start asking it to reason from first principles and make the whole system more coherent rather than patching
RESEARCH
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Stanford AI Revolutionizes Schistosomiasis Diagnosis via Satellite
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Imagine wading through rivers 10 hours a day, dissecting "zillions of snails" to track a disease affecting 250M people, mostly kids in Africa. @Stanford scientists used AI to turn local fieldwork into satellite-powered disease mapping for schistosomiasis. hai.stanford.edu/news/how-a-… [Translated from EN to English]
→ View original post on X — @stanfordhai, 2026-03-20 16:36 UTC
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Origami Wheels Enable Shape-Shifting Mobility for Adaptive Robots
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Origami Wheels Enable Shape-Shifting Mobility for Adaptive #Robots
— Ronald van Loon (@Ronald_vanLoon) 20 mars 2026
by @im_Akm1
#EmergingTech #Technology #Innovation pic.twitter.com/Bu0sKPaYe5Origami Wheels Enable Shape-Shifting Mobility for Adaptive #Robots
by @im_Akm1 #EmergingTech #Technology #Innovation -
LLMs vs. Neurosymbolic Approaches: A Performance Comparison
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I *think* what we are seeing here is that if you use a pure LLM breaks down but that if you add a neurosymbolic harness it can do better. but nothing is really published anymore so we don’t really know exactly what is going on.
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Teaching Data Science: The Texas Cows Question Approach
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When I taught a graduate course years ago on data science for scientists, I would ask my students to consider the question, "How many cows are there in the state of Texas?" This was about 20 years ago. I asked my students what they thought would happen if they typed that question
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Helios: Optimizing AI Model Scaling Across Compute and Data
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Helios: Rethinking How AI Models Scale Across Compute and Data
— Satya Mallick (@LearnOpenCV) 20 mars 2026
In this episode of Artificial Intelligence: Papers and Concepts, we explore Helios, a new approach focused on optimizing how large AI models scale across compute, data, and training efficiency. As models continue to… pic.twitter.com/SEbnLE9ssbHelios: Rethinking How AI Models Scale Across Compute and Data In this episode of Artificial Intelligence: Papers and Concepts, we explore Helios, a new approach focused on optimizing how large AI models scale across compute, data, and training efficiency. As models continue to
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Disagreement on methods within the open-source AI community
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you used to be able to start with a launchrock landing page
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YOLO: Revolutionary Shift in Object Detection Technology
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YOLO: A New Era in Object Detection
— Satya Mallick (@LearnOpenCV) 20 mars 2026
Until 2015, object detection was a multi-stage process region proposals, feature extraction, classification. 🌀 Then came YOLO (You Only Look Once), and everything changed.
Instead of scanning thousands of regions, YOLO looked at the entire… pic.twitter.com/TC6G9sfKh7YOLO: A New Era in Object Detection Until 2015, object detection was a multi-stage process region proposals, feature extraction, classification. Then came YOLO (You Only Look Once), and everything changed. Instead of scanning thousands of regions, YOLO looked at the entire
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Robot Prints Building Plans Directly on Floor
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Construction #Robot Prints Building Plans Directly on the Floor
— Ronald van Loon (@Ronald_vanLoon) 20 mars 2026
by @lukas_m_ziegler#Robotics #Engineering #ArtificialIntelligence #Innovation #Technology pic.twitter.com/kZ3sb1feghConstruction #Robot Prints Building Plans Directly on the Floor
by @lukas_m_ziegler #Robotics #Engineering #ArtificialIntelligence #Innovation #Technology -
Top AI Books: Superintelligence and Bestsellers for Career Growth
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“Superintelligence — Paths, Dangers, Strategies” (top selling AI book on Amazon): https://
amzn.to/4uLIsdK See more Artificial Intelligence bestsellers for reading, learning, growing your knowledge, and advancing your career: http://
amzn.to/2YRE6Sj