RESEARCH

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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/
…

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ChatGPT’s Cognitive Conflict: Updated Information vs Limited Behavior

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@dotcsv

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12 January 2023 16h33

Madre mía tremenda esquizofrenia le están generando al pobre ChatGPT teniendo que operar en su "cabeza" con la información actualizada vs su comportamiento limitado!

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ChatGPT Updates Training Data While Limiting Knowledge Disclosure

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@dotcsv

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12 January 2023 16h24

¡OJO! ChatGPT en sus recientes actualizaciones sigue incorporando nuevos datos en sus entrenamientos, aunque luego su política de comportamiento le haga mentirnos respecto los límites de sus conocimientos

→ 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