are the organisms that learn during simulation. Today we're releasing Digital Ecosystems: a browser-based… pic.twitter.com/9UeAQ2mX1dWhat happens when you put competing neural networks in a Petri Dish and start changing the rules while they adapt? Last year we released Petri Dish NCA, where neural nets are the organisms that learn during simulation. Today we're releasing Digital Ecosystems: a browser-based
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JAX Framework Attracts Top AI Talent and Candidates
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JAX is the framework of choice of great candidates.
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PyTorch vs JAX: Key Indicator of Deep Learning Candidate Quality
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When looking at deep learning profiles, one of the most obvious tells between a mediocre and great candidate is whether they list PyTorch or JAX.
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HexRunner Achieves Stable 30 MPH Autonomous Locomotion
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Designing for Speed: How HexRunner Achieved Stable 30 MPH Locomotion
— Ronald van Loon (@Ronald_vanLoon) 18 avril 2026
by @lukas_m_ziegler#EmergingTech #Engineering #ArtificialIntelligence #Innovation #Technology pic.twitter.com/H7rdP5DNTVDesigning for Speed: How HexRunner Achieved Stable 30 MPH Locomotion
by @lukas_m_ziegler #EmergingTech #Engineering #ArtificialIntelligence #Innovation #Technology -
Multimodal Tactile Fusion Advances Physical Robot Intelligence
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What if a robot's sense of touch could be fused with sight and language to create true physical intelligence? Researchers from HKUST, Xi'an Jiaotong University, and others present a comprehensive survey on Multimodal Tactile Fusion. They detail methods that combine touch data