AI - AI Dynamics

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AI Warriors Drive Sustainable Solutions for Net Zero Goals

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@officialindiaai

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05 June 2023 7h10

This #WorldEnvironmentDay, we dig deep into how some AI warriors are helping us embrace a sustainable tomorrow with their innovative AI-backed solutions. India too has made its commitment to achieving ‘net zero’ emissions by 2070 at the COP 26 climate action summit.

→ View original post on X — @pascal_bornet

Workplace Naps: Global Adoption for Worker Wellness

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@pascal_bornet

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05 June 2023 6h33

Office lunch naps are common in several countries in Asia. They are also recommended by physicians
Do you think we should see more of this around the world?#futureofwork pic.twitter.com/eNJbYov6nF
— Pascal Bornet (@pascal_bornet) 5 juin 2023

Office lunch naps are common in several countries in Asia. They are also recommended by physicians
Do you think we should see more of this around the world? #futureofwork

Mona Lisa Extended with Photoshop AI Technology

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05 June 2023 6h22

Mona Lisa extended with Photoshop AI pic.twitter.com/a0QpjcEVSl
— AK (@_akhaliq) 5 juin 2023

Mona Lisa extended with Photoshop AI

→ View original post on X — @vinod1975

Neuro Enhanced Intelligence: AI as Tool, Not Replacement

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@vinod1975

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05 June 2023 6h07

Obsolete, NI has to overcome AI and use AI as a tool … How, When and What I don't have answers today but AI should never overtake NI. So future is Neuro Enhanced NI

→ View original post on X — @aibreakfast

Alan Turing and the origin of the artificial intelligence test

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@aibreakfast

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05 June 2023 6h07

Alan Turing wrote "Computer Machinery and Intelligence" 73 years ago. The Turing Test, wherein a computer attempts to trick a person into thinking it is speaking to another human, originated here. This was 6 years before the phrase "Artificial Intelligence" was coined.

DaTaSeg: Universal Multi-Dataset Multi-Task Segmentation Model

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05 June 2023 5h58

DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model paper page: https://
huggingface.co/papers/2306.01
736
… Observing the close relationship among panoptic, semantic and instance segmentation tasks, we propose to train a universal multi-dataset multi-task segmentation model:

HQ-SAM: High Quality Segment Anything Model

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05 June 2023 5h46

Segment Anything in High Quality

paper page: https://t.co/IG4IAN4a4V

propose HQ-SAM, equipping SAM with the ability to accurately segment any object, while maintaining SAM's original promptable design, efficiency, and zero-shot generalizability. Our careful design reuses and… pic.twitter.com/6xG0FES7hv
— AK (@_akhaliq) 5 juin 2023

Segment Anything in High Quality paper page: https://
huggingface.co/papers/2306.01
567
… propose HQ-SAM, equipping SAM with the ability to accurately segment any object, while maintaining SAM's original promptable design, efficiency, and zero-shot generalizability. Our careful design reuses and

Fine-Grained Human Feedback Improves Language Model Reward Training

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05 June 2023 5h41

Fine-Grained Human Feedback Gives Better Rewards for Language Model Training paper page: https://
huggingface.co/papers/2306.01
693
… use fine-grained human feedback (e.g., which sentence is false, which sub-sentence is irrelevant) as an explicit training signal. We introduce Fine-Grained RLHF, a

Large Language Models for Private Synthetic Text Generation

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05 June 2023 5h19

Harnessing large-language models to generate private synthetic text paper page: https://
huggingface.co/papers/2306.01
684
… Differentially private (DP) training methods like DP-SGD can protect sensitive training data by ensuring that ML models will not reveal private information. An alternative