A leading anxiety in both the technology and foreign policy worlds today is China's purported edge in the artificial intelligence race. The usual narrative goes like this: Without the constraints on data collection that liberal democracies impose and with the capacity to centrally direct greater resource allocation, the Chinese will outstrip the West. AI is hungry for more and more data, but the West insists on privacy. This is a luxury we cannot afford, it is said, as whichever world power achieves superhuman intelligence via AI first is likely to become dominant. If you accept this narrative, the logic of the Chinese advantage is powerful.

White House officials called on the tech sector to help combat the coronavirus with AI in a meeting with Silicon Valley heavyweights on Wednesday. During the teleconference, US Chief Technology Officer Michael Kratsios previewed a new database of coronavirus-related literature that the government plans to release in the coming days, and challenged the tech community to use AI to find insights from the data. Cutting edge technology companies and major online platforms will play a critical role in this all-hands-on-deck effort. Today's meeting outlined an initial path forward and we intend to continue this important conversation. The roughly two-hour call was attended by government officials and tech giants including Amazon, Apple, Google, Facebook, Microsoft, IBM, Twitter, and Cisco.

Earlier facial recognition technology was considered as an idea of science fiction. But in the past decade, facial recognition technology has not only become real -- but it's widespread. Today, people can easily read articles and news stories about facial recognition everywhere. Here is the history of facial recognition technology and some ideas about its bright future. Facial recognition technology along with AI (Artificial Intelligence) and Deep Learning (DL) technology are benefiting several industries.

Technology has drastically evolved throughout the past decade. Many innovations have deeply influenced our lives such as smartphones, bitcoin, electric cars, and blockchain, but artificial intelligence (AI) definitely tops the list. AI has become vital in analyzing a large amount of unstructured data and identifying different patterns, relationships and perform process optimization in various domains including speech recognition, self-driving cars, computer vision, health care, fintech and now in software testing. We now have the ability to predict future behavior and discover patterns missed by the naked eye with the help of complex models that analyze large amounts of data. This becomes all the more important with the need to support the latest developments in software testing related to Agile Processes, DevOps and CI/CD integration.

The models you create have real-world applications that affect how your colleagues do their jobs. That means they need to understand what you've created, how it works, and what its limitations are. They can't do any of these things if it's all one big mystery they don't understand. "I'm afraid I can't let you do that, Dave… This mission is too important for me to let you jeopardize it" Ever since the spectacular 2001: A Space Odyssey became the most-watched movie of 1968, humans have both been fascinated and frightened by the idea of giving AI or machine learning algorithms free rein. In Kubrick's classic, a logically infallible, sentient supercomputer called HAL is tasked with guiding a mission to Jupiter.

From disruptive AI to the internet of things, technology trends will continue to shape the way we live and work in 2020. Last year saw breakthroughs from lab-grown meat to the development of smartwatches that help detect heart attacks, and the pace of development shows no sign of slowing. These changes are great news for MBA grads. According to a survey of corporate recruiters by the Graduate Management Admission Council (GMAC), the tech industry was one of the strongest sectors for MBA hiring demand last year--at CUHK Business School, for instance, 11% of MBAs were hired by tech companies after graduating. But what does 2020 have in store for the tech industry? Here are the five technology trends you should be on the watch for this year.

Now, I think there are very few people that disagree with the idea that the development of artificial intelligence needs some guardrails, and I applaud efforts to create a standard for the rest of the world to follow. The only issue is that the EU isn't exactly a world leader when it comes to AI. Speaking at Microsoft's Data Science and Law forum earlier this month, Guntram Wolff, director of Brussels-based economic think tank Bruegel, explained to me that of the 30 leading AI patents out there, only four are from European applicants. Of what are considered to be the 100 most exciting startups in AI from around the world, there are only two operating in Europe (excluding the UK, more on that later). Wolff has previously expressed doubt over the EU's ability to maintain relevance in this space, and has urged the EU to invest more in artificial intelligence or else risk an over-reliance on services from other countries, namely the US and China - services which could be disrupted or even withdrawn in times of crisis. I'm not going to touch on those issues, as Wolff has already expertly explored this in his Politico piece.

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AI is increasingly becoming part of everyday life. Here we focus on four uses that might surprise you. An innovative pilot scheme using artificial intelligence to assess potholes has saved more than £1m of taxpayers' cash, a council has said. Blackpool Council said it was the first local authority to use AI technology to detect damage to roads. It uses satellite images to inspect roads in seconds rather than sending engineers, and was trialled in Anchorsholme and Bispham.

Over the past few years, artificial intelligence has matured into a collection of powerful technologies that are delivering competitive advantage to businesses across industries. Global AI adoption and investment are soaring. By one account, 37 percent of organizations have deployed AI solutions--up 270 percent from four years ago.1 Analysts forecast global AI spending will more than double over the next three years, topping US$79 billion by 2022.2 Get the Deloitte Insights app. Deloitte's State of AI in the Enterprise, 2nd Edition offers a global perspective of AI early adopters, based on surveying 1,900 IT and business executives from seven countries and a variety of industries.3 These adopters are increasing their spending on AI technologies and realizing positive returns. Almost two-thirds (65 percent) report that AI technologies are enabling their organizations to move ahead of the competition.