On May 18, Ernesto Bonomi will speak about GroqChip™ advantages and use in the development of HPC applications from research to industry . #AI #DataAnalysis #HPC https://
dinfo.unifi.it/index.php?modu
le=CMpro&func=viewpage&pageid=263
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RESEARCH
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Ernesto Bonomi présente GroqChip pour applications HPC
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Proposed IGN-Style Scoring System for AI Models
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– theory of mind
– tribal tests for intelligence and reasoning
– GK
– and a bunch of other vibes Basically an IGN score for models? -
AI in Indian Medicine and Pharmacy Digital Transformation Initiative
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@jeevprabnivash @EricTopol @_DigitalIndia @nasscom @GoI_MeitY @NeGD_GoI #ArtificialIntelligence #aiinmedicine #MachineLearning #Pharmacy #digital #INDIAai
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IFOP-Talan Survey: French People and Generative AI
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"French People and Generative AI", the #survey @IfopMediaNum – @talan_fr https://actuia.com/actualite/les-francais-et-les-ia-generatives-le-sondage-ifop-talan/ … #AI #artificialintelligence
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Machine Learning Improves Pharmaceutical Manufacturing Efficiency
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In a recent development in the pharmaceutical industry, a research team used machine learning and physics to improve pharmaceutical pill & powder manufacturing processes. Tap to learn more about how this will improve efficiency & accuracy in the field: https://
rb.gy/wow45 -
Neural Networks Expert ≠ Domain Expert: Gradient Descent and Art
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We turn to neural networks when we have no idea what the rules of some domain are. Being an expert at optimising gradient descent =/= being an expert at oil painting art even though 1. might produce 2.
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Build Rapidly and Gain Experience in This Unpredictable AI Era
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Build as much shit as possible and earn muscle memory. This is all too new, nobody knows anything. Nobody predicted lots of what is happening, even folks working at OpenAI.
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Separating AI Model Development from Practical Application Skills
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Ultimately knowledge of the microwave doesn’t make you a good cook, similarly I don’t think there aren’t any gen AI experts yet. We must really separate the model making and model using.
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Three Categories of GenAI Experts and Their Perspectives
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Interesting to see three very interesting ways people analyse “experts” in GenAI: – people who worked on the models themselves
– people who have worked with digital tech that AI replaces (artists, coders)
– people who have spent most amount of time with chatGPT and the likes -

Data Scientists Benchmark Models Against Abacus AI Engine
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#DataScientists can now evaluate & benchmark your models (#ComputerVision, #NLProc, #TimeSeries) against those created by the @abacusai #AI engine. Check it out here: https://
abacus.ai/humanchallenger ————
#BigData #DataScience #DeepLearning #MLOps #ML #MachineLearning #NeuralNetworks