Machine learning doesn’t just optimize performance — it optimizes toward whatever we choose to measure. That’s why preventing metric gaming isn’t a side issue. It’s core to responsible AI and ML deployment at enterprise scale. Governance, incentives, and system design have to
MACHINE LEARNING
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AI-Powered Robots Transform Search-and-Rescue Operations with Real-Time Mapping
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This is where AI + IoT + #robotics become mission-critical. Robots that understand their environment don’t just move faster, they save lives. MIT just unveiled a breakthrough that lets search-and-rescue robots rapidly map large, unpredictable spaces in real time.
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SIPDO: AI that auto-discovers and fixes its own instruction errors
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What if your AI could automatically hunt for its own mistakes and fix its instructions in a continuous loop? Researchers from UIUC, HKUST, USF, and http://
Starc.Institute introduce SIPDO to do exactly that. Instead of relying on a fixed set of data, SIPDO uses a feedback loop -
Biological brain simulation runs in physics engine
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Holy shit.. This isn't a simulation mimicking a fly. It's a biological brain, copied neuron-by-neuron from electron microscopy, running inside a physics engine and generating behavior on its own. 125,000 neurons. 50 million synaptic connections. Multiple naturalistic
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Honey I Tiled the Tensors: Tensor Optimization in AI
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Honey, I Tiled the Tensors https://
buff.ly/BuWCbBD
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Machine Translation for Vision Challenge at CVPR 2026 MAPS Workshop
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Come participate in the Machine Translation for Vision Challenge! The winners will be announced at our MAPS workshop (sites.google.com/corp/view/m…) at CVPR 2026! MAPS – CVPR 2026 Workshop (@maps_cvpr) Introducing the Machine Translation for Vision (MTV) Challenge at #CVPR2026! Can your model localize (culturally adapt) images — not just translate text, but reimagine visuals for different cultures? 🌍 — https://nitter.net/maps_cvpr/status/2031031324211843212#m
→ View original post on X — @hugo_larochelle, 2026-03-09 15:50 UTC
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All AI detectors are a scam and don’t work
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All AI detectors are a scam. IT DOESN'T WORK. STOP USING IT.
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Databricks KARL: Multi-Task RL for Enterprise Search Agents
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New research from Databricks. It's about training enterprise search agents via RL. KARL introduces a multi-task RL approach where agents are trained across heterogeneous search behaviors, constraint-driven entity search, cross-document synthesis, and tabular reasoning. It
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Criteo Advances Deep Tabular Learning with 360K Inferences
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@criteo is pushing the boundaries of deep tabular learning with 360K inferences per second per GPU. Join this session to discover how they operate a massive real-time bidding and recommendation platform by leveraging high-performance inference at scale. Date: Wednesday,
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Andrej Karpathy releases Autoresearch for autonomous ML experimentation
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Wow. @karpathy just open-sourced 'Autoresearch' AI that trains AI, on loop. 100 ML experiments overnight over a single GPU! Written, run, and iterated by an agent. Your only job: maintain a single Markdown file: ✦ What to explore
✦ What to prioritize
✦ What tradeoffs