By 2020, 25% of the American workforce will be over the age of 55 and approaching retirement, a phenomenon becoming known as the Silver Tsunami. While this could create a shortage of skilled workers in a number of fields including electric utilities, telecommunications, and manufacturing, augmented reality (AR) is poised not only to address issues faced by our aging workforce, but to fundamentality increase productivity by changing how all employees are trained in the future. In 2016, U.S. companies across industries spent nearly $1,000 in training per employee, largely delivered in traditional formats like classroom-based seminars and classes, and even online training modules that mimic that experience. This kind of learning has suited people's needs for centuries, particularly when learning was thought of as memorization with many cultures celebrating those who could recite long texts with exceptional rote skills. But as the breadth of human knowledge expanded, learning paradigms have changed with the works of John Dewey and others who recognized that understanding why information is important and how it relates to our world is true learning--and should be the goal.

Artificial Intelligence (AI) attracted $162M in investments across 12 deals in the first half of 2017, the highest amount of funding in Canada in the past five years, according to the MoneyTree Report from PwC Canada and CB Insights. Despite the record high in AI deals, investments in venture-backed companies based in Canada slowed down in the first half of 2017. Funding decreased to $885M in the first half of 2017 from $1.027B (14%) from the same period in 2016. The number of deals also decreased to 127 deals from 170 (25%) from the same period last year. Quarterly activity in Q2 2017 saw $400M deployed across 58 deals. This is a decline from Q2 2016 which saw $600M deployed across 58 deals.

While many people drink in the hope of drowning out unwanted memories, a surprising new study suggests this may not be an effective strategy. The study suggests that drinking alcohol improves your memory for information learned before the drinking episode began. While the reason for this remains unclear, researchers suggest that alcohol may block the learning of new information, giving the brain more resources to lay down recently learned information into long-term memory. While many people drink in the hopes of drowning out unwanted memories, a surprising new study suggests this may not be an effective strategy. The study looked at the effects of drinking alcohol in a natural setting on memory.

Editor's Note: This month, Elsevier Connect is exploring the personalization of technology in science and health. Today's scientists need to read and analyze an unprecedented amount of data and research. According to a recent report by IBM, 90 percent of the data in the world today has been created in the last two years alone and continues to grow rapidly. The number of peer reviewed articles published each year is growing too, with about 28,100 English-language journals publishing 2.5 million articles a year, according to The STM Report 2015. Not only do researchers need to make sense of more information; there are far more researchers they can connect and collaborate with over 7 million globally. These are some of the challenges students are tackling in the Intelligent Games and Games Intelligence program at Goldsmiths, University of London.

The phrase "Machine Learning" refers to the automatic detection of meaningful data by computing systems. In the last few decades, it has become a common tool in almost any task that needs to understand data from large data sets. One of the biggest application of machine learning technology is the search engine. Search engines learn how to provide the best results based on historic, trending, and relative data sets. When you look at anti-spam software, it learns how to filter email messages.

Which machine learning algorithm should I use?

Over the past year, Verto Analytics has published critical research identifying and tracking rapidly-emerging trends in consumer behavior, particularly on mobile devices. Hannu Verkasalo, CEO, Verto Analytics, introduces the conditions under which AI driven apps are influential, from the rise of multitasking to the continued influence of cross-device behavior on digital usage. One thing is clear, says the report: "consumer habits are changing faster than before, aided by an increasingly novel technologies and shorter device innovation cycles. The prevalence of Internet access, the rise of social media, e-commerce, and most recently, mobile apps, have all shaped how consumers behave with digital devices. Within the past few years, we've witnessed the rise of AI-powered apps, which harness cloud-based natural language processing (NLP) and machine learning to power a more sophisticated wave of apps and services," continues the introduction.

The artificial intelligence chipset market has a huge potential across various industry verticals such … Tweet According to the latest market research report titled Artificial Intelligence (AI) Chipset market, the overall artificial intelligence chipset market is expected to be worth USD 16.06billion by 2022, growing at a CAGR of 62.9% from 2016 to 2022. The artificial intelligence chipset market has a huge potential across various industry verticals such as retail, transportation and automation, manufacturing, BFSI, and agriculture, among others. The major factor driving the artificial intelligence market globally is the growing number of applications of AI technologies in various end-user verticals and the growing adoption of AI for the improvement of consumer services. The growth of the artificial intelligence market is also driven by the development of IT infrastructure and the penetration of Smartphone's and smart wearable in countries such as India and China. Artificial Intelligence products market expected to hold the largest market share from 2016 to 2022 The AI market by products is expected to hold largest market share from 2016 to 2022.

As companies increasingly turn to artificial intelligence to communicate with customers, make sense of big data and find answers to vexing questions, some say it's time to think about hiring a chief A.I. is going to be really important to some companies – enough to have top officers who will focus on just that," said Steve Chien, head of the artificial intelligence group for NASA's Jet Propulsion Laboratory in Pasadena, Calif. "And beyond that, you'll want every employee thinking about how A.I. Steve Chien is the head of artificial intelligence for NASA's Jet Propulsion Lab. is the chief data officer or the chief analytics officer because they understand how machine learning works."

We all know how difficult, distracted and stroppy some teenagers can be. Now, new research has shown that dogs go through a similar'teenage' growing-up phase when they hit 8 months. The discovery comes after owners of hundreds of dogs that were tracked as they grew up reported'adolescent' behaviour at eight months. Teenagers can be difficult, distracted and stroppy. The research was aimed at spotting those that would be suitable for training as guide dogs.