AI Technology & Industry Review
Might there be a more efficient approach to scaling up CNNs to improve accuracy? Researchers from Google AI say “yes” and have proposed a new model scaling method in their ICML 2019 paper EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks.
Researchers from Technische Universität Wien, Austria, and Politecnico di Torino, Italy, explored adversarial attacks on Capsule Networks, proposing an algorithm which automatically generates targeted adversarial examples in black-box attack scenarios.
In a new statement issued late Sunday, the world’s largest technical professional organization the Institute of Electrical and Electronics Engineers (IEEE) announced it is lifting restrictions it had imposed scarcely a week ago on editorial and peer reviews involving employees of Chinese tech communication giant Huawei.
Synced Global AI Weekly June 2nd
Earlier this month restored images of iconic Hong Kong film stars like Bridget Lin and Joey Wong began circulating on Chinese social media. An AI-enabled touch-up process revealed distinct facial contours and features in old and fuzzy or low-res photos, revisiting the comely visages that made the public fall in love with these ’90s stars.
A Google Brain research team led by Turing Award recipient Geoffrey Hinton recently published a paper that presents an effective method for measuring the similarity of representations learned by deep neural networks.
The success of artificial intelligence is built on large corpuses of centralized data collection, but rising concerns over user privacy and data misuse have left many people wary of fully embracing AI on their mobile devices. Google wants to change that.
The new Google AI paper BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding is receiving accolades from across the machine learning community.