Good callout! Wording could definitely be tighter (and I'm by no means an expert here, just going off of my best understanding). My main point here is that AI is better at things that can be taught and copied than at novel idea generation, and I think that stands.
MACHINE LEARNING
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Excitement for 2023 Language AI Research and Team Achievements
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Delighted to see the work from our team (chain-of-thought prompting, emergent abilities, self-consistency, med-palm) featured here, and super excited for language AI research to continue in 2023!
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MIT App Inventor Foundation Launches CS and AI Education Initiative
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We’re launching App Inventor Foundation, a new #nonprofit focused on CS+AI education and outreach, to amplify world-class research from @MITAppInventor into real-world impact! More details below https://
appinventorfoundation.org (1/N) -
Predibase Honored as Top Impact Big Data Company
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Starting the year off with a bang Thank you @insideBigData for including @predibase as an honorable mention on IMPACT 50 Most Impactful #BigData Companies! https://
insidebigdata.com/2023/01/17/the
-insidebigdata-impact-50-list-for-q1-2023/
… #ML #MachineLearning #DeepLearning -
ML Education Framework and AI Tools for K-12 Students
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I stayed @MITAppInventor for my Masters, where I used #Redis to develop cloud data tools for K-12 education. I enjoyed my research so much that I applied for a PhD, where I created a framework for #ML education and developed edtech tools for kids to explore #AI. (6/7)
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IBM Cloud Pak for Data Express Drives Business Competitive Advantage
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IBM Cloud Pak for Data Express gives enterprises a competitive advantage by quickly leveraging modern data solutions to drive business outcomes. Discover how, here: https://
ibm.co/3iUerIl
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#IBM #datamanagement #AI #ETL #MLOps #CloudPakForData -
Google AI Research 2022: Language Models and Generative AI
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Excited to share the first of a series of @GoogleAI blog posts summarizing our research work from 2022. This covers language & multimodal models, computer vision, and generative models. We'll have ~7 posts covering other areas over next few weeks! https://
ai.googleblog.com/2023/01/google
-research-2022-beyond-language.html
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Google Research 2023: Computer Vision, Language and Generative Models
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We’re kicking off 2023 with a series of blog posts that look back at some of the many new and exciting developments coming out of Google Research. Check out our first post from @JeffDean
, about computer vision, language, multimodal, and generative models! https://
goo.gle/3CWSrU1 -
Matrix Multiplication Complexity: Practical Limitations Beyond O(n2.37)
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Respecto a la complejidad computacional, el record actual de O(n2.37286) no se ha superado, pero tampoco es relevante porque es un valor asociado a técnicas que sólo se aplican a matrices muy grandes, que no se ajustan a la mayoría de casos prácticos reales. En el paper dicen
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AlphaTensor Achieves Optimized Matrix Operations Across Multiple Sizes
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Esta tabla que sale en el vídeo es la que muestra cómo AlphaTensor para diferentes tamaños de matrices encuentra resultados que igualan o mejoran el número de operaciones.