In recent months, Microsoft, Google, Apple, Facebook, and other entities have declared that we no longer live in a mobile-first world. Instead, it's an artificial intelligence-first world where digital assistants and other services will be your primary source of information and getting tasks done. Your typical smartphone or PC are now your secondary go-getters. Backing this new frontier are two terms you'll likely hear often: machine learning and deep learning. These are two methods in "teaching" artificial intelligence to perform tasks, but their uses goes way beyond creating smart assistants.

Leading experts in artificial intelligence (AI) debated whether machines can ever be truly creative during an event at Imperial College London. The panel debate was part of the Night of Ideas, a programme of free debates exploring the latest ideas behind issues central to our times organised by the Institut Français. Academics from Imperial and other London institutions, were joined by a director from Spotify to talk about their latest research involving AI and discussed the creativity potential of computer software. The experts debated how developments in AI were enabling machines to produce music and paintings but questioned whether this meant they were being truly creative and should be recognised as artists in their own right. Dr Aldo Faisal, from the Department of Bioengineering and Department of Computing, gave his thoughts on what is powering the AI revolution.

I come from physics and computer engineering. I studied both in Venezuela, and then I did a Master in Physics in Mexico. But I consider myself a Data Scientist. So even though I have a good and extensive background in math, calculus and statistics, it was not easy to get started with machine learning and then deep learning. This subjects are not new, but the way we study them, how we build software and solutions that use them, and also the way we program or interact with them has changed dramatically.

NEW DELHI: Citing the incident where Facebook had to abandon an experiment undertaken last year where two artificially intelligent programs or chat bots appeared to be chatting to each other in a strange language which they developed on their own and only they understood, Dr. Jitendra K. Das set the tone of the conclave on "The Confluence of Artificial Intelligence and Data Analytics" held recently at the FORE School of Management, New Delhi, in association with BRICS Chamber of Commerce and Industry. Dr. Das further explained how with the help of complex virtual learning techniques, a wide range of physical and cognitive tasks are being managed today with a high level of efficiency and accuracy. And as artificial intelligence or AI systems advance through machine learning these will continue to impact not just business but our lives as well. But, if indeed machines continue to improve their performance beyond human levels, a natural question to ask is whether machines will put humans' jobs at risk and reduce employment. According to Mr. Vijay Sethi, CIO and Head CSR at Hero MotoCorp Ltd., "Such a concern is not new and in fact dates back to the 1940s when AI and automation started developing."

Google is opening a university in California to train African-American computer science majors in intensive coding instruction. Josh King has the story (@abridgetoland). Google is opening up the Howard West program to 100 students from Howard and other historically black universities and colleges for a full academic year starting this fall. SAN FRANCISCO -- Last summer, Howard University dispatched 26 students to Google's Mountain View, Calif., campus for an intensive 12-week course on coding. The experimental test run boosted students' technical chops and their confidence, and now -- starting in the fall -- the Internet giant is opening the program to 100 students from Howard and other historically black colleges and universities for a full academic year.

"This course has taught me many things I wanted to know about pandas. It covers everything since the installation steps, so it is very good for anyone willing to learn about data analysis in python /jupyter environment." "Good explanation, I have laready used two online tutorials on data -science and this one is more step by step, but it is good" "i have studied python from other sources as well but here i found it more basic and easy to grab especially for the beginners. I can say its best course till now . The average data scientist today earns $130,000 a year by glassdoor.

Last year we announced that we were developing a new deep learning course based on Pytorch (and a new library we have built, called fastai), with the goal of allowing more students to be able to achieve world-class results with deep learning. Today, we are making this course, Practical Deep Learning for Coders 2018, generally available for the first time, following the completion of a preview version of the course by 600 students through our diversity fellowship, international fellowship, and Data Institute in-person programs. The only prerequisites are a year of coding experience, and high school math (math required for understanding the material is introduced as required during the course). The course includes around 15 hours of lessons and a number of interactive notebooks, and is now available for free (with no ads) at course.fast.ai. Our research focuses on how to make practically useful deep learning more widely accessible. Often we've found that the current state of the art (SoTA) approaches aren't good enough to be used in practice, so we have to figure out how to improve them.

Ng's the co-founder of online education platform Coursera who's led AI teams at Google and Baidu. He says his background will help prioritize projects with the most potential, saving founders six months of development time otherwise lost explaining their idea. He's also tapping his personal network for leads: The fund, simply called AI Fund, isn't taking pitches from entrepreneurs.

Sometimes I write a blog just to formulate and organize a point of view, and I think it's time that I pull together the bounty of excellent information about Machine Learning. This is a topic with which business leaders must become comfortable, especially tomorrow's business leaders (tip for my next semester University of San Francisco business students!). Machine learning is a key capability that will help organizations drive optimization and monetization opportunities, and there have been some recent developments that will place basic machine learning capabilities into the hands of the lines of business. By the way, there is an absolute wealth of freely-available material on machine learning, so I've included a sources section at the end of this blog for folks who want more details on machine learning. Time to dive into the world of machine learning!

The origins of humans' ability to learn language may be older than our species itself. New research has found that language may be learned in ancient'general purpose' brain circuits that emerged before humans existed, and can even be found in other animals. It's long been thought that human language relied solely on mechanisms found in our species – but, the new findings now suggest this may not be the case, after all. In addition to the evolutionary implications, experts say the discovery could be used to help improve language learning for those who may have difficulties, including people with dyslexia and stroke-related damage. The origins of humans' ability to learn language may be older than our species itself.