About 17.4 million - that's the number of healthcare workers who are missing from the healthcare system globally. The human resources crisis in the medical sector is a burning issue, but with the aging and burn-out of physicians on the one hand, and the continuous rise in chronic diseases, on the other hand, it will even get worse year by year. Could artificial intelligence give a helping hand to doctors and ease the burden on healthcare systems? The Medical Futurist Institute published a paper that says it's possible, but first, we need to tackle a range of ethical and legal questions. Experts are pessimistic when it comes to the human resources situation in healthcare. There are worrying tendencies about the off-balance of supply and demand of medical professionals.

Prashant Rao, Head of Application Engineering at MathWorks India, and his team has worked with customers to enable the adoption of MATLAB and Simulink products for technical computing and model-based design. In this interview, Rao explains why it is important to focus on the complete solution and not just on the trained models in order to have a true AI system. He also sheds light on why deep learning models are used instead of machine learning models to train AI systems. We see AI as the capability or capacity of a system to take decisions autonomously, even when facing uncharted or untested situations. The main opportunities we see are incorporating AI to automate an important task of an overall system.

Consumers, retailers and farmers alike are hungry for the next generation of food, and investors are beginning to acquire the taste, too. Early-stage investment in agrifood tech startups reached $10.1 billion in 2017, a 29 percent increase on the previous year. Agrifood can be split into two parts. "Agritech" refers to technologies that target farmers. Jointly, the two have enough reach to impact every part of the production line, from farm to fork.

Since the agricultural revolution millennia ago, farmers have worked with their hands. Now, the next agricultural revolution might work with artificial intelligence. That's the vision of Sara Menker, a former Wall Street trader who left her lucrative job at 29 years old to start Gro Intelligence, a software platform for agricultural data and analytics. The company harvests large amounts of data from a variety of sources--weather stations, government agencies, trade organizations, to name a few--and processes it into a "language that normalizes all of it" for companies to build predictive models around agriculture. "One of the things we realized is that agriculture is not just four or five crops," Menker said Tuesday at the Fortune Most Powerful Women International Summit in Toronto.

What would you like to order?" Those are the words you might hear a robot say upon pulling up to a McDonald's drive-thru in the near future. That's because the fast-food company recently agreed to acquire a Silicon Valley-based company called Apprente, which aims to use artificial intelligence to automate the drive-through process. McDonald's hopes using artificial intelligence will not only reduce service time, but also boost profits -- customers might feel less anxious and more inclined to spend when they're dealing with a robot. The company said it might also use Apprente's technology in self-service kiosks someday, and that it plans to form a new group with Apprente employees called McD Tech Labs, which will help to automate drive-thrus. Apprente's system seems unique compared to other voice recognition systems, which normally use "speech-to-text" models that transcribe what a person says and then try to decipher the meaning.

Singapore's digital national trade platform has launched Tradeteq's AI-based credit scoring system to enable its users to better assess counterparty risk in trade deals. The system is being used to leverage various data sources to provide thorough credit reports for users of Singapore's Networked Trade Platform (NTP), including data on each company in the supply chain as well as each receivable. The NTP is a digital national trade information management system backed by the Singaporean government, which aims to make trade flowing through Singapore more efficient. Launched in September last year, the NTP brings the entire trade ecosystem to a single online location, digitising the trade processing process. It replaced two existing trade facilitation platforms in Singapore, TradeXchange and TradeNet.

Since the term was coined in 1956, "Artificial Intelligence" has endured a lifetime of misunderstanding. The root of the problem lies in the interpretation of the word "intelligence." In the words of legendary computer scientist Edsger Dijkstra: "The question of whether a computer can think is no more interesting than the question of whether a submarine can swim." If I were to ask you who is a better swimmer, would you choose Michael Phelps or the USS Illinois? Swimming is a human activity, certainly not something a submarine does.

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We are seeing a "possibility explosion" from exponential science and technology developments. Not only that, we are seeing the potential of the combinational impact of technologies that are being developed in tandem, e.g. What we know about these technologies is that they will drive dramatic and rapid change; in society, across industries, business, leisure, government, healthcare, and education. The boundaries between magic and science are blurring. There are some radical developments taking place, many of which we will see come to fruition during our working lives including mapping and uploading the human brain, and cognitive, genetic, physical and electronic enhancement of the human body.

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