Google has announced a new Explainable AI feature for its cloud platform, which provides more information about the features that cause an AI prediction to come up with its results. Artificial neural networks, which are used by many of today’s machine learning and AI systems, are modelled to some extent on biological brains. One of Read more about Fresh efforts at Google to understand why an AI system says yes or no launches Explainable AI product[…]

When there is a mismatch between the target identity and the driver identity, face reenactment suffers severe degradation in the quality of the result, especially in a few-shot setting. The identity preservation problem, where the model loses the detailed information of the target leading to a defective output, is the most common failure mode. The Read more about MarioNETte: with only a few pictures a human behind a webcam can “drive” the picture to copy facial expressions realistically[…]

researchers recorded the brain activity of mice staring at images and used the data to help make computer vision models more robust against adversarial attacks. Convolutional neural networks (CNNs) used for object recognition in images are all susceptible to adversarial examples. These inputs have been tweaked in some way, whether its adding random noise or Read more about Boffins harnessed the brain power of mice to build AI models that can’t be fooled[…]

Algorithms identified death notices in old newspaper pages, then another set of algorithms pulled names and other key details into a searchable database. From a report: Ancestry used artificial intelligence to extract obituary details hidden in a half-billion digitized newspaper pages dating back to 1690, data invaluable for customers building their family trees. The family Read more about Ancestry Taps AI To Sift Through Millions of Obituaries[…]

In modern cities, we’re constantly surveilled through CCTV cameras in both public and private spaces, and by companies trying to sell us shit based on everything we do. We are always being watched. But what if a simple T-shirt could make you invisible to commercial AIs trying to spot humans? A team of researchers from Read more about This Trippy T-Shirt Makes You Invisible to AI[…]

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[…]