We learned & connected last year— and let’s do it again April 16-19 at SAS Innovate Register to see what SAS customers and partners are doing to help you get the best ROI using SAS across data, analytics, AI & decisioning. http://
2.sas.com/6017Riec3 #SASInnovate #CloudAnalytics
RESEARCH
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SAS Innovate 2026: Analytics, AI and Data ROI Solutions
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DocGraphLM: Document Graph Language Model for Information Extraction
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DocGraphLM: Documental Graph Language Model for Information Extraction Wang et al.: https://
arxiv.org/abs/2401.02823 #ArtificialIntelligence #DeepLearning #MachineLearning -
AI Healthcare Solutions: Overcoming User Adoption Challenges in Rural India
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“Researching and setting up AI solutions is probably the easiest part. The challenge is getting users to follow the recommendations.” @alpanrav
, Chief Scientist, AI/ML at Wadhwani AI recently shared his insights on how AI solutions are revolutionizing rural healthcare in India -
AI and Biology Advance Medicine: Insitro’s Scientific Progress at JPM2024
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Thank you @matthewherper for the insightful coverage of our team's scientific progress, highlighting how #AI and #Biology can advance us towards our mission of bringing better medicines to patients. For more details, watch our presentation tomorrow at #jpm2024! insitro (@insitro) We’re excited to share @matthewherper’s new story in @statnews, which spotlights 3 new research papers posted online describing exciting developments emerging from our #ML platform across our core therapeutic areas. Read more below. #JPM24 — https://nitter.net/insitro/status/1744050261788660126#m
→ View original post on X — @daphnekoller, 2024-01-08 05:16 UTC
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Legal Training Arguments: AI Learning vs Human Learning Comparison
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The legal arguments between “training” and “learning” will be intriguing. I could definitely see a path forward in which the courts allow the training / learning because the AI companies succeed at convincing the judge(s) it’s not really different from humans. But the companies
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AI Learning from Copyrighted Material: Legal Arguments and Implications
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Also not a lawyer, but I’ll be fascinated to see legal arguments for 1) below. The AI learns from copyrighted material like humans (except it can learn more and do it faster), and synthesizes that information to create outputs, also like humans. Should that be illegal?
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DeepCache accelerates SDXL generation to 19 iterations per second
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Faster vanilla SDXL with DeepCache in diffusers is interesting. @lucataco93 has got this up on Replicate: https://
replicate.com/lucataco/sdxl-
deepcache
… 1024×1024 at 25 steps seems to take ~3s on A100 (19it/s). More on DeepCache: https://
huggingface.co/papers/2312.00
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Energy costs and biological systems: beyond genetic fitness optimization
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Biological systems have energy costs per-computation and this didn't "eliminate" all goals other than pure desire for genetic fitness, because the thousand shards of desire weren't extraneous, they were the whole implementation. But even leaving that aside – how much more
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Google DeepMind Presents at NeurIPS 2023 Conference
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Google DeepMind at NeurIPS 2023 https://
zurl.co/3Sa4 @GoogleDeepMind #AI #CES #CES2024 #MWC24 #IoT #5G #FutureOfWork @CES @pierrepinna @gvalan @FrRonconi @Hal_Good @JBarbosaPR @albertogaruccio @AlexMachicado -
Text prediction machinery has cognitive quirks, not ideal simulation
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You should care about weird machinery underlying text predictions that has its own cognitive quirks, not imagine it as an ideal simulacrum plus noise.