HackTheAI's profile picture. News & learning resources: #AugmentedIntelligence #ArtificialIntelliegence #AI #MachineLearning #ML #DataScience #AISecurity #FATML #AIInterpretability

"Hack the AI" - Adam Craven

@HackTheAI

News & learning resources: #AugmentedIntelligence #ArtificialIntelliegence #AI #MachineLearning #ML #DataScience #AISecurity #FATML #AIInterpretability

Goodbye Twitter, you are dead to me. Killing third-party client apps is the last straw. No, I will NOT support this. engadget.com/twitter-new-de…


"Hack the AI" - Adam Craven reposted

New research summary: with better masks & ventilation, & rapid tests, we could halt the outbreaks in NSW and Vic. 1/🧵 fast.ai/2021/09/03/cov…


AI Designs Quantum Physics Experiments Beyond What Any Human Has Conceived - Scientific American scientificamerican.com/article/ai-des…


SO MUCH AI NEWS in the Nvidia GTC 21 Keynote! nvidia.com/en-us/gtc/keyn…


"Hack the AI" - Adam Craven reposted

Presenting DreamerV2, the first world model-based #ReinforcementLearning agent to achieve top-level performance on the Atari benchmark, learning general representations from images to discover successful behaviors in latent space. Read more at goo.gle/3ub8iZe


"Hack the AI" - Adam Craven reposted

Introducing NFNets, a family of image classification models that are: *SOTA on ImageNet (86.5% top-1 w/o extra data) *Up to 8.7x faster to train than EfficientNets to a given accuracy *Normalizer-free (no BatchNorm!) Paper: dpmd.ai/06171 Code: dpmd.ai/nfnets

GoogleDeepMind's tweet image. Introducing NFNets, a family of image classification models that are:

*SOTA on ImageNet (86.5% top-1 w/o extra data)
*Up to 8.7x faster to train than EfficientNets to a given accuracy
*Normalizer-free (no BatchNorm!)

Paper: dpmd.ai/06171
Code: dpmd.ai/nfnets

Apache ECharts - an open source JavaScript visualisation library echarts.apache.org/en/index.html


"Hack the AI" - Adam Craven reposted

We’ve developed two neural networks which have learned by associating text and images. CLIP maps images into categories described in text, and DALL-E creates new images, like this, from text. A step toward systems with deeper understanding of the world. openai.com/multimodal/

OpenAI's tweet image. We’ve developed two neural networks which have learned by associating text and images. CLIP maps images into categories described in text, and DALL-E creates new images, like this, from text. 

A step toward systems with deeper understanding of the world. openai.com/multimodal/

Semantic Scholar - a website that uses AI to summarise AI research papers semanticscholar.org


AI godfather Geoff Hinton: “Deep learning is going to be able to do everything” – MIT Technology Review technologyreview.com/2020/11/03/101…


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