The fact that we're able to do everything as part of the TF graph is really nice — Python slowness is never an issue. There's no need for us to rewrite anything in, like, Cython or Rust.
MACHINE LEARNING
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Keras Preprocessing Layers: High-Performance In-Graph Implementation
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All the work is done in Keras preprocessing layers, which are implemented in TF ops (everything is 100% in-graph!) so it's highly performant. During training (presumably on GPU/TPU) you'd use async preprocessing in TF data to avoid CPU preprocessing being a bottleneck.
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Top Innovators Share What to Look for in MLOps Jobs
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Planning your next move? Check out what these top innovators say you should look for in your next job. #MLOps
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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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