Research Blog: Distill: Supporting Clarity in Machine Learning Posted by Shan Carter, Software Engineer and Chris Olah, Research Scientist, Google Brain Team Science isn't just about discovering new results. It’s also about human understanding. Scientists need to develop notations, analogies, visualizations, and explanations of ideas. This human dimension of science isn't a minor side project. AI robot Ai-Da presents original artworks in University of Oxford exhibition An exhibition of paintings, drawings and sculpture made by Ai-Da, a humanoid robot with artificial intelligence, has been unveiled at a gallery in the UK. Ai-Da, who is named after pioneering scientist Ada Lovelace, was revealed along with her creations at St John's College at the University of Oxford. The AI robot, who was invented by gallery director Aidan Meller, can draw things from life using an inbuilt camera, a mechanical arm developed at Leeds University, and algorithms developed by scientists at Oxford. In order to draw, the camera analysis the object in front of it and creates a virtual path, which is fed into a path execution algorithm that produces real-space coordinates for the robotic arm. Facial-recognition technology allows her to draw pencil portraits of people by scanning their features with the cameras in her eyes and using the robotic arm to map them on paper. Video pieces featuring Ai-Da include one where she recites poetry generated from AI using prison literature.
Facets - Visualizations for ML datasets Better data leads to better models. The power of machine learning comes from its ability to learn patterns from large amounts of data. Understanding your data is critical to building a powerful machine learning system. Facets contains two robust visualizations to aid in understanding and analyzing machine learning datasets. Get a sense of the shape of each feature of your dataset using Facets Overview, or explore individual observations using Facets Dive.
10 Free Must-Read Books for Machine Learning and Data Science What better way to enjoy this spring weather than with some free machine learning and data science ebooks? Right? Right? Here is a quick collection of such books to start your fair weather study off on the right foot. Visualizing the AI Revolution in One Infographic Amid the COVID-19 pandemic, many people have transitioned to working—and socializing—from home. If these trends become the new normal, certain companies may be in for a big payoff. Popular video conferencing company, Zoom Communications, is a prime example of an organization benefiting from this transition. Today’s graphic, inspired by Lennart Dobravsky at Lufthansa Innovation Hub, is a dramatic look at how much Zoom’s valuation has shot up during this unusual period in history. The Zoom Boom, in Perspective As of May 15, 2020, Zoom’s market capitalization has skyrocketed to $48.8 billion, despite posting revenues of only $623 million over the past year.
Gartner Identifies Three Megatrends That Will Drive Digital Business Into the Next Decade STAMFORD, Conn., August 15, 2017 View All Press Releases 2017 Emerging Technologies Hype Cycle Garners Insight From More Than 2,000 Technologies The emerging technologies on the Gartner Inc. Hype Cycle for Emerging Technologies, 2017 reveal three distinct megatrends that will enable businesses to survive and thrive in the digital economy over the next five to 10 years. Artificial intelligence (AI) everywhere, transparently immersive experiences and digital platforms are the trends that will provide unrivaled intelligence, create profoundly new experiences and offer platforms that allow organizations to connect with new business ecosystems. The Emerging Technologies Hype Cycle is unique among most Gartner Hype Cycles because it garners insights from more than 2,000 technologies into a succinct set of compelling emerging technologies and trends.
How Companies Are Already Using AI Executive Summary A survey by Tata Consultancy Services reveals that while some jobs have been lost to machine intelligence, that’s not the major way companies are using AI today. Companies are more likely to be using AI to improve computer-to-computer tasks while employing the same number of people. The 170-year-old news service Associated Press offers a case in point. In 2013, demand for quarterly earnings stories was insatiable, and staff reporters could barely keep up. How Canada has emerged as a leader in artificial intelligence Academics, industry and government have joined together, setting the stage for Canada to become a research and development powerhouse in AI. Governments can have a pretty dismal track record when it comes to predicting the next big thing. Tax dollars spent on visionary projects are often, it seems, tax dollars thrown away. But, this past spring, Ottawa might have made its best bet yet with the $125 million it has set aside over the next five years for a Pan-Canadian Artificial Intelligence Strategy.