Artificial intelligence and machine learning (AI/ML) are increasingly transforming the healthcare sector. From spotting malignant tumours to reading CT scans and mammograms, AI/ML-based technology is faster and more accurate than traditional devices - or even the best doctors. But along with the benefits come new risks and regulatory challenges. For more information see the IDTechEx report on Digital Health 2019: Trends, Opportunities and Outlook. In their latest article Algorithms on regulatory lockdown in medicine recently published in Science, Boris Babic, INSEAD Assistant Professor of Decision Sciences; Theodoros Evgeniou, INSEAD Professor of Decision Sciences and Technology Management; Sara Gerke, Research Fellow at Harvard Law School's Petrie-Flom Center for Health Law Policy, Biotechnology, and Bioethics; and I. Glenn Cohen, Professor at Harvard Law School and Faculty Director at the Petrie-Flom Center look at the new challenges facing regulators as they navigate the unfamiliar pathways of AI/ML.

TALLINN (Reuters) - Finland, which holds the rotating EU presidency until the end of the year, said on Tuesday it aims to teach 1% of all Europeans basic skills in artificial intelligence through a free online course it will now translate into all official EU languages. The European Union is pushing for wide deployment of artificial intelligence across the bloc, to help European companies catch up with rivals in Asia and the United States. "Our investment has three goals: we want to equip EU citizens with digital skills for the future, we wish to increase practical understanding of what artificial intelligence is, and by doing so, we want to give a boost to the digital leadership of Europe," said Finnish Minister of Employment Timo Harakka. "As our Presidency ends, we want to offer something concrete. It's about one of the most pressing challenges facing Europe and Finland today: how to develop our digital literacy," Harakka said in a statement.

Probability and statistics are the basis of Data Science. Statistics is, in simple terms, the use of mathematics to perform technical analysis of data. With the help of statistical methods, we make estimates for further analysis. Statistical methods themselves are dependent on the theory of probability, which allows us to make predictions. Both statistics and probability are separate and complicated fields of mathematics.

At IGF 2019, several policy initiatives, reports, and publications were launched or used as background material for discussions.

There are currently 4 bundles available across the Emerging Technology space with more to be added in the near future. This bundle of 9 on-demand courses provides a 12-month subscription to essential Frontend Web Development courses. You will explore web development using Angular, Vue.js, Bootstrap, JavaScript and jQuery. With video modules and eBooks, these courses give you the chance to hear directly from experts in the field and apply their learning to real-world problems. This bundle of 10 on-demand courses provides a 12-month subscription to essential data science courses.

Wearing a pair of black-rimmed glasses and a red T-shirt, an eight-year-old Chinese boy is logged in for an online coding lesson -- as the teacher. Vita has set up a coding tutorial channel on the Chinese video streaming site Bilibili since August and has so far garnered nearly 60,000 followers and over one million views. He is among a growing number of children in China who are learning coding even before they enter primary school. The trend has been fuelled by parents' belief that coding skills will be essential for Chinese teenagers given the government's technological drive. 'Coding's not that easy but also not that difficult -- at least not as difficult as you have imagined,' says Vita, who lives in Shanghai.

Me: "Alexa, tell me what will happen in 2020." Amazon AI: "Here's what I found on Wikipedia: The 2020 UEFA European Football Championship…[continues to read from Wikipedia]" Me: "Alexa, give me a prediction for 2020." Amazon AI: "The universe has not revealed the answer to me." Well, some slight improvement over last year's responses, when Alexa's answer to the first question was "Do you want to open'this day in history'?" As for the universe, it is an open book for the 120 senior executives featured here, all involved with AI, delivering 2020 predictions for a wide range of topics: Autonomous vehicles, deepfakes, small data, voice and natural language processing, human and augmented intelligence, bias and explainability, edge and IoT processing, and many promising applications of artificial intelligence and machine learning technologies and tools. And there will be even more 2020 AI predictions, in a second installment to be posted here later this month. "Vehicle AI is going to be ...

This post will be the first post on the series. The content is based on: the tutorial on fairness given by Solon Bacrocas and Moritz Hardt at NIPS2017, day1 and day4 from CS 294: Fairness in Machine Learning taught by Moritz Hardt at UC Berkeley and my own understanding of fairness literatures. I highly encourage interested readers to check out the linked NIPS tutorial and the course website. Fairness is becoming one of the most popular topics in machine learning in recent years. Publications explode in this field (see Fig1). The research community has invested a large amount of effort in this field.

This free course is published by the Massachusetts Institute of Technology (MIT). This is a week-long, self-paced course that will introduce you to Deep Learning technology and many of its industrial applications, from translation algorithms to image and object recognition, game playing, and more.

A Canadian university is working with a Canadian and American education technology company to research the use of artificial intelligence in K-12 classrooms. Specifically, the project will explore the impact of AI-driven learning experiences on student outcomes, including academic growth and social emotional learning. Participants will also develop research and best practices on the responsible use of AI in regards to equity, student privacy and teachers' abilities to personalize their students' learning experiences. The initiative involves Thierry Karsenti, a professor at the University of Montreal and Canada research chair on information and communication technologies, and Classcraft CEO, Shawn Young. Karsenti has recently been involved in a research effort that delivers mobile education on smartphones using AI to adapt professional development for teachers in Africa.