Black-box adversarial reprogramming can repurpose neural networks for new tasks without having full access to the deep learning model.

Researchers at DeepMind propose a new technique that automatically discovers a reinforcement learning algorithm from scratch.

Researchers wired up 30 participants to brain-reading tech to see if they could collectively teach a computer to learn. Welcome to the world of brainsourcing.

Many computational properties are maximized when the dynamics of a network are at a 'critical point," a state where systems can quickly change their overall characteristics in fundamental ways, transitioning ...

Researchers have developed a mechanical way to stimulate neurons using magnetic nanodiscs that can be activated by an external magnetic field, providing a research tool for studying neural responses.

To answer medical questions that can be applied to a wide patient population, machine learning models rely on large, diverse datasets from a variety of institutions. However, health systems and hospitals ...

Tuesday, July 21, 2020 at 11:00 AM Eastern Daylight Time.

The International Conference on Machine Learning (ICML) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine learning.

ICML is globally renowned for presenting and publishing cutting…

Newly combined Amazon Research Awards program will continue to offer unrestricted gifts and AWS Promotional Credits to academic research teams.

Paper: https://arxiv.org/pdf/1912.05566v1.pdf
Online Demo: https://kaldir.vc.in.tum.de/neural_voice_puppetry
Project: https://justusthies.github.io/posts/neural-voice-puppetry/

We present Neural Voice Puppetry, a novel approach for audio-driven facial video…

A brief introduction to CenterNet (Objects as Points), TTFNet and their implementation in TensorFlow 2.2+.

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The Deep Learning Lecture Series is a collaboration between DeepMind and the UCL Centre for Artificial Intelligence. Over the past decade, Deep Learning has ...