An interesting historical note is that neural language models have actually been around for a very long time but noone really cared anywhere near today's extent. LMs were thought of as specific applications, not as mainline research unlocking new general AI paths and capabilities
MACHINE LEARNING
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Earth as Evolution’s Data Center with Biological Processing Units
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The Earth is evolution's data center, and it has trillions of BPUs (biological processing units).
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RAPIDS Platform Accelerates Data Science and AI Efficiency
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Would you like to increase efficiency, streamline development, & achieve more cost-effective data operations in your #AI solution? Join 12/8 and learn how the free @RAPIDSai platform for accelerated data science can help. https://
nvda.ws/3tXGYip #NVIDIAInception #Startups -
Important Research Beyond Simple Model Scaling
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This blog post explains an important research that does not involve more scaling
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AlphaZero Internal Representations Analyzed with Chess Champion
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It was a real honour to closely collaborate with ex-World Chess Champion Vladimir Kramnik on this work, which I think is one of the most thorough analyses yet of the representations and knowledge a complex neural network system like #AlphaZero builds up. Published in PNAS today.
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Argonne’s GPT Model Wins Gordon Bell Prize for COVID Research
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In partnership with @Argonne
, we’ve been awarded the 2022 Gordon Bell Special Prize for HPC Based COVID-19 Research! We trained ANL’s GPT-style models on full Covid-19 genome, holding the entire sequence length (10240 tokens) on a single device. Read more: https://
hubs.li/Q01sCD600 -
Data Cards Playbook: Toolkit for Responsible ML Systems
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Check out The Data Cards Playbook, a self-guided toolkit that promotes practices to improve model and dataset transparency so that teams across organizations can develop responsible ML systems and datasets. Learn more and try out yourself → https://t.co/Zf41cgMReI pic.twitter.com/1ZEA4Jt3qC
— Google AI (@GoogleAI) 17 novembre 2022Check out The Data Cards Playbook, a self-guided toolkit that promotes practices to improve model and dataset transparency so that teams across organizations can develop responsible ML systems and datasets. Learn more and try out yourself → https://
goo.gle/3UJT8qx -
AI Computer Vision Detects Product Defects Perfectly
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From Defect to Perfect! Impact of #AI #ComputerVision #ML #DeepLearning on Quality Great example @MarinerLLC @IntelIoT https://
insight.tech/industry/produ
ct-defect-detection-you-can-count-on-with-mariner-2?utm_source=twitter&utm_medium=organic&utm_campaign=2022-tdc-eaves
… #tech #DigitalTransformation @Shi4Tech #podcast #IntelPartner @insightdottech #ITInfluencer #Product @pierrepinna @SpirosMargaris -
Understanding the Data Science Lifecycle and Its Importance
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Understanding the Data Science Lifecycle (and Why It's Important) #DataScience
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ImageNetX: Human Annotations for AI Vision Model Robustness Analysis
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We’ve released ImageNetX: a set of human annotations for the popular ImageNet benchmark to gauge model robustness strengths/weaknesses — one of the first large scale efforts to pinpoint mistake types in AI computer vision systems. Explore the dataset