We thank @SEMIAmericas for the acknowledgment and are inspired to continue delivering revolutionary innovations for AI.
RESEARCH
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Demis Hassabis Episode: Deep Dive Into AI Leadership
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This episode covers a lot of ground with @demishassabis
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Vector Database Scalability and Relevant Document Ratio Challenges
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Yes but no . This problem also exists with external vector databases as the ratio of relevant-to-irrelevant docs decreases with larger databases. I think the Focused Transformer paper looked into this: https://
arxiv.org/abs/2307.03170 -

Six Predictions on Apple’s Entry into the AI Business Race
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6 Predictions On How Apple Will Join The AI Business Race
#AI #AIio #BigData #ML #NLU #Futureofwork @TunstallAsc @StrategyFintech @TamaraMcCleary @TerenceLeungSF @psb_dc @thomaspower @vinod1975 @ylecun http://
ow.ly/xL6S30sw8Be -
AI Community Convenes Researchers Founders Academics Investors
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For the last 7 years we've convened a diverse community of researchers, founders, operators, academics, and investors at @raais to explore the frontiers of AI research and applications. Communities catalyze opportunity and drive the field forward Official photos link below!
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Appreciation for Testing Performance Across Multiple Cost Indicators
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Very much appreciate papers that test the performance of their approaches across different cost indicators. @giffmana is among the people that does this remarkably well
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Cost Indicators: Understanding Their Meaning and Definitions
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Here are what considered as cost indicators and what they mean. https://
arxiv.org/abs/2110.12894 -

Efficiency Misnomer: Beyond Single Cost Indicators in Model Comparison
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"Efficiency Misnomer" is one of those papers that never gets old. It's hard to compare models from the viewpoint of one single cost indicator(either FLOPs, number of parameters, speed(throughput)). A model that has fewer FLOPs or fewer trainable parameters may still be
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Hugging Face Papers Daily Email Distribution Announcement
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https://
huggingface.co/papers daily email just went out -
Multi-label Medical Imaging Classification with PyTorch and EfficientNetv2
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Blog-tastic Tuesdays https://
learnopencv.com/medical-multi-
label/
… Check out our latest read, where we discuss multi-label classification for medical imaging using PyTorch & Lightning, fine-tune the pre-trained EfficientNetv2 model for accurate diagnostics, and utilize Gradio for intuitive model