Generative Data Intelligence

Tag: ImageNet

MIT study finds ‘systematic’ labeling errors in popular AI benchmark datasets

Want more company growth? Build a better company culture. Learn how building an employee-first culture determines...

Early Experience with GPT-3 Large Language Model Points to Uncertainty 

By John P. Desmond, AI Trends Editor  Since OpenAI announced last June that users could request access to the GPT-3 API, a machine...

Machine learning devs, rejoice: You can now rent up to 16 Nvidia A100 GPUs on a single machine via Google

In brief AI proto-boffins can now rent up to 16 GPUs, the largest amount on any single virtual machine currently available, via Google...

AI Image Synthesis: What The Future Holds

@[email protected] writer on AI, machine learning and big data.Originally published at Ross Dawson.Shortly after the new year 2021, the Media Synthesis community at...

Why machine learning struggles with causality

Is AI getting used responsibly in health care? AI is poised to impact health care dramatically,...

ImageNet creators find blurring faces for privacy has a ‘minimal impact on accuracy’

The power of audio From podcasts to Clubhouse, branded audio is more important than ever. Learn...

DeepMind’s AlphaFold & the Protein Folding Problem

DeepMind’s AlphaFold & the Protein Folding Problem = Previous post Next post =>    Tags: AI, Biology, DeepMind, Protein ...

8 Women in AI Who Are Striving to Humanize the World

8 Women in AI Who Are Striving to Humanize the World = Previous post Next post =>    Tags: AI,...

Facebook uses one billion Instagram photos to build massive object-recognition AI that partly trained itself

Facebook has trained its most advanced semi-supervised computer vision system yet on a dataset of a billion public images taken from Instagram, its...

Multimodal deep learning approach for event detection in sports using Amazon SageMaker

Have you ever thought about how artificial intelligence could be used to detect events during live sports broadcasts? With machine learning (ML) techniques,...

Multimodal Neurons in Artificial Neural Networks

We’ve discovered neurons in CLIP that respond to the same concept whether presented literally, symbolically, or conceptually. This may explain CLIP's accuracy in...

Facebook’s new computer vision model achieves state-of-the-art performance by learning from random images

Join Transform 2021 for the most important themes in enterprise AI & Data. Learn more. Facebook today announced an AI model trained on...

Latest Intelligence

spot_img
spot_img
spot_img

Chat with us

Hi there! How can I help you?