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
RESEARCH
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Implementing Dataflow Programs on Cerebras CS-2 Architecture
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Join Leighton at #SC22 for a discussion on using our SDK to implement dataflow programs on the Cerebras architecture. During this event, he will walk through how to map a general matrix-vector product (GEMV) to a Cerebras CS-2, using our fabric simulator. #HPC #SC22
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Quality Data: The Key Challenge for Machine Learning Success
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Promising Trends In #MachineLearning & The Importance Of Quality Data https://
venturebeat.com/ai/why-data-re
mains-the-greatest-challenge-for-machine-learning-projects/
… @pierrepinna @sallyeaves @PawlowskiMario @Xbond49 @gvalan @psb_dc @SpirosMargaris @JimMarous @HaroldSinnott @Shi4Tech @Nicochan33 @ahier #AI #DeepLearning #Fintech #5G #DataScience -
Synthetic Data Models: Privacy and Accuracy Trade-offs
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Models trained on synthetic data can be more accurate than other models in some cases, which could eliminate some privacy, copyright, and ethical concerns from using real data. Provided the quality of the synthetic data quality is good!
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AI Strategists Overwhelmed by Data Management Challenges
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Artificial intelligence strategists are drowning in data https://
technologymagazine.com/articles/artif
icial-intelligence-strategists-are-drowning-in-data
… @TechnologyMagBC @GeorgeHopkin #AI #BigData #Analytics #DataScience #Robots #DeepLearning #100DaysofCode #IoT #serverless #DEVCommunity #womenwhocode #DigitalTransformation #Python #MachineLearning -
Extreme Event Prediction Paradox in Forecasting Accuracy
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“In this paper, we show that an accurate prediction about such an extreme event, e.g., a big hit, may in fact be an indication of poor rather than good forecasting ability.” Paper: https://
papers.ssrn.com/sol3/papers.cf
m?abstract_id=1621800
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Lucky predictions aren’t prophet-like expertise in data analysis
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Everyone should know that the people (whether entrepreneurs or pundits) who correctly predict an extreme event that no one else expected are not prophets. In fact, they are often the WORST at predictions. Rather then being wise, they are often bad at data analysis but got lucky.
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AI Machine Learning Drive Healthcare Innovation with DataRobot
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🧬 By combining health data with #AI and #machine learning, @decodehealthai enables its pharma, diagnostic & tech partners to drive healthcare innovation with DataRobot. Better healthcare decisions, faster.
— DataRobot (@DataRobot) 9 novembre 2022
Learn more ⬇️https://t.co/20ARvj4o2K pic.twitter.com/u2f6AHYy0pBy combining health data with #AI and #machine learning, @decodehealthai enables its pharma, diagnostic & tech partners to drive healthcare innovation with DataRobot. Better healthcare decisions, faster. Learn more https://
datarobot.com/customers/deco
de-health/
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Medical Technology Advancement for Blood Vessel Visualization
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Advancement to help visualize blood vessels#MEDTECH@mvollmer1 @PawlowskiMario @Nicochan33 @antgrasso @MHcommunicate @ChuckDBrooks @HeinzVHoenen @Ronald_vanLoon @rwang0 @kashthefuturist @Hana_ElSayyed @morgfair @TamaraMcCleary @Shi4Tech @enricomolinaripic.twitter.com/RqIcVdr1qB
— Terence Leung (@TerenceLeungSF) 9 novembre 2022Advancement to help visualize blood vessels
#MEDTECH @mvollmer1 @PawlowskiMario @Nicochan33 @antgrasso @MHcommunicate @ChuckDBrooks @HeinzVHoenen @Ronald_vanLoon @rwang0 @kashthefuturist @Hana_ElSayyed @morgfair @TamaraMcCleary @Shi4Tech @enricomolinari -
Replay: AI for the Environment and Data Challenges
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#replay: Conference "AI for the Environment, the Data Challenge" organized by @HubFranceIA https://actuia.com/actualite/replay-conference-lia-au-service-de-lenvironnement-lenjeu-des-donnees-organisee-par-le-hub-france-ia/
… #AI #artificialintelligence #conference #environment