Big win for OpenAI: Noam Shazeer joins OAI. Noam Shazeer, one of the authors of the seminal paper 'Attention is All You Need' that introduced the Transformer architecture at the origin of modern LLMs, now joins OpenAI.
RESEARCH
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LabGeni partners with LG Chem for AI-driven tumor-targeting antibodies
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more @airstreet news! @labgeni_us partners with korea's largest chemicals company lg chem to develop tumor-targeting antibodies using their ai-driven platform
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PhysX-Omni generates simulation-ready 3D objects from descriptions
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What if creating 3D assets for simulation was as simple as describing them? NTU and ACE Robotics present PhysX-Omni: a unified system that generates simulation-ready rigid, deformable, and articulated objects. It uses a new efficient geometry representation for vision-language
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PhoneWorld: Automating Mock Apps for Phone Agent Training
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What if you could scale phone-use agent training without hand-building every environment? Tencent Hunyuan and collaborators present PhoneWorld: a pipeline that automatically turns real screenshots and user interactions into controllable mock apps, executable tasks, and
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AuroraGPT: generalizable foundation-scale LLM for scientific discovery
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AuroraGPT – Built by Scars of Frontline The theory is nothing. AuroraGPT advances scientific discovery by building generalizable, foundation-scale large-language models across multiple scientific domains, including physics, chemistry, mathematics, and material sciences. In a
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Great Learning: History of Machine Learning
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Great Learning! History of Machine Learning. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/History-of-ML -
History of Artificial Intelligence
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History of AI! #BigData #Analytics #DataScience #AI #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/History-of-A-I -
Arctic-Text2SQL-R1-32B achieves 72.20 on Bird benchmark
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Bird (BIg Bench for LaRge-Scale Database Grounded Text-to-SQL Evaluation) 72.20!
Arctic-Text2SQL-R1-32B
Snowflake AI Research
Size: 32B
Self Consistency: Few
Dev: 72.20
Test: 73.84 #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python -
Variable-Width Transformers: Wide at Start and End, Narrow in the Middle
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This article shows that width should be allocated unevenly, with models wide at the beginning and end but narrow in the middle. Thus, the bottleneck forces better use of representations instead of wasting the
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Temporal Difference Vision: Visual Learning with Fewer Inductive Biases
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Paper review:
You Don’t Need Strong Assumptions: Visual Representation Learning via Temporal Differences https://
temporal-difference-vision.github.io https://
temporal-difference-vision.github.io/static/pdfs/td
v.pdf
… @AlexiGlad @ninaddaithankar The premise is that the more data you can use, the fewer inductive biases you should have.