every single data analyst right now https://t.co/FqoyXwV0Lv pic.twitter.com/L3tUNBR6MZ
— Charly Wargnier (@DataChaz) 21 avril 2026
every single data analyst right now
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every single data analyst right now https://t.co/FqoyXwV0Lv pic.twitter.com/L3tUNBR6MZ
— Charly Wargnier (@DataChaz) 21 avril 2026
every single data analyst right now

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Boston Dynamics’ Spot Masters Whole-Body Manipulation — Using AI to Drag, Roll, and Stack 15 kg Tires with Precision
— Ronald van Loon (@Ronald_vanLoon) 21 avril 2026
by @rai_inst#Robotics #Engineering #ArtificialIntelligence #Innovation #Technology pic.twitter.com/yDuIm45GmD
Boston Dynamics’ Spot Masters Whole-Body Manipulation — Using AI to Drag, Roll, and Stack 15 kg Tires with Precision
by @rai_inst #Robotics #Engineering #ArtificialIntelligence #Innovation #Technology

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People see ChatGPT.
But AI is much bigger: ML, DL, Neural Networks, CV, NLP, Predictive Analytics, Speech Recognition, Agentic AI — the full iceberg beneath the surface. Great visual. Credit in image. #AI #ML #DeepLearning #Tech #Innovation
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The scaling-laws-as-one-thing conflation is everywhere, good to see someone finally breaking it out properly.
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Love this work from Aksel and the post-training team at Hugging Face!
— Thomas Wolf (@Thom_Wolf) 21 avril 2026
Turns out the HF ecosystem (papers, datasets, models all accessible through CLI, skills and md files) is perfect for running SOTA ML agents: agents that can train any type of AI model to top performance.
A… https://t.co/uakFTU5oD0
Love this work from Aksel and the post-training team at Hugging Face! Turns out the HF ecosystem (papers, datasets, models all accessible through CLI, skills and md files) is perfect for running SOTA ML agents: agents that can train any type of AI model to top performance. A

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Why predictive asset maintenance as the starting point? It's common across industries and easy to measure: downtime and asset availability. The architecture scales to other use cases from there. Partner content with @HighByteInc. #highbyte_iiot #Hm26 pic.twitter.com/yYbos2HaIa
— Lucian Fogoros (@fogoros) 21 avril 2026
Why predictive asset maintenance as the starting point? It's common across industries and easy to measure: downtime and asset availability. The architecture scales to other use cases from there. Partner content with @HighByteInc
. #highbyte_iiot #Hm26
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Incredible progress in 1 year. This is the trajectory with tech – speed of change vs humans. We don’t develop as fast vs AI & robotics advances. https://t.co/2QsxscttNh
— AI (@DeepLearn007) 21 avril 2026
Incredible progress in 1 year. This is the trajectory with tech – speed of change vs humans. We don’t develop as fast vs AI & robotics advances.

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Apple hardware has been an unqualified success for Apple over the past decade+. The whole software stack, however, is lagging significantly behind. We are only scratching the surface of what Apple devices can deliver, especially on the AI/ML front. It will be interesting to see

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What if a single AI could teach any robot hand to grasp any object? Researchers from the National University of Singapore and Zhejiang University present T(R,O) Grasp. Their new method uses a "graph diffusion" model to learn the spatial relationship between a hand and an

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Leverage #AI for Enhanced Traceability and Transparency in the #SupplyChain
by @antgrasso #Logistics #MachineLearning #ArtificialIntelligence #ML #DL