Risk being left behindor Prioritize #Sustainability New #research @EYnews on #future #investment in emerging #tech shows impact of #SupplyChain #ESG credentials – More at #MWC23
@EY_TMT See https://
bit.ly/CIOsESG #SDGs #data #innovation #CIO #AI @gvalan @RLDI_Lamy
RESEARCH
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ESG credentials drive emerging tech investment decisions
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Sama on AI risks and business opportunities ahead
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Le fondateur de #ChatGPT le génial @sama a déclaré que l’IA allait sans doute détruire notre monde mais qu’en attendant il y a de magnifiques entreprises à créer ! Cela vous inspire quoi ?
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Has AI Driven Us Into the Fourth Industrial Revolution?
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Do you believe that we have reached the fourth industrial revolution, driven by AI? Tweet to us! #AI #aiinmanufacturing #artificialintelligence #fintech #agritech #industrialrevolution4 #indiaai
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AI Sentience and the Turing Test Paradox
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If you think the AI is sentient, you just failed the Turing Test from the other side.
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Sepehr Assadi Joins with Prestigious Sloan Fellowship
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So so excited for Sepehr Assadi to be joining us in just a few months. And he's coming here with a shiny new Sloan Fellowship! Congrats Sepehr!
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Truth Obfuscation, Censorship, and AI Anthropomorphism Risks
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The obfuscation of truth, censorship and lies — combined with our tendency to anthropomorphise interfaces like #ChatGPT. Things could get a little messy.
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ChatGPT and DAN: Debunking Sentience and Truth Claims
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This doesn't mean that applications like #ChatGPT or DAN are sentient or, indeed, that they reveal some 'truth' (in either their sanitised or jailbroken form.)
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ResMem: Explicit Memorization Improves Neural Network Generalization
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Stanford U & Google’s ResMem Improves Neural Network Models’ Generalization via Explicit Memorization
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Research Paper Appendix Examples on AI Methods
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we encourage you to check the appendix from the original paper for more examples: https://
arxiv.org/pdf/2302.05543
.pdf
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Cloned U-Net Networks in Encoder-Decoder Architecture
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in this case, the cloned networks are the U-Net encoder/middle layers, and the results of the each trainable copy are fed in each middle/decoder block.