The need for reskilling and retraining due to the impact of artificial intelligence (AI) and automation technology will be massive, affecting more than 120 million workers across the world's 12 largest economies, according to IBM's Institute for Business Value. In a report entitled The enterprise guide to closing the skills gap, the institute indicated that while only 41% of employers have the required people, skills and resources in place to execute their business strategies effectively today, the situation will only get worse as demand for new – particularly soft – skills continues and expertise focused around repetitive, rules-based activities becomes progressively obsolete. "By 2030, the global talent shortage could reach more than 85 million people," the study says. "To be clear, the issue is not a shortage of workers, but a shortage of workers with the right skills." To make matters worse, although the so-called "half-life" of professional skills was formerly estimated at between 10 and 15 years, the half-life of a learned skill today is estimated to be a mere five years, and is potentially even less for technical expertise. So skills learned now will only be half as valuable in five years' time, which means that finding ways to continually update and refresh them will become an increasing imperative.

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Generative adversarial network

The AI for Education 2019 Initiative Committee has completed the evaluations of prominent EdTech companies applying Artificial Intelligence to enhance education and learning. The companies selected in the list apply AI in different ways to benefit students, learners and the educational sector at large. The evaluation is part of the AI for Education 2019 Initiative, which aims to identify and showcase the most impactful and beneficial applications of Artificial Intelligence in the field of Education. We thank the AI for Education 2019 Initiative Committee Members who took part in the evaluations. They have evaluated the EdTech companies based on their vision, the maturity of their technology, and their contribution to applying AI technology to solve significant problems in the educational sector.

In this course, we will discuss Azure Machine Learning in detail. You will learn what features it provides and how it is used. We will explore how to process some real-world datasets and find some patterns in that dataset. This course teaches you how to design, deploy, configure and manage your machine learning models with Azure Machine Learning. The course will start with an introduction to the Azure ML toolset and features provided by it and then dive deeper into building some machine learning models based on some real-world problems 4. Data Visualization with Python: The Complete Guide Data Visualization with Python: The Complete Guide.

The ADAPT Centre at Trinity College Dublin has received funding to hire a start-up founder to spin-out the business start-up Darwin & Goliath http://darwingoliath.com in the field of recommendations-as-a-service. The position is to be filled with a product manager, machine-learning engineer, software engineer, or software architect. The person is expected to work together very closely with the project lead and Business Administrator. Both will be responsible for developing a recommender-system as-a-service that uses unique machine-learning technology, which is based on the research of Professor Joeran Beel who is the project lead. This position is flexible in the responsibilities and open to focus more on either software engineering / machine-learning or on the architectural and product management part.

Many a middle school science teacher has dripped a few drops of potassium iodide into hydrogen peroxide and watched the delight of their students as a volcano of foam erupted from the container. This experiment is often the way young people first learn about catalysts as something that that can induce a chemical reaction. But catalysts can make more than foam. As those young people grow into young scientists, they learn that catalysis--the acceleration of a chemical reaction by a catalyst--is a key process in the creation of just about everything. From the plastics that make up our medical equipment, to the gasoline in our cars, to the paint that colors our homes--none of these could exist without catalysts.

Images in this blind light transport factorization example are projected onto a wall behind the camera. A group of scientists from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) has developed a method that can reconstruct, using no special equipment, hidden video from the subtle shadows and reflections on an observed pile of clutter. With a video camera turned on in a room, the scientists can reconstruct a video of an unseen corner of the room, even if it falls outside the camera's field of view. By observing the interplay of shadow and geometry in video, the team's algorithm predicts the way that light travels in a scene, which is known as "light transport." The system then uses that to estimate the hidden video from the observed shadows -- and it can even construct the silhouette of a live-action performance.

Whether it be on vacation, at work or at home, we humans in general live comfortable lives. Compared to only one century ago (in contrast to around 200,000 years of existence of homo sapiens) we have much less need for physical labour to sustain life. We have shelter, a soft bed, central heating and a shower. Our food is grown, distributed and cooked using lots of automation. We also have mobile phones.

Finland is opening up a wildly popular Elements of Artificial Intelligence online course to all EU citizens. The announcement was made in Brussels on Tuesday to mark the approaching end of Finland's presidency of the Council of the EU. Finland assumed the rotating six-month presidency in July this year, shortly after the Antti Rinne administration assumed office. Rinne has since stepped down as Prime Minister and now heads a caretaker administration until a new cabinet is sworn in on Tuesday. The government said that the goal of the project is attract one percent of EU citizens – five million people – to complete the course in 2020 and 2021.