Foundations of Large Language Models Tong Xiao, Jingbo Zhu: https://
arxiv.org/abs/2501.09223 #ArtificialIntelligence #DeepLearning #MachineLearning
MACHINE LEARNING
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Foundations of Large Language Models: Xiao Zhu Research
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Foundations of Large Language Models: Key Research
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Foundations of Large Language Models Tong Xiao, Jingbo Zhu: https://
arxiv.org/abs/2501.09223 #ArtificialIntelligence #DeepLearning #MachineLearning -
CVPR 2025 Best Papers Announced Pushing Computer Vision
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CVPR 2025 Best Papers are out!
Huge congratulations to all the winners — your work is pushing the frontier of computer vision! -
Self-Adapting Language Models: Zweiger et al. Research
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Self-Adapting Language Models Zweiger et al.: https://
arxiv.org/abs/2506.10943 #ArtificialIntelligence #DeepLearning #MachineLearning -
Self-Adapting Language Models: New Advances in AI
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Self-Adapting Language Models Zweiger et al.: https://
arxiv.org/abs/2506.10943 #ArtificialIntelligence #DeepLearning #MachineLearning -
DataRobot Named Leader in Gartner Magic Quadrant for ML Platforms
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DataRobot once again named a Leader in the Gartner® Magic Quadrant™ for Data Science and Machine Learning Platforms. Read an unbiased report about our agentic AI platform: https://
bit.ly/4kXi7DQ Link to Gartner® Peer Insights Review: https://
gtnr.it/3ZtgKEr -
Smart Manufacturing Innovation Driving Intelligent Factory Future
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How is @AMC_Motion turning the future of smart factories and intelligent machines into reality today?
— Lucian Fogoros (@fogoros) 13 juin 2025
Hear from Rene Ymzon on the innovations driving #smartmanufacturing.
Watch the full interview! https://t.co/M2X0QSuHVO #AMC_iiot #MotionControls #Manufacturing @IIoT_World pic.twitter.com/N7DFdXfGypHow is @AMC_Motion turning the future of smart factories and intelligent machines into reality today? Hear from Rene Ymzon on the innovations driving #smartmanufacturing. Watch the full interview! https://
buff.ly/h3cofid #AMC_iiot #MotionControls #Manufacturing @IIoT_World -
Cerebras Scaling Laws: Faster Inference for Smarter AI
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AI Scaling Laws from the Cerebras Perspective
A new blog post by our CTO, Sean Lie https://
cerebras.net/blog/the-cereb
ras-scaling-law-faster-inference-is-smarter-ai
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Unsupervised Affordance Distillation for Robotic Manipulation Generalization
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UAD: Unsupervised Affordance Distillation for Generalization in Robotic Manipulation
Paper: https://
arxiv.org/pdf/2506.09284
v1.pdf
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Page: https://
unsup-affordance.github.io
Code: https://
github.com/TangYihe/unsup
-affordance
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UAD: Unsupervised Affordance Distillation for Robot Learning
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UAD (Unsupervised Affordance Distillation) — a powerful new pipeline for learning fine-grained object affordances without any manual labels. It enables robots to understand how to interact with novel objects in open-ended, real-world scenarios. UAD distills implicit knowledge