Free Your Data: How AI Is Taking People Insights Beyond The Dashboard
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @fabiomoioli @pascal_bornet @alliekmiller @mattshumer_ @OfficialLoganK @jeremyphoward @GaryMarcus
MACHINE LEARNING
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AI Transforms People Insights Beyond Traditional Dashboards
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Cosmos Foundation Models Enable Physical AI for Robotics and Autonomous Systems
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"The “ChatGPT moment” for physical AI is nearly here. 👏
— NVIDIA AI (@NVIDIAAI) 9 janvier 2026
Cosmos open world foundation models understand reality to create and reason about rich synthetic worlds—so self-driving cars and robots can learn from endlessly varied, physics-aware scenarios.
From a single image, 3D… pic.twitter.com/PzICiMNL8o"The “ChatGPT moment” for physical AI is nearly here. Cosmos open world foundation models understand reality to create and reason about rich synthetic worlds—so self-driving cars and robots can learn from endlessly varied, physics-aware scenarios. From a single image, 3D
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AI21 Labs Shares Research on Scaling Agentic SWE-bench Evaluation
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Our Research team just dropped a few behind-the-scenes blogs on scaling agentic SWE-bench evaluation, including the failure modes we hit and what finally worked. I'm curious to hear your thoughts about our work
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Deep Delta Learning: Beyond Standard Residual Blocks
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#PaperADay 2
2026: Deep Delta Learning
https://arxiv.org/abs/2601.00417 The standard residual network blocks are limited to adding on top of the existing state, which limits the expressivity of each layer. It is still a universal approximator, but we can always hope for function blocks -
AI Foundation Model Understands 3D Depth in 360° Panoramas
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What if a single AI could understand the 3D depth of any 360° panorama? Insta360 Research & UCSD present Depth Any Panoramas (DAP), a new foundation model. They built a massive, diverse training set and designed a model that learns robust, real-world distance cues without
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Share insights on LLMs, AI Agents, and Machine Learning
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If you found it insightful, reshare with your network.
— Akshay 🚀 (@akshay_pachaar) 9 janvier 2026
Find me → @akshay_pachaar ✔️
For more insights and tutorials on LLMs, AI Agents, and Machine Learning!https://t.co/NlfbhZZxKkIf you found it insightful, reshare with your network. Find me → @akshay_pachaar For more insights and tutorials on LLMs, AI Agents, and Machine Learning!
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Visual Tokenizers Enhanced: Semantic Objectives Beyond VAE Pixel-Level Accuracy
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VAE-only visual tokenizers has hit a wall for diffusion, as better pixel-level accuracy does NOT lead to higher-quality generation To be truly effective, this MiniMax paper adds semantic objectives via CLIP + self-supervision during tokenizer pretraining, having the latent space
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Understanding Composite AI: Advances in Machine Learning
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What Is Composite AI?
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @timnitgebru @oriolvinyalsml @ceobillionaire @soumithchintala @waitin4agi_ @sallyeaves @bernardmarr -
Designing Benchmarks for Real-World Software Engineering Skills
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Learn how we designed the benchmark to test real-world software engineering skills: Read the full post →
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Snorkel AI Hiring Summer Interns for ML and AI Roles
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We’re hiring Summer Interns at Snorkel AI! If you’re excited about ML, AI systems, and real-world impact, we’d love to hear from you. Check out open roles for more info: https://
job-boards.greenhouse.io/snorkelai