With the recent hybrid attention releases from MiniMax, Qwen, Kimi, and NVIDIA, this paper introduces Error-Free Linear Attention that could top them all This new technique has a stable linear-time attention that's better than any linear attention variants and also DeltaNet!
MACHINE LEARNING
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Machine Learning: From Rule-Based AI to Data-Driven Learning
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What is Machine Learning?
— Satya Mallick (@LearnOpenCV) 17 décembre 2025
From rule-based AI to data-driven learning — this video explains how machines learn from data, why traditional rules failed, and how Machine Learning fits into the bigger AI picture.#MachineLearning #ArtificialIntelligence #AIExplained #DeepLearning… pic.twitter.com/euXeOp2rviWhat is Machine Learning?
From rule-based AI to data-driven learning — this video explains how machines learn from data, why traditional rules failed, and how Machine Learning fits into the bigger AI picture. #MachineLearning #ArtificialIntelligence #AIExplained #DeepLearning -
Open source world model? Christmas 2025 is dope!
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Open source world model?
— Robert Scoble (@Scobleizer) 17 décembre 2025
Christmas 2025 is dope! https://t.co/5lB0hOOy8vOpen source world model? Christmas 2025 is dope!
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Does AI Have Imagination? Technical Facts Explained
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Does AI have imagination?
This seems to be the debate my original post has sparked. My take is: yes, but not in the way human beings imagine. I’m presenting the technical facts below. You can arrive at your own conclusion. When people say “AI has no imagination,” they’re -
AI imagination debate: technical nuances and probabilistic generation
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Since this is sparking a debate, and many people are claiming that AI has no imagination – here are some technical nuances. When people say “AI has no imagination,” they’re usually confusing experience with capability. Technically, AI generates stories using probabilistic
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Apple Research Advances Score Distillation for Flow Matching
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Score Distillation of Flow Matching Models – Apple Machine Learning Research The University of Texas at Austin, Apple
Paper: https://
machinelearning.apple.com/research/score
-distillation
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Page:
https://
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Tensor Logic Probability Models GPU Implementation Advances
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Nice work. Couple questions:
1. Tensor logic already incorporates probability and graphical models (Section 4.4. of paper). Is your goal to support nonstandard uncertainty calculi?
2. Efficient GPU implementation via tensor factorizations is part of tensor logic’s design (Section -
L1 Penalty Limitations: Overshooting Zero with Standard Optimizers
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L1 penalty doesn’t actually make truly sparse features with standard optimizers either — it overshoots zero back and forth.
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AI Predictive Analytics Reduces Pediatric Hospital No-Show Rates
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SAS + Pinnacle Solutions = improved pediatric care.🤝
— SAS Software (@SASsoftware) 16 décembre 2025
Children’s Specialized Hospital reduced missed appointments using Pinnacle’s Predictive Health Solutions Patient No-Show Predictor, powered by SAS Viya and hosted on AWS. https://t.co/litERGcYIE pic.twitter.com/tWsfmiH9ObSAS + Pinnacle Solutions = improved pediatric care. Children’s Specialized Hospital reduced missed appointments using Pinnacle’s Predictive Health Solutions Patient No-Show Predictor, powered by SAS Viya and hosted on AWS. http://
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AI Implementation at Major For-Profit Hospital Chain
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How AI is already playing a role at the country's largest for-profit hospital chain
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @HaroldSinnott @fogoros @iainljbrown @NandoDF @katecrawford @drhassanrashidi @YuHelenYu