RESEARCH

→ View original post on X — @catherineadenle

AI Transforms Healthcare: Patient Outcomes and Clinical Efficiency

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@catherineadenle

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03 November 2023 11h09

Beyond The Hype: Four Ways #ArtificialIntelligence Is Transforming #Healthcare. From improving patient outcomes and easing clinicians’ workloads to advancing clinical trials and predicting supply shortages, #AI is smarter and faster. https://
bit.ly/3QJ0ivK

→ View original post on X — @bernardmarr

Generative AI Mindset: Andrew McAfee Discusses Transformation

By

@bernardmarr

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03 November 2023 10h21

Don't miss my #livestream at 12 noon today – Generative AI and The mindset needed to fully embrace it. Twitter > https://
lnkd.in/ehrXiUW I am joined by MIT's Andrew McAfee to discuss the transformative power of #Generative #AI and his brand new book 'The Geek Way'.

→ View original post on X — @catherineadenle

Cloud Transformation Impact on Data Science Practices

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@catherineadenle

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03 November 2023 8h49

How the Cloud Is Changing Data Science https://
hbr.org/2023/11/how-th
e-cloud-is-changing-data-science
… #DataScience #Data #Bigdata #Analytics #Python #javascript #Programming #MachineLearning #innovation #coding #IoT #TensorFlow #CyberSecurity #Cloud #NLP

→ View original post on X — @alexjc

Stable Diffusion Fine-tuning Copyright Dataset Concerns

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@alexjc

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03 November 2023 8h31

You're fine-tuning SD, right? You're aware that Samivel is in the original datasets too, yes? Why are you trying to avoid Copyrighted images on the fine-tune only? Might as well own it…

→ View original post on X — @alexjc

AI Model Training Data Requirements and Generalization

By

@alexjc

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03 November 2023 8h15

> No Samivel data was used in the training. I can't tell if you're joking… What are the chances of it "just knowing" without training data?

AI Image Captioning Tool for Emotional Salient Features Analysis

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03 November 2023 7h28

We also offer a captioning method to convert images into sentences describing emotionally salient features related to face, body, pose, human interactions, activity and environment. Social scientists might be interested in our manual annotation interface

Emotional AI: Fast Slow Emotion Recognition Vision Models

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03 November 2023 7h28

Captioning interface
Arxiv: https://
arxiv.org/abs/2309.13136
Project: https://
rosielab.github.io/emotion-captio
ns/
… Emotions Fast and Slow Arxiv: https://
arxiv.org/abs/2310.19995
Project: https://
rosielab.github.io/Fast-and-Slow/

CLIP and LLaVA Struggle with Contextual Image Interpretation

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03 November 2023 7h28

In this example, we believe CLIP sees the "surprised cat pose" and predicts doubt, surprise and fear, ignoring context. Oddly, LLaVA has also gone a bit far, inferring the person in this image is experiencing sadness because it's their last ski trip of the season.

Multimodal AI Shows Promise for Emotion Recognition Beyond Zero-Shot Methods

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03 November 2023 7h28

Overall, these zero shot methods do not perform nearly as well humans nor models tuned on the training data from EMOTIC (Emotions in Context). But there appears to be promise in linking vision with language to account for both affective and cognitive empathy