Andrew Ng taught one of the most-viewed online courses of all time--more than 1.5 million people have registered to take one of the many sequences of his free online course about machine learning. That experience spurred him to co-found Coursera. Today Ng announced that this summer he's launching sequels to that blockbuster, with a series of courses on the AI concept known as deep learning. For the past two years Ng had been applying concepts of deep learning in the commercial sector, as a chief scientist for the Chinese tech giant Baidu. But he left that company in March, and since then has been working on three undisclosed projects in AI.

Machine learning is increasingly pervasive in the modern data-driven world. It is used extensively across many fields such as search engines, robotics, self-driving cars, and more. With this course, you will learn how to perform various machine learning tasks in different environments. We'll start by exploring a range of real-life scenarios where machine learning can be used, and look at various building blocks. Throughout the course, you'll use a wide variety of machine learning algorithms to solve real-world problems and use Python to implement these algorithms.

Lipo Wang's research interests are in computational intelligence, i.e., neural networks, evolutionary computation, and fuzzy systems, with applications to multimedia, bioinformatics, and data mining. He has published over 50 journal publications, 14 books (authored/edited), 70 conference presentations, and 7 book chapters. He holds a U.S. patent on a neural network for image sequence processing. He is an Associate Editor / Editorial Board member for 7 international journals, including IEEE Transactions on Neural Networks, IEEE Transactions on Evolutionary Computation. He is Chair of the Emergent Technologies Technical Committee, IEEE Neural Networks Society.

On 24th May the Fieldfisher Silicon Valley team attended the Churchill Club's Top Tech Trends event in Santa Clara, CA where 5 leading VC's made their predictions for the next 5 years. The question posed was "What new tech trends will emerge with the potential for explosive growth in 5 years?", and is one posed annually to 5 leading Silicon Valley venture capitalists at the Churchill Club's Top Tech Trends debate. On pitching their trends for the future the 500 strong audience were then given the chance to vote and express their view. So, what is the future going to look like and did we just witness the introduction of a tech trend which everyone will know about within 5 years? That the trend is'non-obvious' today; and The panellists voted and critically appraised each other's predictions and then the vote was handed over to the audience.

Mike Salem from Udacity's Robotics Nanodegree is hosting a series of interviews with professional roboticists as part of their free online material. Jillian is a video game designer turned roboticist attempting to combine games in robotics in a unique user experience. You can find all the interviews here. We'll be posting them regularly on Robohub.

After Kubiiki Pride's 13-year-old daughter disappeared, it took 270 days for her mother to find her. When she did, it was as an escort available to be rented out on an online classified web site. Her daughter had been drugged and beaten into compliance by a sex trafficker. To find her, Pride had to trawl through hundreds of advertisements on Backpage.com, When it comes to identifying signs of human trafficking in online sex adverts, the task for police is often no easier.

Data science and machine learning are some of the top buzzwords in the technical world today. Machine learning is the buzzword bringing computer science and statistics together to build smart and efficient models. Using powerful algorithms and techniques offered by machine learning you can automate any analytical model. Python is one of the most popular languages used for machine learning and arguably, the best entry point to the fascinating world of machine learning (ML). If you're interested to explore both the programming and machine learning world with python, then go for this course.

Sri Saripalli and Swami Gopalswamy of the department of mechanical engineering have been stationed outside Kyle Field all week with several engineering students and the vehicle, which features a laser sensor, exterior cameras and speakers and a LED computer monitor propped over the steering wheel. This vehicle is the brain child of Saripalli, Gopalswamy and four graduate and undergraduate students, assisted by engineers at Virginia Tech University. It is designed to transport students from one point to another on the sidewalks and minor roadways of a campus, following a pre-drawn GPS path on continuous loop.

R is considered as lingua franca of Data Science. Candidates with expertise in R programming language are in exceedingly high demand and paid lucratively in Data Science. IEEE has repeatedly ranked R as one of the top and most popular Programming Languages. Almost every Data Science and Machine Learning job posted globally mentions the requirement for R language proficiency. All the top ranked universities like MIT have included R in their respective Data Science courses curriculum.

What does the future of work look like? Will there still be jobs even if the nature of work is exceptionally different from today? New technologies undoubtedly changed the way we work. Recent studies suggest that unemployment rate today is significant in most developed nations and it's only going to get worse. By 2030, mid-level jobs will be by and large obsolete.