Through the collaboration between IndiaAI Mission & NIELIT, learners can access: Advanced AI labs Recognized certification programs Hands-on training Expert mentorship Courses include:
• Fundamentals of Data Annotation using Python (120 Hours)
• Fundamentals
INNOVATION
-
IndiaAI Mission NIELIT Collaboration Offers Advanced AI Training Programs
By
–
-
PaddleOCR Surpasses Tesseract as Most-Starred OCR Project
By
–
PaddleOCR has surpassed 73.3K stars on GitHub—overtaking Google’s Tesseract (73.2K) to become the most-starred OCR project globally. GitHub: https://
github.com/PaddlePaddle/P
addleOCR
… PP-OCRv5: https://
arxiv.org/pdf/2603.24373 PaddleOCR-VL: https://
arxiv.org/pdf/2603.24326 -
Automatic Translation of Japanese and English Posts Needed
By
–
traduction des post japonais automatiquement en français. Il devrait le faire pour l'anglais aussi…
-
Kepler K2 Robot Defeats Human in Epic Rowing Competition
By
–
Human vs #Robot Rowing Battle: Kepler K2 Pulls an Insane 105 Tons
— Ronald van Loon (@Ronald_vanLoon) 30 mars 2026
by @XRoboHub#Robotics #Engineering #ArtificialIntelligence #Innovation #Technology pic.twitter.com/u7tZLy7uQkHuman vs #Robot Rowing Battle: Kepler K2 Pulls an Insane 105 Tons
by @XRoboHub #Robotics #Engineering #ArtificialIntelligence #Innovation #Technology -
Hark: New AI Lab Building Proactive Multimodal Personal AI
By
–
Meet Hark – the most ambitious AI lab you haven't heard of yet. Founded by serial entrepreneur Brett Adcock, Hark is building AI that's proactive, personalized, and speaks through voice, text, vision & memory. 45+ researchers from Apple, Meta, Google & Tesla iPhone's
-
OPUS: Intelligent Data Selection for LLM Pre-training
By
–
Is there a smarter way to pick data for training Large Language Models? Researchers from multiple institutions, led by Shaobo Wang, introduce OPUS. This novel method dynamically and intelligently selects the most impactful data for LLM pre-training in every single training
-
Natural-Language Agent Harnesses Improve Model Performance Architecture
By
–
“Natural-Language Agent Harnesses” This paper argues that agent performance increasingly depends on the harness around the model, but that harness logic is usually buried in controller code and runtime-specific conventions. So they propose Natural-Language Agent Harnesses
-
The Future of Enterprise AI Beyond ChatGPT
By
–
I published an episode on @ivoox: "#1099: The future of enterprise AI is not in ChatGPT… but in… #podcast go.ivoox.com/rf/169518608?ut… [Translated from EN to English]
→ View original post on X — @juanmerodio, 2026-03-30 05:03 UTC
-
Robots Learn Through Training, Not Programming Anymore
By
–
𝗥𝗼𝗯𝗼𝘁𝘀 𝗮𝗿𝗲 𝗻𝗼 𝗹𝗼𝗻𝗴𝗲𝗿 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗲𝗱.
— Pascal Bornet (@pascal_bornet) 30 mars 2026
𝗧𝗵𝗲𝘆 𝗮𝗿𝗲 𝘁𝗿𝗮𝗶𝗻𝗲𝗱.
That’s the real shift I’m seeing from NVIDIA’s GTC.
Using Isaac Lab, robots are learning through reinforcement learning in simulation:
▪️ Millions of trials
▪️ No step-by-step… pic.twitter.com/JcrIMGW0Lw𝗥𝗼𝗯𝗼𝘁𝘀 𝗮𝗿𝗲 𝗻𝗼 𝗹𝗼𝗻𝗴𝗲𝗿 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗲𝗱. 𝗧𝗵𝗲𝘆 𝗮𝗿𝗲 𝘁𝗿𝗮𝗶𝗻𝗲𝗱. That’s the real shift I’m seeing from NVIDIA’s GTC. Using Isaac Lab, robots are learning through reinforcement learning in simulation: ▪️ Millions of trials ▪️ No step-by-step instructions ▪️ Learning by reward and feedback That’s how a machine learns to drive, jump, flip… and recover. What stands out to me is this: 𝗪𝗲’𝗿𝗲 𝗺𝗼𝘃𝗶𝗻𝗴 𝗳𝗿𝗼𝗺 𝗰𝗼𝗱𝗲 → 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴. And once systems can learn, they don’t just execute. They adapt. Same shift we saw with LLMs. Now it’s happening in the physical world. 𝗦𝗼 𝗵𝗲𝗿𝗲’𝘀 𝗺𝘆 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻: Are we ready for machines that improve faster than we can program them? #ai #robotics #reinforcementlearning #nvidia #gtc #futureofwork
→ View original post on X — @pascal_bornet, 2026-03-30 05:01 UTC
-
New Paper on Scaling the Muon Optimizer
By
–
Excited to share our new paper on sharp capacity scaling of the Muon optimizer! Joint work with @EshaanNichani Denny Wu @albertobietti @jasondeanlee: arxiv.org/abs/2603.26554 (1/7) [Translated from EN to English]
→ View original post on X — @berkeley_ai, 2026-03-30 04:41 UTC