David Duvenaud was collaborating on a project involving medical data when he ran up against a major shortcoming in AI. An AI researcher at the University of Toronto, he wanted to build a deep-learning model that would predict a patient’s health over time.…

On Oct. 9, 2018, John Lennox addressed the critical questions surrounding artificial intelligence and how the future of artificial intelligence bears on a Christian vision of reality. This event was hosted at the Zacharias Institute in Alpharetta, GA, and…

Build a convolutional neural network to predict what people are doing from fluctuations in their brain voltage readings.

We present graph wavelet neural network (GWNN), a novel graph convolutional neural network (CNN), leveraging graph wavelet transform to address the shortcoming of previous spectral graph CNN...

Three paper recommendations this time:
- Inception score - "Improved Techniques for Training GANs" - https://arxiv.org/abs/1606.03498
- "Progressive Growing of GANs for Improved Quality" - https://arxiv.org/abs/1710.10196
- Inception score criticism - "A…

🔥 NIT Warangal Post Graduate Diploma on AI and Machine Learning: https://www.edureka.co/post-graduate/machine-learning-and-ai
This Edureka Machine Learning tutorial (Machine Learning Tutorial with Python Blog: https://goo.gl/fe7ykh ) on "AI vs Machine Learning…

The amazing thing about AI is just how un(human)biased it is. If it had personhood and opinions of its own, it might stand up to those who…

🔥 Post Graduate Diploma in Artificial Intelligence by E&ICT Academy
NIT Warangal: https://www.edureka.co/executive-programs/machine-learning-and-ai
This video on Artificial intelligence gives you an introduction to artificial intelligence with futuristic…

Deep learning applies multiple processing layers to learn representations of data with multiple levels of feature extraction. This emerging technique has reshaped the research landscape of face...

The paper "A Style-Based Generator Architecture for Generative Adversarial Networks", i.e., #StyleGAN and its video available here:
https://arxiv.org/abs/1812.04948
https://www.youtube.com/watch?v=kSLJriaOumA

Our material synthesis paper is available here:…

Demystifying Graph Traversal

(с) Гитхаб — это не просто площадка для хостинга и совместной разработки IT-проектов, но и огромная база знаний, составленная сотнями экспертов. К счастью, сервис предоставляет не просто...

Machine learning has many applications, one of which is to forecast time series. One of the most interesting (or perhaps most profitable)…

Это вторая статья по анализу и изучению материалов соревнования по поиску корабликов на море. Но сейчас будем изучать свойства обучающих последовательностей. Попробуем найти в исходных данных лишнюю...

Despite the importance of flow correlation attacks on Tor, existing flow correlation techniques are considered to be ineffective and unreliable in linking Tor flows when applied at a large scale, i.e., they impose high rates of false positive error rates…

Have you ever wondered why the backpropagation algorithm was invented in the 1980s but the AI boom of deep learning only took off over 25…

by Ryan Whitwam

The concept behind ‘Movie Mustache’ is simple, but revolutionary. Watch a movie with friends but with a mustache or two on the TV —…