A Chicago high school student allegedly made a threat and received an unusual punishment for it, the Chicago Tribune reported. The 16-year-old posted a video on Snapchat that eventually led to a felony charge and his banishment from the world of violent video games. The sophomore, who was not identified by authorities, reportedly got annoyed by all of the discussion around school shootings in the aftermath of the Valentine's Day Parkland shooting. He then allegedly posted a Snapchat video in which he played a video game with the caption, "Y'all need to shut up about school shootings or I'll do one." He was charged with felony disorderly conduct in juvenile court, and after a night in juvenile detention, he was released.

Machine learning and AI are some of the biggest topics in the tech world right now, and Google is looking to make those fields more accessible to more people with its new Learn with Google AI website. Google has been pursuing AI education for a while, both with advanced projects like TensorFlow and more playful projects like cat doodles and a machine vision experiment meant to showcase AI projects in more practical ways. Google envisions the Learn with Google AI site serving as a repository for machine learning and AI, and it's meant to be a hub for anyone looking to "learn about core ML concepts, develop and hone your ML skills, and apply ML to real-world problems." The site will apparently cater to all levels of AI enthusiasts, from researchers looking for advanced tutorials to beginners. The site also features a free course called Machine Learning Crash Course (MLCC).

There really is no escaping topics on Artificial Intelligence or machine learning in this day and age. They are used in many aspects of our lives, and Google hopes to encourage everyone to understand how these technologies can help solve challenging problems. "AI can solve complex problems and has the potential to transform entire industries, which means it's crucial that AI reflect a diverse range of human perspectives and needs. "That's why part of Google AI's mission is to help anyone interested in machine learning succeed – from researchers, to developers and companies, to students," said Google Technical Program Manager Zuri Kemp on the company's official blog. She also introduced the new Learn with Google AI website which provides ways for users to learn about core machine learning concepts, develop and hone their skills in the subject, as well as apply the technology to real-world problems. The website is catered to a wide range of users, from deep learning experts needing advanced tutorials and materials on TensorFlow, to newbies who just want to take their first steps with AI. Learn with Google AI also offers a free online course called Machine Learning Crash Course (MLCC) which provides exercises, interactive visualisation, and instructional videos for anyone to learn and practise machine learning concepts. "Our engineering education team originally developed this fast-paced, practical introduction to machine learning fundamentals for Googlers.

Owura Kwadwo Hottish illustrates a window of Microsoft Word using colored chalk on a blackboard. He uses it to teach computer skills to students at the Betenase M/A Junior High School in Kumasi, Ghana. Owura Kwadwo Hottish illustrates a window of Microsoft Word using colored chalk on a blackboard. He uses it to teach computer skills to students at the Betenase M/A Junior High School in Kumasi, Ghana. Could you teach computer class without a computer?

The robotic platform heaves, as if breathing. Atop it stretches a piece of white gauze with a blue line painted down the middle. Along this line another robot snips with little surgical scissors, waiting for the platform to come to a brief rest before making a cut. This could be you one day. Not that you'll turn into a robot--you may go under the knife of a machine working as a surgical assistant.

YouTube's new moderation team appears to have mistakenly removed a number of right-wing political channels from the site. The video-streaming giant - owned, like Google, by Alphabet - is currently stepping up its efforts to remove offensive content as the US gun control debate heats up following the Florida high school massacre on 14 February in which ex-student Nikolas Cruz killed 17 people with an AR-15 assault rifle. Over 10,000 new staff were hired in December as the company sought to address fake news and inappropriate clips being uploaded, following criticism of its hosting contentious material without challenge. However, YouTube appears to have encountered teething problems with its new censorship body. Pulling accounts entirely would have marked a major policy change for YouTube - one that it has not publicly announced.

One year back, I was a newbie to the world of Machine Learning. I used to get overwhelmed by small decisions, like choosing the language to code with, choosing the right online courses, or choosing the correct algorithms. So, I have planned to make it easier for folks to get into Machine Learning. I'll assume that many of us are starting from scratch on our Machine Learning journey. Let's find out how current professionals in the field reached their destination, and how we can emulate them on our journey. I will illustrate how you can learn Data Science by drawing a parallel between how Rafael Nadal learned to play tennis, and how you can learn Machine Learning.

Here are four projects led by 5th-year engineering students majoring in Computer Science, Big Data and Connected Objects and Financial Engineering which resorted to Machine Learning. "Weather Learning" is a project which aims at developing a tool allowing to predict the weather report, anywhere in France. It is based on modern methods of Machine learning and Deep learning. This project does not use physico-chemical modellings but the history of the weather data. After identifying meteorological sources from which data from more than 10 years ago could be extracted, students developed algorithms allowing to extract the meteorological data. MongoDB was chosen as a database for its capacity to manage geographical coordinates.

A combination of breathless excitement and near-paralysing fear are driving the debate along with countless – often ill-informed – predictions about how the technology which will revamp our future lives. While it is far too early in AI's evolution to understand its true potential or how quickly it will have a fundamental impact, it is already penetrating our lives. From smartphones and dating sites to web searches and driverless vehicles; it is becoming part of the fabric of life. Over the next few years, businesses, homes and schooling could be completely different with AI on the scene. At its core, AI is a type software or hardware that learns – and it could become programmed to learn mostly about us, its users.

During college, while doing a geophysics internship aboard an oil rig, I realized that software was the future--so I switched my major to computer science. After more than a decade working at Google, I had a similar moment where I realized that AI is the future of computer science. Today, I lead Google's machine learning education effort, in the hope of making AI and its benefits accessible to everyone. AI can solve complex problems and has the potential to transform entire industries, which means it's crucial that AI reflect a diverse range of human perspectives and needs. That's why part of Google AI's mission is to help anyone interested in machine learning succeed--from researchers, to developers and companies, to students like Abu.