The Top 5 Technology Challenges In 2023 When it comes to #technology, rapidly #changing conditions pose unprecedented #challenges that must not be ignored. Learn the top 5 tech challenges companies need to address to #survive and #thrive in #2023. https://
forbes.com/sites/bernardm
arr/2022/11/10/the-top-5-technology-challenges-in-2023/
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MACHINE LEARNING
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Top 5 Technology Challenges Companies Must Address 2023
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Driver Drowsiness Detection System Using MediaPipe
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Ever wondered about the workings of a Driver Drowsy Detection System?
— Satya Mallick (@LearnOpenCV) 10 novembre 2022
In the following blog post we deep dive into what drowsy driving is, how to build an alerting system, and walk-you-through the step-by-step code.https://t.co/1CoW4Km28u#learnopencv #opencv #drowsydriver #ai pic.twitter.com/7GKRo8UHrEEver wondered about the workings of a Driver Drowsy Detection System?
In the following blog post we deep dive into what drowsy driving is, how to build an alerting system, and walk-you-through the step-by-step code. https://
learnopencv.com/driver-drowsin
ess-detection-using-mediapipe-in-python/
… #learnopencv #opencv #drowsydriver #ai -
Sunstone: AI-Powered Customer Recommendation Tool
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Our #CustomerSuccess team partnered w/ in-house data scientists to create tools that enhance how we guide our customers. Explore one of these projects, Sunstone, which helps us customize recommendations across data engineering, analytics, ML & more https://
bit.ly/3Td9DKb -
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 -
Tensorrent showcases AI at SC Conference Dallas booth 3020
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Come find us at SC Conference Series in Dallas, we will be at booth 3020. #SuperComputing #artificialintelligence #machinelearning #tenstorrent https://
sc22.supercomputing.org -
NVIDIA TAO Reduces Manufacturing Defect Detection False Negatives
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NVIDIA Metropolis and #NVIDIAInception partner @covisionquality have created #visionAI software using NVIDIA #TAOToolkit capable of reducing false-negative rates in manufacturing defect detection by up to 90%. Learn more: https://
nvda.ws/3TmMh54 -
Top Technical Recruiter Available for AI and Machine Learning Roles
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One of the best recruiters I know is now a free agent looking for his next gig. How do I know he’s good? He was my recruiter at Amazon If you’re looking for a technical recruiter (especially in artificial intelligence and machine learning), let me know.
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Brad Smith on Going Carbon-Negative with AI Technology
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Brad Smith explains why the world needs to go carbon-negative — and how to get there https://
buff.ly/3Tz7Mjn
#cop27 @microsoft #ai #ArtificialIntelligence #MachineLearning #DeepLearning -
New Algorithm Reduces AI Curiosity Problem With Intrinsic Rewards
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New algorithm overcomes the problem of AI being too “curious,” utilizing intrinsic rewards when they are helpful to save practitioners' time on deciding which algorithm to use on any new task: http://
bit.ly/3fStdhe -
Dataset Curation Strategy for AI Use Cases
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My rule of thumb: If the use-case doesn’t have a ‘right answer’, or is creative, curate small datasets. If the use-case has a ‘right answer’, lots of data is helpful and a moat will persist for a couple of years until models are ridiculously smart. Applies often but not always