Mark Cuban opened the Upfront Summit in an epic interview by Jason Hirschhorn, founder of Media REDEF. They discussed many topics ranging from protection of the press to what Mark looks for in an entrepreneur to investing outside of Silicon Valley and of course Trump and sports. But perhaps to most insightful was their discussion about Machine Learning / AI. Mark made a fortune by being early in Local Area Networking, streaming and then High Definition video so perhaps it's worth listening. He said that he believes AI will have a bigger impact than any technology in the last 30 years.

Given how artificial intelligence-led robots and machines are doing even non-repetitive jobs that require cognitive skills, most analysis on them paint a never-before kind of across-the-board job destruction with, unlike in the past, no new job-creating areas coming up--the 2016 Oxford Martin School-Citi report said automation in developing countries puts 85% the jobs at risk. New research by McKinsey Global Institute (MGI) paints a less grim picture--while around 5% of jobs that exist today are completely automated immediately, around 30% of the work done in around 60% of jobs can also be automated by 2055. As a result, while talking of very large productivity gain of 0.8-1.4% per annum, MGI point to the need for man and machine to work together to derive this benefit, and it is not just at low-skill jobs that the challenge will arise. A fourth of even a CEO's job, MGI says, can be offloaded to an algorithm/AI entity. For the rest, it depends.

Google and a number of unnamed search engine companies are in talks with entertainment firms over a new code designed to reduce how many links to pirated content appear in search results. Following discussions chaired by the UK's Intellectual Property Office, the companies have come to the agreement that the new measures should be introduced on 1 June, reports TorrentFreak. A deal is said to be "extremely close" to being signed. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar. Japan's On-Art Corp's CEO Kazuya Kanemaru poses with his company's eight metre tall dinosaur-shaped mechanical suit robot'TRX03' and other robots during a demonstration in Tokyo, Japan Japan's On-Art Corp's eight metre tall dinosaur-shaped mechanical suit robot'TRX03' performs during its unveiling in Tokyo, Japan Singulato Motors co-founder and CEO Shen Haiyin poses in his company's concept car Tigercar P0 at a workshop in Beijing, China A picture shows Singulato Motors' concept car Tigercar P0 at a workshop in Beijing, China Connected company president Shigeki Tomoyama addresses a press briefing as he elaborates on Toyota's "connected strategy" in Tokyo.

Credit: "Busted" by Jason Scragz is licensed under CC BY 2.0 You copied an image on your blog that you saw on the internet. You didn't think you were doing anything wrong but it turns out you were. How can you avoid all this by finding images that are free to use? Creative Commons is here to help you out. How can you find these images? Google's Advance Image Search has a drop down box that allows you to restrict a search by different types of Creative Commons license.

Genomic tools allow investigators to devise therapies targeting specific molecular abnormalities in tumors. One such alteration is the loss of neurofibromin 1 (NF1), an important tumor suppressor that regulates the activity of RAS GTPases [1, 2]. Heterozygous mutation or deletion of NF1 causes neurofibromatosis type 1 (NF), one of the most frequently inherited genetic disorders [3]. NF patients often develop plexiform neurofibromas (PNs), benign nerve tumors for which the only therapy is surgery. However, resection is often impossible due to the tumor's intimate association with peripheral and cranial nerves [4].

An Introduction to'Machine Learning' -- I came across this article and thought it was worth a share, the original article was surrounded in adverts and difficult to read, so I make no apologies for plagiarizing it! I have kept the original link at the bottom of the article, enjoy . . . The concept that a computer program can learn and adapt to new data without human interference. Machine learning is a field of artificial intelligence that keeps a computer's built-in algorithms current regardless of changes in the worldwide economy. If you would like to try your first Machine Learning Experiment -- take a look at this easy walkthrough https://t.co/JHwAShjRgj

Up until very recently, computers needed a complicated and extremely precise set of instructions in order to accomplish even the simplest of tasks. Who among us remembers programming via punch cards? Computer programming languages have evolved over the years, but the biggest step has been moving towards the elimination of complicated programming. In other words, teaching computers to learn for themselves, dubbed machine learning. Because machine learning is such a promising leap forward in technological ability, it has the very real potential to affect every person in every field of business in the near future.

The Most Popular Language For Machine Learning and Data Science Is ... 5 Machine Learning Projects You Can No Longer Overlook, January Pandas Cheat Sheet: Data Science and Data Wrangling in Python Big Data and the Internet of Things don't make business smarter, Analytics and Data Science do Exclusive: Interview with Jeremy Howard on Deep Learning, Kaggle, Data Science, and more Generative Adversarial Networks - Hot Topic in Machine Learning Deep Learning Can be Applied to Natural Language Processing Great Collection of Minimal and Clean Implementations of Machine Learning Algorithms The Most Popular Language For Machine Learning and Data Science Is ... Big Data and the Internet of Things don't make business smarter, Analytics and Data Science do The Most Popular Language For Machine Learning and Data Science Is ... Big Data and the Internet of Things don't make business smarter, Analytics and Data Science do 5 Machine Learning Projects You Can No Longer Overlook, January 6 areas of AI and Machine Learning to watch closely Deep Learning Can be Applied to Natural Language Processing Exclusive: Interview with Jeremy Howard on Deep Learning, Kaggle, Data Science, and more The Most Popular Language For Machine Learning and Data Science Is ... Big Data and the Internet of Things don't make business smarter, Analytics and Data Science do

Thank you for subscribing to the monthly THINK Marketing newsletter. This post is part of our Cognitive College series where the industry's brightest minds explore different ways cognitive will revolutionize the way that we work and engage with customers. For decades, when one thought of the future, they thought of intelligent, thinking machines, be it Robby the Robot from Lost in Space, supercar KITT from Knight Rider, or the human-appearing Cylons from Battlestar Galactica. Today, if one mentions the words "artificial intelligence," many will think of IBM's Watson beating its human counterpart in a game of Jeopardy!. But where are the day-to-day thinking machines we assumed were right around the corner and promised to us from our Jetsons-viewing childhood?

What if you could hire Google as an employee--or even your Chief Marketing Officer (CMO)? Though artificial intelligence (AI) is in its early phases, the real allure is not that it could, someday, be just like a human being, but that it could be more than a human. After all, even the smartest person in your company doesn't have the wealth of information that Google does, all available in a microsecond. While humankind will likely never reach the speed or accuracy of AI in performing certain tasks, employees of the future will need to function in similar ways. They will need to pull from a broad range of knowledge to find the right answers, deliver results quickly, offer a variety of solutions to a single problem, be adaptable, consider the whole market or subject before offering a suggestion, and be consistent in their performance.