Platform and Model Design for Responsible AI — Design and build resilient, private, fair, and transparent machine learning models: http://
amzn.to/3PToSvP
RESEARCH
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Platform and Model Design for Responsible AI Systems
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Machine Learning and Artificial Intelligence: Concepts, Algorithms and Models
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Machine Learning and Artificial Intelligence: Concepts, Algorithms and Models Available at http://
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Classic Text on Outlier Detection in Temporal Data Streams
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Classic text on Outlier Detection in Temporal Data: http://
amzn.to/2NZ64cQ … including financial, business, medical, credit, sensor network (IoT / IIoT) time series data streams, plus spatiotemporal data, network data, etc. -
Analytical Skills for AI and Data Science in Enterprise
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Analytical Skills for AI and Data Science — Building Skills for an AI-Driven Enterprise: http://
amzn.to/4b6fufu …helps practitioners to create value from AI and data science using an analytical skillset — each chapter illustrates how each skill works across a collection of use -
Learn Probability Through Problems with Exercises and Solutions
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Learn Probability Through Problems (exercises, hints, and solutions provided): http://
amzn.to/3vZed8W
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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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Brain Computer Interfaces Report and Analysis
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Sorry. https://
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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