MACHINE LEARNING

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Lenovo Brazil Reduces ML Model Creation Time to Three Days

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@datarobot

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12 January 2023 17h34

@Lenovo Brazil was able to bring down the time of #ML model creation from four weeks to just three days using DataRobot. #NRF #NRF2023 https://
datarobot.com/customers/leno
vo/
…

→ View original post on X — @kath0134

AI Glossary Series: Recognition Systems, Computer Vision, ImageNet Explained

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@kath0134

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12 January 2023 16h00

In this @Cognilytica #AIToday #podcast AI Glossary Series episode 'Recognition Systems, Computer Vision, ImageNet' hosts @rschmelzer & @kath0134 define these terms, discuss how they're related, & why it’s important to understand them. Full episode: https://
cognilytica.com/2023/01/11/ai-
today-podcast-ai-glossary-series-recognition-systems-computer-vision-imagenet/?utm_source=dlvr.it&utm_medium=twitter
…
#CV #AI

Carnegie Mellon researchers identify language detection and title generation for posts.

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12 January 2023 15h56

Research done by Jiaqi Geng, Dong Huang, and Fernando De la Torre from @CarnegieMellon Paper:

Qualitative comparison of image-based vs WiFi-based DensePose

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12 January 2023 15h56

Below is a qualitative comparison using synchronized images vs. WiFi signals: (Left column) image-based DensePose (Right column) WiFi-based DensePose

Dense pose estimation from WiFi signal using amplitude and phase clips

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12 January 2023 15h56

The first row illustrates the hardware setup The second and third rows are the clips of amplitude and phase of the input WiFi signal The fourth row contains the dense pose estimation of our algorithm from only(!) the WiFi signal

Full body tracking via WiFi signals with deep learning

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12 January 2023 15h56

Full body tracking now possible using only WiFi signals A deep neural network maps the phase and amplitude of WiFi signals to UV coordinates within 24 human regions The model can estimate the dense pose of multiple subjects by utilizing WiFi signals as the only input

→ View original post on X — @learnopencv

YOLOv8 vs YOLOv5: Comprehensive Comparison Guide

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@learnopencv

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12 January 2023 15h14

🚀Do you want to know how the latest YOLOv8 stacks up against the YOLOv5? Check out our blog post, where we conduct a comprehensive comparison in detection, segmentation, and classification.https://t.co/R2w5UWRYIl #yolo #yolov8 #yolov5 #objectdetection #deeplearning #ai pic.twitter.com/GjOTX03HHo
— Satya Mallick (@LearnOpenCV) 12 janvier 2023

Do you want to know how the latest YOLOv8 stacks up against the YOLOv5? Check out our blog post, where we conduct a comprehensive comparison in detection, segmentation, and classification. https://
learnopencv.com/ultralytics-yo
lov8/
… #yolo #yolov8 #yolov5 #objectdetection #deeplearning #ai

→ View original post on X — @saboo_shubham_

GPT-3 Parameters vs Training Data: Key Distinction

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@saboo_shubham_

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12 January 2023 14h09

Also, it's not the amount of data on which GPT-3 is trained on its the number of parameters. Both are different things!

→ View original post on X — @ingliguori

AI and Big Data Transform Modern Business Intelligence Strategy

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@ingliguori

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12 January 2023 9h20

#AI, advanced #analytics, and #bigdata are key to modern #businessintelligence. Unlock insights, drive strategy, and stay ahead of the competition with these powerful #technologies. By @ingliguori #BI #MachineLearning #DataScience #tech #computerscience #deeplearning #chatbot