#Data has become one of today's most important business assets, and #datascience enables us to turn this data into value. In the field, we see fast evolutions and new advances, especially in #artificialintelligence and #machinelearning. https://
linkedin.com/pulse/top-5-da
ta-science-analytics-trends-2023-bernard-marr
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RESEARCH
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Data Science and Machine Learning Transform Business Value
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Top 5 Technology Challenges Companies Must Address 2023
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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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Randomized Controlled Trial Results Methodology Discussion
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I dunno, the paper is a randomized controlled trial, and reports a ton of different results. Given the methodology, I am not seeing why the underlined sections make it a "yawn."
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Getting AI Right Requires Proper Talent and Strategic Focus
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Getting it right with #AI is more complex than it seems #AI is not magic. It will deliver true value only if you spend the appropriate amount of time with the relevant talents on the proper activities Credit: A. Scherpenberg
#artificialintelligence #data #datascience -
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 -
Novel Stencil Algorithm Exploits Cerebras Wafer-Scale Engine
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Stencil computations lie at the heart of many scientific and industrial applications. Join Mathias Jacquelin, member of our kernel team, at #SC22 as he discusses his research on a novel stencil algorithm that effectively exploits the second-generation Cerebras Wafer-Scale Engine.
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Groq and Argonne Panel on AI Accelerators for Scientific Computing
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Join us for a panel with @argonne on programming new AI accelerators for scientific computing. Hear from Victoria Godsoe, Manager of CX Engineering, about recent advances at @GroqInc
. @Supercomputing #HPC #AI #SuperComputing #HPCaccelerates #SCinet #SCInclusivity -
University of Waterloo Algorithms Complexity Group Seeking Postdocs
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The University of Waterloo Algorithms & Complexity group is searching for postdocs! Please see instructions here: https://
algcomp.uwaterloo.ca/positions/. Deadline is December 10! -
AI-Equipped Drones Track Endangered Black Rhinos in Namibia
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Check out our AI podcast and discover how a team of researchers has proposed harnessing high-flying AI-equipped drones powered to track the endangered black rhino through the wilds of Namibia: https://
nvda.ws/3Um1N2z -
How Insilico Medicine Uses AI to Accelerate Drug Development
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How Insilico Medicine Uses #AI To Accelerate Drug Development https://
forbes.com/sites/calumcha
ce/2022/11/09/how-insilico-medicine-uses-ai-to-accelerate-drug-development/
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