Agentic AI has a “Periodic Table.” It includes: LLM, RL, RAG
PLAN, MAS, LTM
SAFE, TEST, HUMAN
A2A, CREW, NET
HR, MKT, LEGAL use cases Autonomous AI = memory + planning + tools + safety + collaboration. It’s an ecosystem, not a feature. Credit: Prem Natarajan #AgenticAI
RESEARCH
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Agentic AI Periodic Table: Memory, Planning, Tools, Safety
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Kirk Borne Offers Over 4600 Free Resources for X Subscribers
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I continue adding more 𝐅𝐑𝐄𝐄 resources for my @X Subscribers to access: 𝗼𝘃𝗲𝗿 𝟰𝟲𝟬𝟬 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝗮𝗿𝗲 𝗻𝗼𝘄 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲. Subscribe for only US$6/month #MachineLearning #ML #AI #DataScience #Python #Mathematics #Statistics #SQL #GenAI #AgenticAI
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Fudan study warns AI agents’ overconfidence risks
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BREAKING: Fudan just proved training AI agents makes them dangerously certain they're right. Wrong environment. Wrong confidence. Silent failures everywhere.
You won't know until something breaks. > Fudan University trained AI agents across 5 different environments web -
Attention Residuals: Novel Architecture for Transformer Models
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Attention Residuals Paper: https://
github.com/MoonshotAI/Att
ention-Residuals/blob/master/Attention_Residuals.pdf
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Code: https://
github.com/MoonshotAI/Att
ention-Residuals
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Attention Residuals: Smart Learned Aggregation in Neural Networks
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Huge! @Kimi_Moonshot presents Attention Residuals (AttnRes)! This new technique replaces fixed accumulation in standard residual connections with smart, learned attention over preceding layer outputs, letting models dynamically aggregate information. Their 'Block AttnRes'
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ELLIS Board: Florence d’Alché-Buc on AI and Data
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👋 Meet the ELLIS Board This episode features Florence d’Alché-Buc, Professor at @telecomparis 🇫🇷 and ELLIS Board Member. She shares her views on data vs. algorithms, causality, foundation models, and how AI systems should be evaluated. Watch the video: piped.video/kgLCpIUEwiY
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Resilient AI Challenge: Building Smarter, Efficient AI Models
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The future of AI isn’t just about building bigger models — it’s about building smarter and more efficient ones. The Resilient AI Challenge, launched by the Governments of India and France with UNESCO, is a key outcome of the Resilience, Innovation & Efficiency working group at
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IndiaAI Innovation Challenge Webinar Addresses Governance Questions
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Have questions about the IndiaAI Innovation Challenge for Transforming Governance? We’ve got you covered. To support innovators and applicants, the IndiaAI Innovation Challenge for Transforming Governance hosted a dedicated webinar to address key queries and guide participants
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India AI Impact Expo 2026 Showcases 850+ AI Exhibitors Globally
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With the India AI Impact Summit 2026 attracting global praise for its landmark conclusion, the India AI Impact Expo 2026 emerged as one of the largest global showcases of artificial intelligence in action.
— IndiaAI (@OfficialINDIAai) 16 mars 2026
With 850+ exhibitors across 10 thematic pavilions, the Expo brought… pic.twitter.com/dEMEOk8Np8With the India AI Impact Summit 2026 attracting global praise for its landmark conclusion, the India AI Impact Expo 2026 emerged as one of the largest global showcases of artificial intelligence in action. With 850+ exhibitors across 10 thematic pavilions, the Expo brought
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Deformable Part Models: Flexible Object Detection Breakthrough
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📌 The Rise of Deformable Part Models in Object Detection
— Satya Mallick (@LearnOpenCV) 16 mars 2026
Imagine trying to detect a person walking 👣. Their arms move, legs bend, head turns – rigid detectors couldn’t handle this flexibility. In 2008, researchers introduced Deformable Part Models (DPM), a breakthrough that… pic.twitter.com/6diFdj9a2gThe Rise of Deformable Part Models in Object Detection Imagine trying to detect a person walking . Their arms move, legs bend, head turns – rigid detectors couldn’t handle this flexibility. In 2008, researchers introduced Deformable Part Models (DPM), a breakthrough that