Twitter will not suspend Alex Jones or Infowars because they have not broken any rules, its CEO has said. Just about every other major technology company – including Apple, Facebook, YouTube and Spotify – have all acted to either completley ban or punish the controversial conspiracy theorist radio host. But Twitter says that his posts are not in contravention of any rules and so he will stay up. That is despite Jones having used the platform to amplify his beliefs, which include claims that the Sandy Hook school shooting did not actually happen at all and that those mourning murdered loved ones were paid actors. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph.

Stanford University's Machine Learning Course Andrew Ng is the man. The founder of Google Brain and former chief scientist at Baidu, Andrew Ng's course is the clear winner in terms of ratings, reviews, and syllabus fit. Seeing how this course was what practically founded Coursera, that doesn't seem unbelievable. Although it has a smaller scope than the original Stanford class, it covers a large number of algorithms and techniques. The estimated timeline is eleven weeks, which includes two weeks of neural networks and deep learnings.

Here's the conundrum with corporate online learning: there are so many classes available from sites like Coursera, edX, and Udacity that companies don't know what content to offer their employees. And once companies do choose a learning program, it's tough for them to figure out what skills their employees pick up and to what degree they've mastered them. They need an objective metric to evaluate proficiency. A new AI-powered tool developed by Coursera aims to be that metric. The feature, which the Bay Area startup announced today, lets companies that subscribe to its training programs see which of their employees are earning top scores in Coursera classes; how their employees' skills measure up to their competitors'; and what courses would help fill any knowledge gaps.

With the wave of school shootings that have swept the U.S. in recent years, concerns about physical security and safety have overwhelmed parents, teachers and school administrators alike. Facial recognition technology, which would allow schools and law enforcement to quickly identify who is entering their schools and when could give school districts a powerful means to make schools even safer. Last month, RealNetworks, the streaming media company that garnered attention in the '90s and early 2000s for developing the first audio streaming solution, announced it would offer its facial recognition software, SAFR, for free to over 100,000 school districts. "School safety has become one of the top national issues in the United States in 2018," said Rob Glaser, chairman and CEO of RealNetworks in a press release. "We are proud to give our leading-edge SAFR for K-12 technology solution to every elementary, middle, and high school in America and Canada. We hope this will help make schools safer."

Data science combines several disciplines, including statistics, data analysis, machine learning, and computer science. This can be daunting if you're new to data science, but keep in mind that different roles and companies will emphasize some skills over others, so you don't have to be an expert at everything. Pro tip: "Data scientist" is often used as a blanket title to describe jobs that are drastically different! One important piece of advice for your job search is to read data science job descriptions carefully. This will enable you to apply to jobs you're already qualified for, or develop specific data skill sets to match the roles you want to pursue.

Do you believe Artificial Intelligence is the future game-changer? Artificial Intelligence (AI) is not the FUTURE, it is ALREADY HERE. According to Wikipedia, "Artificial intelligence (AI, also machine intelligence, MI) is intelligence demonstrated by machines, in contrast to the natural intelligence (NI) displayed by humans and other animals". In a post by Josh Bersin, Founder and Principal at Bersin by Deloitte, it is mentioned that "AI is all about a wide range of machine learning tools and algorithms that quickly provide data, identify and predict patterns for informed decision making. It is possible for the systems to understand speech, identify photos, and use pattern matching to pick up signals about mood, honesty, and even personality. These algorithms are not "intuitive" like human beings, but they are fast, so they can analyze millions of pieces of information in seconds and quickly correlate them against patterns."

Stories of how students and developers get started in applied machine learning are an inspiration. In this post, you will hear about Álvaro Lemos story and his transition from student to getting a machine learning internship. I'm from Salvador, Bahia (Brazil), but currently, I live in Belo Horizonte, Minas Gerais (also in Brazil). I am studying Electrical Engineering at the Federal University of Minas Gerais and since the beginning of my undergraduation course, I've been involved with software development in some way. On my first week as a freshman, I joined a research group called LabCOM to help a colleague on his master's degree project.

In September, the University of Toronto will launch Canada's first undergraduate engineering science program in machine intelligence. The University of Toronto (U of T) has unveiled Canada's first undergraduate engineering science program in machine intelligence, scheduled to launch in September with more than 40 students enrolled so far. Says U of T's Deepa Kundur, "U of T Engineering has long been an international leader in machine intelligence, making this the perfect place to launch this pioneering program." In January, the university launched the Master of Engineering in Analytics program, which provides instruction in techniques and strategies to translate large data sets into useful insights. The university's new Myhal Center for Engineering Innovation & Entrepreneurship will host the new Institute for Robotics and Mechatronics, as well as prototyping facilities, and space for interaction among students, faculty, alumni, industry partners, and business mentors.

The concept of stochastic configuration networks (SCNs) others a solid framework for fast implementation of feedforward neural networks through randomized learning. Unlike conventional randomized approaches, SCNs provide an avenue to select appropriate scope of random parameters to ensure the universal approximation property. In this paper, a deep version of stochastic configuration networks, namely deep stacked stochastic configuration network (DSSCN), is proposed for modeling non-stationary data streams. As an extension of evolving stochastic connfiguration networks (eSCNs), this work contributes a way to grow and shrink the structure of deep stochastic configuration networks autonomously from data streams. The performance of DSSCN is evaluated by six benchmark datasets. Simulation results, compared with prominent data stream algorithms, show that the proposed method is capable of achieving comparable accuracy and evolving compact and parsimonious deep stacked network architecture.

The thought of leveraging immediate technology solutions reflects both men's professional backgrounds: Button owns a telecom company, and Crane is director of sales, network security, and cloud management for a cloud-computing subsidiary of Dell Technologies. So far, their startup, Shielded Students, has enlisted three security companies: an emergency response coordination service and two that make gun detection systems. One of these systems, developed by Patriot One Technologies in Canada, integrates a microwave radar scanner with a popular artificial intelligence (AI) technique that is trained to identify guns and other hidden weapons. Shielded Students hopes to combine these and other solutions into a package that can help prevent another mass shooting like the one that killed Luke and 16 other people. "I can tell you with a lot of confidence that this technology, incorporated into Marjory Stoneman Douglas, would have probably saved all 17," Button said, "including my nephew–who was one of first people shot."