Artificial Intelligence can see, hear and act by simulating human capabilities but only up to a point. Read more in the @DeltalogiX article > https://
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bit.ly/3pick1U via @antgrasso #DeltalogixAdvisor #AI #CEO
MULTIMODAL AI
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AI Simulates Human Capabilities with Limitations
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How Artificial Intelligence Perceives The Mission District
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What does the Mission look like to an artificial intelligence? – Mission Local Read more here: https://
ift.tt/PBG1jz8 #ArtificialIntelligence #AI #DataScience #100DaysOfCode #Python #MachineLearning #BigData #DeepLearning #NLP #Robots #IoT -
AI generates sports pictures from text prompts
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I asked an #AI to draw me pictures of sports…here are the results 👇 pic.twitter.com/rn9CFIjHq5
— Bernard Marr (@BernardMarr) 12 novembre 2022I asked an #AI to draw me pictures of sports…here are the results
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T5 and CLIP Embeddings: Superior Combined Performance Analysis
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They ablate the embeddings in the paper and found that T5 and CLIP together are superior to either on their own. Not clear just how much difference it makes on text though… Imagen is bigger than SD, hard to disentangle the size from embedding on text. Good hypothesis though!
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Google Releases Universal Video Quality Model Open-Source
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Today we announce the open-source release of the Universal Quality (UVQ) model. Read the blog to learn more, and be sure to check out the model → https://
github.com/google/uvq -
DAAM: Interpreting Stable Diffusion Cross Attention
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What the DAAM: Interpreting Stable Diffusion Using Cross Attention Tang et al.: https://
arxiv.org/abs/2210.04885 #ArtificialIntelligence #DeepLearning #MachineLearning -
AI Dominates TIME’s Best Inventions List for 2022
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0% surprised that @OpenAI Dall-E 2 and @NVIDIA Instant NeRF made it onto the Best Inventions of 2022 list from @TIME
. Artificial intelligence has been its own category on the list since 2020. Expect it to grow. -
Diffusion Models for Audio: Denoising as Subtractive Synthesis
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Always thought diffusion was best suited for audio. Denoising = subtractive synthesis.
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Metaverse Empathy Training Research Shows Promise
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Yes I think shaping in areas like use of the metaverse for empathy training etc is especially interesting, really encouraging research in this area. Great share
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SegCLR: Contrastive Learning for Cellular Morphology Analysis
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Announcing Segmentation-Guided Contrastive Learning of Representations (SegCLR), a method that trains rich, generic representations of cellular morphology and ultrastructure without manual effort and can identify cell types from only small cell fragments→ https://t.co/7Ol91ZAhdx pic.twitter.com/Ff7qCYczxp
— Google AI (@GoogleAI) 9 novembre 2022Announcing Segmentation-Guided Contrastive Learning of Representations (SegCLR), a method that trains rich, generic representations of cellular morphology and ultrastructure without manual effort and can identify cell types from only small cell fragments→ https://
goo.gle/3G2uIEh