in each one it's just like somebody with domain level expertise not even being mean but like exhaustedly trying to convey the way the world works and he's just like, 'pls silence these loons talking nonsense about how advertisements are hyper-targeted!'
AI
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Micron misses Q3 targets but forecasts growth recovery
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Micron slips as results, outlook miss, sees growth ahead Third quarter of missed expectations, but things improve latter half of this year. // $MU https://
thetechnologyletter.com/the-posts/micr
on-slips-as-results-outlook-miss-sees-growth-ahead
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7-Eleven Uses Computer Vision for Automated Checkout Technology
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7-11 has a computer vision group for their automatic checkout stores
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CEO Predicts Hybrid AI, Model-Driven Business, GPU Demand Rise
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Next year we’ll see the rise of hybrid capabilities, model-driven businesses and the demand for GPUs. Our CEO Nick Elprin is sharing his predictions for 2023 with @BigData_Review
: https://
domino.buzz/3FJkAi7 #datascience -
Web3 Enthusiasts Unite for AGI Debate Montreal
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Thank you Brother Let's invite as many Web3 enthusiasts as possible and make history together! #AGI #AGIDebate #MontrealAI
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ChatGPT Guide: Understanding AI and Professional Applications
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Just published a 5500-word article on ChatGPT, what it is, why it’s important, and how professionals can use it in their daily lives Give it a read here
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ChatGPT milestone debate: AI evolution and comprehension limitations
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The advancement of ChatGPT is a significant milestone in the realm of artificial intelligence, but it is not the beginning of an AI revolution. AI technology has been in the process of evolution for many decades. ChatGPT lacks the capability to comprehend. #AGIDebate #AIDebate
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Modernizing Employee Reskilling for Data-Driven Innovation
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#DataAnalytics are critical for all companies, yet many fail to invest in their people. On @smbtech_au
, @alteryxlibby explains the need to modernize employee reskilling to ensure a #DataDriven and innovative future. Read: https://
bit.ly/3uYjdqU #AnalyticsForAll #AlteryxSparkED -
EHR-Safe Generates Privacy-Preserving Synthetic Electronic Health Records
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Analyzing electronic health records (EHRs) has great potential, e.g. to enhance patient care, but common anonymization methods can decrease the data’s utility. To that end, read how EHR-Safe generates high-fidelity & privacy-preserving synthetic EHR data→ https://
goo.gle/3HZfpxn -
Scalable Chip Architecture for Trillion Parameter ML Training
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“Their design … has made it so that 1 core looks like 1 chip looks like a whole network. ML training with trillion parameter models requires a lot of compute, you need an architecture that operates the same with 1 chip or 1000 chips.” Thanks @IanCutress