People who are “locked in”—fully paralyzed by stroke or neurological disease—have trouble trying to communicate even a single sentence. Electrodes implanted in a part of the brain involved in motion have allowed some paralyzed patients to move a cursor and select onscreen letters with their thoughts. Users have typed up to 39 characters per minute, Read more about AI allows paralyzed person to ‘handwrite’ with his mind twice as fast as using a cursor to select letters[…]

In March, Yoshua Bengio received a share of the Turing Award, the highest accolade in computer science, for contributions to the development of deep learning—the technique that triggered a renaissance in artificial intelligence, leading to advances in self-driving cars, real-time speech translation, and facial recognition. Now, Bengio says deep learning needs to be fixed. He Read more about An AI Pioneer Wants His Algorithms to Understand the ‘Why’[…]

TensorFlow 2.0 is driven by the community telling us they want an easy-to-use platform that is both flexible and powerful, and which supports deployment to any platform. TensorFlow 2.0 provides a comprehensive ecosystem of tools for developers, enterprises, and researchers who want to push the state-of-the-art in machine learning and build scalable ML-powered applications. Coding Read more about TensorFlow 2.0 is now available![…]

ETSI is pleased to announce the creation of a new Industry Specification Group on Securing Artificial Intelligence (ISG SAI). The group will develop technical specifications to mitigate threats arising from the deployment of AI throughout multiple ICT-related industries. This includes threats to artificial intelligence systems from both conventional sources and other AIs. The ETSI Securing Read more about ETSI launches specification group on Securing Artificial Intelligence[…]

Artificial intelligence is on a par with human experts when it comes to making medical diagnoses based on images, a review has found. The potential for artificial intelligence in healthcare has caused excitement, with advocates saying it will ease the strain on resources, free up time for doctor-patient interactions and even aid the development of Read more about AI equal with human experts in medical diagnosis with images, study finds[…]

This is a list of cheat sheets for python, R, data visualisation, machine learning, probability, deep learning, etc https://www.datasciencecentral.com/page/search?q=cheat+sheet

Below is an extract of a 10-page cheat sheet about data science, compiled by Maverick Lin. This cheatsheet is currently a reference in data science that covers basic concepts in probability, statistics, statistical learning, machine learning, deep learning, big data frameworks and SQL. The cheatsheet is loosely based off of The Data Science Design Manual by Steven Read more about New Data Science Cheat Sheet, by Maverick Lin[…]

The CEO of an energy firm based in the UK thought he was following his boss’s urgent orders in March when he transferred funds to a third-party. But the request actually came from the AI-assisted voice of a fraudster. The Wall Street Journal reports that the mark believed he was speaking to the CEO of Read more about Scammer Successfully Deepfaked CEO’s Voice To Fool Underling Into Transferring $243,000[…]

This is a library dedicated to adversarial machine learning. Its purpose is to allow rapid crafting and analysis of attacks and defense methods for machine learning models. ART provides an implementation for many state-of-the-art methods for attacking and defending classifiers. Documentation for ART: https://adversarial-robustness-toolbox.readthedocs.io https://github.com/IBM/adversarial-robustness-toolbox

The AI Fairness 360 toolkit is an open-source library to help detect and remove bias in machine learning models. The AI Fairness 360 Python package includes a comprehensive set of metrics for datasets and models to test for biases, explanations for these metrics, and algorithms to mitigate bias in datasets and models. The AI Fairness Read more about IBM releases AI Fairness 360 tool open source[…]

The AI Explainability 360 toolkit is an open-source library that supports interpretability and explainability of datasets and machine learning models. The AI Explainability 360 Python package includes a comprehensive set of algorithms that cover different dimensions of explanations along with proxy explainability metrics. The AI Explainability 360 interactive experience provides a gentle introduction to the Read more about IBM releases AI Explainability tools[…]

Google Health’s so-called augmented-reality microscope has proven surprisingly accurate at detecting and diagnosing cancerous tumors in real time. The device is essentially a standard microscope decked out with two extra components: a camera, and a computer running AI software with an Nvidia Titan Xp GPU to accelerate the number crunching. The camera continuously snaps images Read more about Google  Neural net can spot breast, prostate tumors through microscope[…]

The Humanitarian Data Exchange (HDX) is an open platform for sharing data across crises and organisations. Launched in July 2014, the goal of HDX is to make humanitarian data easy to find and use for analysis. Our growing collection of datasets has been accessed by users in over 200 countries and territories. Watch this video Read more about Humanitarian Data Exchange[…]

The way the robots work is simple. Guided by cameras and computer systems trained to recognize specific objects, the robots’ arms glide over moving conveyor belts until they reach their target. Oversized tongs or fingers with sensors that are attached to the arms snag cans, glass, plastic containers, and other recyclable items out of the Read more about Meet the AI robots being used to help solve America’s recycling crisis[…]

For example, aspirin was discovered in 1897, and an explanation of how it works followed in 1995. That, in turn, has spurred some research leads on making better pain relievers through something other than trial and error. This kind of discovery — answers first, explanations later — I call “intellectual debt.” We gain insight into Read more about Intellectual Debt (in AI): With Great Power Comes Great Ignorance[…]

The two worked together to bring a training method called Population Based Training (PBT for short) to bear on Waymo’s challenge of building better virtual drivers, and the results were impressive — DeepMind says in a blog post that using PBT decreased by 24% false positives in a network that identifies and places boxes around Read more about Waymo and DeepMind mimic evolution to develop a new, better way to train self-driving AI[…]

Researchers from IBM’s Computational Systems Biology group in Zurich are working on AI and machine learning (ML) approaches to “help to accelerate our understanding of the leading drivers and molecular mechanisms of these complex diseases,” as well as methods to improve our knowledge of tumor composition. “Our goal is to deepen our understanding of cancer Read more about IBM gives cancer-killing drug AI projects to the open source community[…]

Jiaming Luo and Regina Barzilay from MIT and Yuan Cao from Google’s AI lab in Mountain View, California. This team has developed a machine-learning system capable of deciphering lost languages, and they’ve demonstrated it by having it decipher Linear B—the first time this has been done automatically. The approach they used was very different from Read more about Machine learning has been used to automatically translate long-lost languages[…]

AI systems have weird memories. The machines desperately cling onto the data they’ve been trained on, making it difficult to delete bits of it. In fact, they often have to be completely retrained from scratch with the newer, smaller dataset. That’s no good in an age where individuals can request their personal data be removed Read more about Good luck deleting someone’s private info from a trained neural network – it’s likely to bork the whole thing[…]