Planning your next move? Check out what these top innovators say you should look for in your next job. #MLOps
MACHINE LEARNING
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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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AI-Assisted Diagnostics: The Future of Cancer Detection
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#AI Assisted Diagnostics: The Future of Cancer Detection via @insightdottech https://
insight.tech/health/ai-assi
sted-diagnostics-the-future-of-cancer-detection?utm_source=twitter&utm_medium=organic&utm_campaign=2022-tdc-sinnott
… #Health #HealthTech #MachineLearning #AI #IoT #5G #CES2023 #ITinfluencer #IntelPartner @Inteliot @DeepLearn007 @sminaev2015 @Innov_Medicine @vlamers @LEAD_Coalition @_atanas_ -
AI Generates Trippy Shakespeare Play Illustrations
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Trippy Shakespeare Art!
Behold Illustrations of Every Shakespeare Play Created by Artificial Intelligence https://
buff.ly/3trAIyM
#ai #ArtificialIntelligence #machinelearning #deeplearning #art -
Federated Learning: Training ML Models While Protecting User Privacy
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While most #ML models are trained by collecting data on a central server, federated learning makes it possible to train models without any user's raw data leaving their device. Check out the latest AI Explorable on how federated learning protects privacy→ https://t.co/5hDzyWomiO pic.twitter.com/xwd4xrn4Wi
— Google AI (@GoogleAI) 11 novembre 2022While most #ML models are trained by collecting data on a central server, federated learning makes it possible to train models without any user's raw data leaving their device. Check out the latest AI Explorable on how federated learning protects privacy→ https://
pair.withgoogle.com/explorables/fe
derated-learning/
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Expressing and Recognizing Intentions in Robots
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Expressing and Recognizing Intentions in Robots https://
techxplore.com/news/2022-09-i
ntentions-robots.html
… @ASMEdotorg @3DSNorthAmerica @Dassault3DS @cyngn @MargaretSiegien @Cindybolt61 @fogoros @DrFerdowsi @CRudinschi @PawlowskiMario @IIoT_World @MEngineeringMag #Engineering #Robots #Automation #AI #Manufacturing -
Learn the Architecture of a Data Pipeline
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Learn the Architecture of a Data Pipeline: This article was published as a part of the Data Science Blogathon. Introduction Controlling the flow of information from a source to a destination system, such as a data warehouse, is an integral part of any… https://
analyticsvidhya.com/blog/2022/10/l
earn-the-architecture-of-a-data-pipeline/?utm_source=dlvr.it&utm_medium=twitter
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Large-scale metabolite study reveals human metabolic pathway patterns
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A simplified map of human metabolic pathways 😉
And a new study of over 900 metabolites assessed in ~20,000 people @NatureMedicine https://
nature.com/articles/s4159
1-022-02046-0
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Building Machine Learning Systems: Complete Components Overview
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Building machine learning systems is hard. Some of the components you need: 1. Data sources
2. Data pipelines
3. Feature stores
4. Model training
5. Model evaluation
6. Model deployment
7. Model monitoring
8. Predictions API At @abacusai we help you with this! -
ML in Production: Beyond Notebooks to Deployment Challenges
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Machine learning is hard, there's no doubt about that But Machine learning in production is much harder than ML in notebooks. Developing the ML pipeline to deployment and then maintaining consistent quality prediction building a retraining pipeline becomes more complicated…