The tremendous growth of the machine learning field has been driven by the availability of open source tools that allow developers to build applications easily. Although the Python programming language powers most of the machine learning frameworks, JavaScript hasn't been left behind. JavaScript developers have been using various frameworks for training and deploying machine learning models in the browser. Here are the five trending open source machine learning frameworks in JavaScript. TensorFlow.js is an open source library that allows you to run machine learning programs completely in the browser.

A cross-party group of lawmakers on Tuesday unveiled a draft version of what would become Japan's first-ever law defining the government's responsibility to systematically promote Japanese language education both at home and abroad. The drafting of the bill comes as Japan experiences a continued increase in non-Japanese residents, including under categories such as technical intern trainees, students, and highly skilled professionals, but at the same time lacks a unified policy as to how to teach them Japanese. The group hopes to submit the bill to the fall session of the Diet for possible enactment, Liberal Democratic Party lawmaker Hiroshi Hase, secretary-general of the group, told The Japan Times. Whether the bill will be passed through the Diet and how big of an impact it will create remains to be seen, with its effectiveness likely hinging on how much funding it receives from the government. The draft bill does not specify any numerical targets for fiscal spending nor set a deadline for the government to meet the ultimate goal advocated in the legislation.

A hands-on demo for use at a small STEM event – letting kids train a simple AI system by playing a few games of noughts and crosses. I prepared an activity for a STEM event in London this week. The idea was to make something for a Science Fair sort of event – where children will be walking past a stand, and might stop for a minute or two to try out an activity. The objective was to come up with a hands-on demo that would enable a volunteer to talk to the children about machine learning. As I've written it, I thought I'd share it here in case anyone else might find it useful for another event.

Sourcing talent is an ongoing and important task for global organisations from startups to international governments. As technology continues to augment business processes, employing people with relevant expertise is a serious priority. Data scientists and engineers are in high demand – but supply is low. In fact, according to Element AI, there are only 10,000 people in the world with the necessary skills to handle complex Artificial Intelligence research. What can be done to close the AI talent gap, and who is responsible for making it happen?

Some schools in China have incorporated paper-grading artificial intelligence into their classrooms, according to the South China Morning Post. One in every four schools, or about 60,000 institutions, are quietly testing a machine learning-powered system that can score students' work automatically, and even offer suggestions where appropriate. The AI, which can be accessed through various online portals, and which the report describes as similar to the system used by the Education Testing Service in the U.S., uses an evolving "knowledge base" to interpret the "general logic" and "meaning" of pupils' essays and to highlight stylistic, structural, and thematic areas that need improvement. It can read both English and Chinese, and it's reportedly perceptive enough to notice when paragraphs veer too far off topic. The 10-year-old grading software leverages deep learning algorithms to "compare notes" with human teachers' scores, suggestions, and comments.

A framework is introduced for actively and adaptively solving a sequence of machine learning problems, which are changing in bounded manner from one time step to the next. An algorithm is developed that actively queries the labels of the most informative samples from an unlabeled data pool, and that adapts to the change by utilizing the information acquired in the previous steps. Our analysis shows that the proposed active learning algorithm based on stochastic gradient descent achieves a near-optimal excess risk performance for maximum likelihood estimation. Furthermore, an estimator of the change in the learning problems using the active learning samples is constructed, which provides an adaptive sample size selection rule that guarantees the excess risk is bounded for sufficiently large number of time steps. Experiments with synthetic and real data are presented to validate our algorithm and theoretical results.

Remember "The Clapper?" You're ready to go to bed and, with two claps of your hands, the lights go out. Now imagine waking up and asking your coffeemaker for a cup of espresso. You ask the thermostat to turn up the heat to 75 degrees. You tell your key fob to start your car before you're even out of the door. These are the kinds of things that Kevin Kelly, in his book The Inevitable, predicts will be commonplace by 2046.

About this course: Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more! Topics covered: 1) Importing Data sets 2) Cleaning the Data 3) Data frame manipulation 4) Summarizing the Data 5) Building machine learning Regression models 6) Building data pipelines Data Analysis with Python will be delivered through lecture, lab, and assignments. It includes following parts: Data Analysis libraries: will learn to use Pandas, Numpy and Scipy libraries to work with a sample dataset.

A blood-thirsty new video game that encourages players to take part in a school shooting has triggered outrage online. The upcoming game, Active Shooter, lets players choose between taking on the role of a SWAT team member trying to stop an ongoing school shooting -- or the role of the shooter themselves. Those who play as the shooter will be shown a tally of the number of civilians and police officers they have managed to kill during their simulated shooting spree. Anti-gun violence charity Infer Trust has described the game as'horrendous' and in'bad taste' given the recent mass shootings in the US. Players in'Active Shooter' will be shown a tally of the number of civilians and police officers they have killed during their simulated school shooting spree'Pick your role, gear up and fight or destroy!' the description on the Active Shooter listing declares. 'Only in "Active Shooter", you will be able to pick the role of an Elite S.W.A.T team member or the actual shooter.

About this course: Do you want to know how robots work? Are you interested in robotics as a career? Are you willing to invest the effort to learn fundamental mathematical modeling techniques that are used in all subfields of robotics? If so, then the "Modern Robotics: Mechanics, Planning, and Control" specialization may be for you. This specialization, consisting of six short courses, is serious preparation for serious students who hope to work in the field of robotics or to undertake advanced study.