Check out this great book >> 50 Days of Data Analysis with Python — The Ultimate Challenges Book for Beginners, with Hands-on Challenges using Pandas, NumPy, Matplotlib, Sklearn and Seaborn: http://
amzn.to/3uQfgrR by @RealBenjizo —————
#DataScience #DataScientist
MACHINE LEARNING
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50 Days of Data Analysis with Python Challenge Book
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How Agentic AI Works: Generative AI and Machine Learning
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How #AgenticAI work
by @genamind #GenerativeAI #ArtificialIntelligence #MI #MachineLearning -
Current AI lacks fundamental theory of intelligence
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Current AI is based on the simplest possible theory of intelligence: none. Unfortunately that means it’s 100% hacks.
→ View original post on X — @pmddomingos, 2026-04-04 03:34 UTC
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Read more on alphaxiv.org/abs/2603.14389
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read more:
alphaxiv.org/abs/2603.14389 [Translated from EN to English]→ View original post on X — @askalphaxiv, 2026-04-04 02:27 UTC
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DGPO: Stable Soft-Clipping via Bilateral Decoupled Probability Gradient Decay
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"From log π to π: Taming Divergence in Soft Clipping via Bilateral Decoupled Decay of Probability Gradient Weight" This paper argues that RLVR should optimize probability gradients, not log-probability gradients. So they proposed, DGPO, which applies decoupled decay at the clipping boundaries to preserve exploration while preventing gradient divergence. This results in a more stable soft-clipping objective that consistently outperforms GRPO and prior variants on mathematical reasoning benchmarks.
→ View original post on X — @askalphaxiv, 2026-04-04 02:27 UTC
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Gravity-Defying Robotic Warehouse System with Ceiling and Wall Climbing
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Gravity-Defying #Robotic #Warehouse System: Ceiling- and Wall-Climbing #Automation
— Ronald van Loon (@Ronald_vanLoon) 4 avril 2026
via @ZappyZappy7
#Robot #MachineLearning #ArtificialIntelligence #ML pic.twitter.com/yyNbac6n9BGravity-Defying #Robotic #Warehouse System: Ceiling- and Wall-Climbing #Automation
via @ZappyZappy7 #Robot #MachineLearning #ArtificialIntelligence #ML -
Intelligent Remote Sensing Agents Transform Earth Observation with AI
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What if Earth observation could truly think for itself? A collaborative team from Hong Kong University of Science and Technology, Northwestern Polytechnical University, Tsinghua University, and international partners have released a seminal survey on "Intelligent Remote Sensing Agents." This new paradigm shows how AI agents integrate perception, planning, memory, and tool execution to autonomously achieve complex geospatial understanding. This transforms remote sensing from passive data collection into proactive, intelligent decision support, far surpassing previous capabilities in urban governance, precision agriculture, ecological monitoring, and emergency response. Intelligent Remote Sensing Agents: A Survey Paper: github.com/PolyX-Research/Aw… Repo: github.com/PolyX-Research/Aw… Our report: mp.weixin.qq.com/s/QYAyTjaAa… 📬 #PapersAccepted by Jiqizhixin
→ View original post on X — @jiqizhixin, 2026-04-04 01:40 UTC
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Best Local AI Model: MiniMax_AI Performance
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Best local model? My AI says @MiniMax_AI What do you say?
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Gesture Control Technology Powers Advanced Tentacle Robots
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Mind Over Machine: Gesture Control Brings Tentacle Robots to Life
— Ronald van Loon (@Ronald_vanLoon) 4 avril 2026
by @Fabriziobustama
#Robotics #Engineering #ArtificialIntelligence #Innovation #Technology pic.twitter.com/anPcF7WX2hMind Over Machine: Gesture Control Brings Tentacle Robots to Life
by @Fabriziobustama #Robotics #Engineering #ArtificialIntelligence #Innovation #Technology -
Essential AI Economy Skill: Training Your AI Models
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The most important skill in the AI economy is knowing how to train your AI.
→ View original post on X — @pmddomingos, 2026-04-04 00:08 UTC