A new bill would help establish a national AI research resource to provide researchers, startups, and academics with compute power and datasets, which could transform the current AI landscape in the U.S.
RESEARCH
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Non-Western Voices Essential for AI Ethics Perspectives
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Fantastic!!! The world desperately needs perspectives on AI and ethics from non-Western voices / expertise. What we’re the papers you / attendees felt most resonated and why? Thanks for this!
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New AI USB Algorithm Raises Ethical Concerns on Resources and IP
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HEY EVERYONE!! I have a new USB outfitted with an algorithm that does (functionality hidden) but it does, unfortunately, use MASSIVE amounts of water, increases racism & robs most humans of their IP. Can I get HUGE amounts of funding & distract all of western media for months?
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TokenSplit: Discrete Token Speech Separation Model at Interspeech
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At 3:30pm today, drop by the #Interspeech2023 Google booth to hear @ScottTWisdom & @HakanErdoganPhD discuss TokenSplit, a speech separation model that uses discrete token sequences representing audio signals & can improve output by using transcripts or separated audio inputs.
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Fighting Wildfire with Artificial Intelligence Technology
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Fighting wildfire with AI | LinkedIn https://
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Facial Emotion Recognition with VGG13 and FER+ Dataset
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🚀Blog-tastic Tuesdays🚀https://t.co/46uGOucL1F
— Satya Mallick (@LearnOpenCV) 22 août 2023
Our research article dives deep into the interdisciplinary nature of Facial Emotion Recognition (FER), bridging Computer Vision, Machine Learning, and Psychology. It explores a custom VGG13 model and the FER+ dataset to create a… pic.twitter.com/hs9Q4aShVqBlog-tastic Tuesdays https://
learnopencv.com/facial-emotion
-recognition/
… Our research article dives deep into the interdisciplinary nature of Facial Emotion Recognition (FER), bridging Computer Vision, Machine Learning, and Psychology. It explores a custom VGG13 model and the FER+ dataset to create a -
Web scraping and model training data integration discussion
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i'll wget your post into my model's training data.
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ChatGPT vs ReST: A New Approach
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ChatGPT was trained using RLHF, while Google, through its DeepMind entity, proposes an alternative approach called ReST—and this could significantly accelerate many processes. Paper link here: https://arxiv.org/pdf/2308.08998.pdf
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Building Systems for ML: Storage, Compilers, and IR Design
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storage systems, compilers, … all will be useful. A talk I gave at Stanford a while back has some material on this (although focuses on building systems in the context of more traditional IR systems rather than ML systems).
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ChatGPT Revolutionizes Healthcare With AI-Powered Clinical Diagnosis
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ChatGPT for Healthcare
— Pascal Bornet (@pascal_bornet) 22 août 2023
When LLMs meet clinical expertise, you get the ultimate AI powered diagnosis and treatment. This can revolutionize the way doctors approach patient care
Credit: Glass AI 2.0 v Gen AI#artificialintelligence #innovation #technology #chatgpt #techforgood pic.twitter.com/GzdUfSIGyCChatGPT for Healthcare When LLMs meet clinical expertise, you get the ultimate AI powered diagnosis and treatment. This can revolutionize the way doctors approach patient care Credit: Glass AI 2.0 v Gen AI
#artificialintelligence #innovation #technology #chatgpt #techforgood