AI NEWS — ISSUE 1
Originally published by Machine Learning Mindset blog.
In the News
The two-legged robot mimics human balance while running and jumping
MIT researchers have developed a new control system that can provide a two-legged robot to keep its stability and balance while running and jumping. [Link]
Artificial skin creates first ticklish devices
Researchers at the University of Bristol in the U.K. and France’s Telecomm ParisTech and Sorbonne University have developed an artificial skin-like interface that can be utilized to augment devices like phones, wearables, and computers. [Link]
IBM gives cancer-killing drug AI project to the open-source community
Cancer alone is estimated to have made 9.6 million deaths in 2018, with an estimated 18 million new incidents reached in the same year. This is an unfortunate statistics, and many different stakeholders are working in this domain. IBM has released three artificial intelligence (AI) projects tailored to take on the challenge of curing cancer to the open-source community. [Link]
Watch an AI Machine Turn Music Into a Brain-Melting Visualization
Belgium-based machine learning researcher and educator Xander Steenbrugge has developed a neural network that can turn music into trippy visualizations. [Link]
AI Conquers Starcraft II In ‘Unimaginably Unusual’ AI Breakthrough
Researchers at leading AI firm DeepMind developed a program called AlphaStar capable of reaching the top eSport league for the popular video game, ranking among the top 0.2 percent of all human players. [Link]
Pentagon advisory board releases principles for the ethical use of artificial intelligence in warfare
On Thursday, a Pentagon advisory organization called the Defense Innovation Board published a set of ethical principles for how military agencies should design AI-enabled weapons and apply them on the battlefield. [Link]
We Shouldn’t be Scared by ‘Super intelligent A.I.’
An article published by The New York Times on this controversial topic. [Link]
Projects and Products
Streamlit
Streamlit lets you create apps for your machine learning projects with simple Python scripts. [Project Page, Website]
NVIDIA Deep Learning Examples for Tensor Cores
This repository provides the latest deep learning example networks for training. These examples focus on achieving the best performance and convergence from NVIDIA Volta Tensor Cores. [Project Page]
SlowFast
PySlowFast is an open-source video understanding codebase from FAIR that provides state-of-the-art video classification models. [Project Page]
Articles and Tutorials
Artificial Intelligence vs. Machine Learning vs. Deep Learning
An article dedicated to explaining the difference between the commonly used phrases of Artificial Intelligence, Machine Learning, and Deep Learning. [Link]
Machine Learning from Scratch-ish
A fundamental article to explain Machine Learning. [Link]
Image Classification With TensorFlow 2.0 ( Without Keras )
A tutorial on how to train an image classification model, using the latest version of the Tensorflow. [Link]
Research Works
SinGAN: Learning a Generative Model from a Single Natural Image
Abstract: We introduce SinGAN, an unconditional generative model that can be learned from a single natural image… [Paper, Code]
SlowFast Networks for Video Recognition
Abstract: We present SlowFast networks for video recognition. Our
model involves (i) a Slow pathway, operating at a low frame rate… [Paper, Code]
Non-local Neural Networks
Abstract: Both convolutional and recurrent operations are building blocks that process one local neighborhood at a time. In this paper… [Paper, Code]
