10 Most Popular #MachineLearning Models by @goyalshaliniuk #ArtificialIntelligence #AI #ML #MI
→ View original post on X — @ronald_vanloon, 2026-04-07 01:37 UTC
RESEARCH
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ByteDance Seed Achieves Zero-Shot Sim-to-Real Dexterous Hand Manipulation
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What if robotic hands could learn complex maneuvers purely in simulation and work perfectly in reality? ByteDance Seed just unveiled a breakthrough. Their new RL framework bridges the sim-to-real gap for dexterous hands with a fast virtual tactile simulation, current-to-torque calibration (no extra sensors!), and actuator dynamics modeling with randomization to cover real-world quirks. Result? Policies trained 100% in simulation directly enable a five-finger hand to perform precise, controllable grasp force tracking and object reorientation – a first for zero-shot sim-to-real multi-finger manipulation! Closing the Reality Gap: Zero-Shot Sim-to-Real Deployment for Dexterous Force-Based Grasping and Manipulation Paper: arxiv.org/abs/2601.02778 Project: dexmanip-seed.github.io/dexm… Our report: mp.weixin.qq.com/s/7TQC0sJfw… 📬 #PapersAccepted by Jiqizhixin
→ View original post on X — @jiqizhixin, 2026-04-07 01:35 UTC
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Deep Learning Researchers’ Limited Exposure to Alternative Learning Methods
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One thing about DL researchers that has always been surprising to me, is that a lot of them have never been exposed to forms of learning other than fitting the parameters of a curve via gradient descent, and are even unable to conceive that there might exist other options
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Context Rot Demands Specialization in AI Systems
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prima facie as long as context rot is a thing you are going to need specialization or you're gonna have a bad time
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ICML 2026 announces 44 workshops and 4 affinity workshops
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We're excited to announce the 44 workshops and 4 affinity workshops to be held at #ICML2026! Read the blog post to see what they are, and learn more about the selection process. This year was exceptionally selective, with 247 submissions but only capacity to host 44 workshops
→ View original post on X — @thegautamkamath, 2026-04-06 23:58 UTC
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Zhejiang University Develops Jet-Propelled Flying Humanoid Robots
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Jet-Propelled Humanoids? Zhejiang University Pushes #Robot Flight Forward
— Ronald van Loon (@Ronald_vanLoon) 6 avril 2026
by @XRoboHub#Robotics #EmergingTech #Innovation #Technology pic.twitter.com/xw9XhYVEpwJet-Propelled Humanoids? Zhejiang University Pushes #Robot Flight Forward by @XRoboHub #Robotics #EmergingTech #Innovation #Technology
→ View original post on X — @ronald_vanloon, 2026-04-06 23:16 UTC
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Reasoning Reduces AI Hallucinations: Data Analysis
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I don’t doubt that reasoning has reduced hallucinations but you are putting words in my mouth and ignoring the data 4.6% is not an upper bound, coming from a known benchmark. i am sure under some circumstances the number will prove to be higher.
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Anecdotal Reports vs Scientific Literature: Statistical Significance in AI Research
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because i read the scientific literature ancedotal reports mean almost nothing if the rate is around 5%
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Starving for Intelligence: Massive Compute Constraints Challenge
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We are starving for Intelligence and we are still massively compute constrained.
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Neural Network Expert Disputes AI Model Hallucination Claims
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I am blocking you unless you retract this. I have been working on neural networks for 30 years. A recent survey showed my technical predictions have been over 90% correct. Your own data (ie the data that you pointed) supported my claim that current models still hallucinate.