Carnegie Mellon's School of Computer Science will offer an undergraduate degree in artificial intelligence starting in the upcoming fall semester. The Pittsburgh-based school is the first to offer such a program in the US. Many industry experts believe there aren't enough qualified candidates in the workforce to fill all the vacancies that technology companies have for people with AI-related skills. This program could contribute quality candidates, though perhaps more importantly the prestige of Carnegie Mellon may spur other institutions to offer similar programs. Are you doing business in Amsterdam in May?

Harish is a data officer and an expert in artificial intelligence (AI)-powered data analytics with 15 years of experience working in aerospace, telecommunication, automotive, security, geospatial and biomedical industries. He is the President and Chief Scientific Consultant of Zero One Infinity Consulting (ZOIC) Services Ltd., an Ontario-based Research and Development (R&D) company. Previously, he was a chief engineer at Samsung Electronics, India and an assistant professor/lead at the Visual Signal Analysis and Processing (VSAP) research center at Khalifa University, UAE. Harish has also worked as a researcher, managing the R&D of Ministry of Defense (MoD) UK and European Union (EU)-funded projects at Lancaster and Manchester universities, UK. Harish is a strong engineering professional with a Ph.D. in Computer Science and an M.Sc. in Autonomous Systems from Loughborough and Exeter universities, UK, respectively.

The British government has announced ambitious plans to prevent an estimated 22,000 cancer deaths by 2033, through the use of artificial intelligence to predict those individuals at greater risk of developing the disease. The platforms being developed under funding from the British government are targeted at prostate, lung and bowel cancer. The specific aim of the platform is to detect individuals at a greater risk from these types of cancers earlier by assessing the millions of data points held by the National Health Service (NHS), drawing upon information contained in patient records, such as genetic information, and lifestyle factors. With lifestyle factors, this could include social media profiles. This will help to determine which patients to screen and when to refer people for medical assessments.

Sometimes the future shows up so fast it hits us in the face, like a brick wall in a VR headset. Other times the miraculous promises of technology--the rearrange ment of our very DNA, the blockchain- enabled toppling of Facebook--are frustratingly slow to arrive. But either way, the future is coming, and we should be ready. In the following pages we lay out a series of predictions, starting with some changes that are immediately upon us. Then, looking down the road, we get ever-bolder in our prognostications, year by not-so-far-off year. Hackers who disable power grids and detonate gas pipelines have been the villains of popular cyberparanoia for decades.

Artificial intelligence (AI) has fuelled science fiction for decades. Yet now, with technology having caught up with and overtaken human imagination, its capabilities are becoming science fact and too powerful for business leaders to ignore. AI, even in its relative infancy, is enabling C-suiters to redraw all aspects of their organisations. Those who embrace AI and related nascent digital technologies – automation, robotics, machine-learning, big data – are already gaining a significant advantage over laggards. "Everything invented in the past 150 years will be reinvented using AI within the next 15 years," predicts Randy Dean, San Francisco-based chief business officer at Launchpad.AI.

A health check of the world today may seem gloomy – antibiotics are failing, people are dying of easily treatable diseases because they're poor, and conditions such as dementia are on the rise. The scientists, researchers, investors and startups at the Francis Crick Institute in London were only too aware of the challenges – here's what we learned. Women account for almost 50 per cent of the world's population, but women's health technology hasn't updated for years – however, Tania Boler, CEO of London- and Berlin-based start-up Elvie, argued that's about to change. "We are witnessing three big trends," she told the room. "The big feminist surge, the tech revolution in connected devices and the paradigm shift towards individuals taking charge of their own health."

With so many R based Data Science & Machine Learning courses around, why this course? This means, this course covers MAIN ASPECTS of neural networks and deep learning. If you take this course, you can do away with taking other courses or buying books on R based data science. In this age of big data, companies across the globe use R to sift through the avalanche of information at their disposal. By becoming proficient in neural networks and deep learning in R, you can give your company a competitive edge –and boost your career to the next level.

The evolution of artificial intelligence has sparked debate on every aspect of humanity's future. Today, for instance, the Prime Minister is arguing in a speech that we should use genetic information to create programmes that can diagnose illnesses early on. But so far there are very few practical solutions on how to prepare our children for life in an era of advanced robotics. So will the classroom of the future have a machine teaching children their times tables, instructing them in foreign languages? I was recently a consultant on a new Automation Readiness Index with the Economist Intelligence Unit, which found that there is much still to do in the UK -- and globally, too.

Change comes hard in much of Europe, particularly in the defense community. But no less than in the United States, European nations are wrestling with the implications of machine learning and artificial intelligence -- in the military as well as civilian society. During several trips to Europe in the last six months, we have noted a significant uptick in the number of NATO political and military leaders discussing AI's impact on the alliance's military capability. There seems to be a two-speed discussion going on. European defense industry officials we talked to had no qualms about harnessing AI to reduce manufacturing costs and improve customer satisfaction.

YVERDON-LES-BAINS, Switzerland/CHICAGO: In a field of sugar beet in Switzerland, a solar-powered robot that looks like a table on wheels scans the rows of crops with its camera, identifies weeds and zaps them with jets of blue liquid from its mechanical tentacles. Undergoing final tests before the liquid is replaced with weedkiller, the Swiss robot is one of new breed of AI weeders that investors say could disrupt the US$100 billion pesticides and seeds industry by reducing the need for universal herbicides and the genetically modified (GM) crops that tolerate them. Dominated by companies such as Bayer, DowDuPont, BASF and Syngenta, the industry is bracing for the impact of digital agricultural technology and some firms are already adapting their business models. Herbicide sales are worth US$26 billion a year and account for 46 percent of pesticides revenue overall while 90 percent of GM seeds have some herbicide tolerance built in, according to market researcher Phillips McDougall. "Some of the profit pools that are now in the hands of the big agrochemical companies will shift, partly to the farmer and partly to the equipment manufacturers," said Cedric Lecamp, who runs the US$1 billion Pictet-Nutrition fund that invests in companies along the food supply chain.