Could Regulation of AI Be on the Horizon?
#AI #AIio #BigData #ML #NLU #Futureofwork @gp_pulipaka @stratorob @PetiotEric @EvanKirstel @Fgraillot @HaroldSinnott @HeinzVHoenen @helene_wpli http://
ow.ly/Z3xZ30svHUg
MACHINE LEARNING
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Regulation of AI: Emerging Horizon and Future Implications
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Claude Shannon’s Information Theory: 75 Years of Impact
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Over 75 years ago Claude Shannon ushered in the field of information theory with his paper "A Mathematical Theory of Communication", which has been cited over 100,000 times: http://
bit.ly/2H0ZxvR Image v/
@hackaday -
Understanding DeepMind’s Sorting Algorithm
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Understanding DeepMind's Sorting Algorithm https://
bit.ly/3NALIEU #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Artificial Intelligence’s Potential Impact on Commercial Real Estate
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Artificial Intelligence’s Potential Impact on the Commercial Real Estate Industry
#AI #AIio #BigData #ML #NLU #Futureofwork @CRudinschi @AntonioSelas @alexjc @RobotLaunch @karpathy @andyjankowski @bobgourley @CadeMetz http://
ow.ly/6QkL30svHSN -
Transformer Neural Network Graphics as Therapeutic Practice
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The highest form of therapy is reproducing the transformer neural network graphic 😀
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Compute Optimal Fine-Tuning Experiments: Peer-Reviewed Guides
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Any guide/ resources for designing compute optimal experiments? Modality doesn't matter, essentially looking for a peer-reviewed way of running compute optimal, knockout style fine-tuning experiments.
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GAIA-1: Generative AI Model for Autonomous Driving Videos
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GAIA-1: A Cutting-Edge Generative AI Model for Autonomy
— AK (@_akhaliq) 18 juin 2023
blog: https://t.co/xcK2YNl4Vu
GAIA-1 is a new generative AI model for autonomy that creates realistic driving videos by leveraging video, text and action inputs. It offers fine-grained control over ego-vehicle behaviour… pic.twitter.com/H8RR0ZxaQJGAIA-1: A Cutting-Edge Generative AI Model for Autonomy blog: https://
wayve.ai/thinking/intro
ducing-gaia1/
… GAIA-1 is a new generative AI model for autonomy that creates realistic driving videos by leveraging video, text and action inputs. It offers fine-grained control over ego-vehicle behaviour -
VideoComposer: Controllable Motion Video Synthesis Models Released
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VideoComposer: Compositional Video Synthesis
— AK (@_akhaliq) 17 juin 2023
with Motion Controllability models are out!
paper page: https://t.co/jb0kyDGCVH
github: https://t.co/GARo57U90t
The pursuit of controllability as a higher standard of visual content creation has yielded remarkable progress in… pic.twitter.com/7RFfNJq3TVComposer: Compositional Synthesis
with Motion Controllability models are out! paper page: https://
huggingface.co/papers/2306.02
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github: https://
github.com/damo-vilab/vid
eocomposer
… The pursuit of controllability as a higher standard of visual content creation has yielded remarkable progress in -
Linguistic Binding in Diffusion Models for Better Attribute Correspondence
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Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment paper page: https://
huggingface.co/papers/2306.08
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demo: https://
huggingface.co/spaces/Royir/S
ynGen
… Text-conditioned image generation models often generate incorrect associations between entities and their -
Comprehensive Survey on Transformer Applications Across Multiple Deep Learning Domains
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A Comprehensive Survey on Applications of Transformers for Deep Learning Tasks A great survey paper that provides a comprehensive analysis of highly influential transformer-based models in top five application domains: NLP, Computer Vision, Multi-Modality, Audio and Speech