3 Takeaways to Guide Your AI Strategy
#AI #AIio #BigData #ML #NLU #Futureofwork @TopCyberNews @SpirosMargaris @MarshaCollier @MHiesboeck
@MHcommunicate @Fisher85M @MikeQuindazzi @NealSchaffer
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MACHINE LEARNING
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Three Key Takeaways for Developing Your AI Strategy
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Concept Decomposition for Visual Exploration Using Vision-Language Models
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Concept Decomposition for Visual Exploration and Inspiration
— AK (@_akhaliq) 31 mai 2023
propose a method to decompose a visual concept, represented as a set of images, into different visual aspects encoded in a hierarchical tree structure. We utilize large vision-language models and their rich latent… pic.twitter.com/J5OduSX7CGConcept Decomposition for Visual Exploration and Inspiration propose a method to decompose a visual concept, represented as a set of images, into different visual aspects encoded in a hierarchical tree structure. We utilize large vision-language models and their rich latent
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Generative AI Enhances Personalized Healthcare Through Wearable Technology
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How Generative AI Can Improve Personalized Healthcare With Wearable Devices
#AI #AIio #BigData #ML #NLU #Futureofwork @IIoT_World @ipfconline1 @jblefevre60 @JimMarous @insurtechtalk @KirkDBorne @kuriharan @LouisSerge http://
ow.ly/ieon30svtpY -

AI Decision-Making Under Uncertainty: DataRobot Learning
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“We are constantly seeking to implement the learnings from our customers at DataRobot, and modeling under uncertainty is undoubtedly a very important capability that we are exploring.” Learn how to use #AI to help make decisions under uncertainty in our latest technical blog.
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India’s Generative AI and Machine Learning Policy Initiative
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@SilverneedleV @_DigitalIndia @GoI_MeitY @NeGD_GoI @nasscom #GenerativeAI #machinelearning #INDIAai
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Driverless Race Car Wins with AI Digital Twins Simulation
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Watch this Driverless Race Car hit the track at @IndyAChallenge
! The TUM Autonomous Motorsport used digital twins and simulation to win the world’s first high-speed self-driving car race #ModelBasedDesign #DigitalTwins #AutonomousVehiclesDay -

Three Force Multipliers for Digital Transformation
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3 force multipliers for #DigitalTransformation https://
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VisorGPT: Learning Visual Prior via Generative Pre-Training
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VisorGPT: Learning Visual Prior via Generative Pre-Training
— AK (@_akhaliq) 31 mai 2023
propose to learn Visual prior via Generative Pre-Training, dubbed VisorGPT. By discretizing visual locations of objects, e.g., bounding boxes, human pose, and instance masks, into sequences, our~can model visual prior… pic.twitter.com/xj84MvpE14VisorGPT: Learning Visual Prior via Generative Pre-Training propose to learn Visual prior via Generative Pre-Training, dubbed VisorGPT. By discretizing visual locations of objects, e.g., bounding boxes, human pose, and instance masks, into sequences, our~can model visual prior
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LibriTTS-R: Restored Multi-Speaker Text-to-Speech Dataset
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LibriTTS-R: A Restored Multi-Speaker Text-to-Speech Corpus paper introduces a new speech dataset called “LibriTTS-R'' designed for text-to-speech (TTS) use. It is derived by applying speech restoration to the LibriTTS corpus, which consists of 585 hours of speech data at 24 kHz
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Geometric Algebra Transformers: A New Architecture for Geometric Data
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Geometric Algebra Transformers introduce the Geometric Algebra Transformer (GATr), a general-purpose architecture for geometric data. GATr represents inputs, outputs, and hidden states in the projective geometric algebra, which offers an efficient 16-dimensional vector space