In the west, AI and machine learning startups and tech giants of all stripes have been doing the M&A dance. Activity in Asia has been decidedly quieter, with AI research and development mostly happening at the institutional and corporate level. While Japan's Toyota is putting in $1 billion to ramp up AI research, mainly into autonomous vehicles, the South Korean government is also reportedly injecting $860 million into an AI research institute. "I think the quality of AI research and development between Asia and the west is very even.

How will AI shape the average North American city by 2030? A panel of experts assembled as part of a century-long study into the impact of AI thinks its effects will be profound. The One Hundred Year Study on Artificial Intelligence is the brainchild of Eric Horvitz, technical fellow and a managing director at Microsoft Research. Every five years a panel of experts will assess the current state of AI and its future directions. The first panel, comprised of experts in AI, law, political science, policy, and economics, was launched last fall and decided to frame their report around the impact AI will have on the average American city.

Artificial intelligence will have a significant and lasting impact on the ways we live and work. As the AI era continues to unfold, the idea of a future driven by artificial intelligence can evoke mixed emotions. Microsoft (NASDAQ:MSFT) co-founder and Chairman Bill Gates referred to AI as the "holy grail" in computer science. On the other hand, and taking a far more apocalyptic perspective, Tesla CEO Elon Musk likened the development of artificial intelligence technologies to "summoning the demon ." Regardless of our feelings on the matter, artificial intelligence is set to play an increasingly prominent role in our day-to-day lives.

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While Deep Learning has shown itself to be very powerful in applications, the underlying theory and mathematics behind it remains obscure and vague. Deep Learning works, but theoretically we do not understand much why it works. Some leading machine learning theorists like Vladimir Vapnik criticise Deep Learning for its ad-hoc approach that gives a strong flavour of brute force rather than technical sophistication. Deep Learning is not theory intensive; it is empirical based more (hence causing battle of viewpoints between empiricism and realism) and relies on clever tweakings [1].[1] This is why'Deep Learning' is viewed as a black box and why we preferred to use Theano instead of other packages as it allowed us better view inside the workings of the model (which is still not enough to fully overcome the black box criticism).

Accordingly, attendees at the upcoming 20th Cloud Expo at the Javits Center in New York, June 6-8, 2017, will find fresh new content in a new track called FinTech, which will incorporate machine learning, artificial intelligence, deep learning, and blockchain into one track. Financial enterprises in New York City, London, Singapore, and other world financial capitals are embracing a new generation of smart, automated FinTech that eliminates many cumbersome, slow, and expensive intermediate processes from their businesses. FinTech brings efficiency as well as the ability to deliver new services and a much improved customer experience throughout the global financial services industry. FinTech is a natural fit with cloud computing, as new services are quickly developed, deployed, and scaled on public, private, and hybrid clouds. More than US$20 billion in venture capital is being invested in FinTech this year.

There's a harsh reality we need to face--a robotic, AI-driven Shakespeare is nowhere in sight. No robot will write verse that influences English the way Bard's did anytime soon. You won't find an AI spitting rhymes like Rakim or Nas, either. But if your standards aren't too high, there is some AI-constructed poetry you can read today. Take an AI that uses the recurrent neural network language model technique, feed it thousands of romantic novels to learn language from, give it a starting sentence and an ending sentence, instruct it to fill the gap between them, and you'll get something like this: This AI, designed by Google, Stanford University, and the University of Massachusetts, isn't supposed to be the world's first artificial poet--it's just a side effect. But if you keep in mind that the AI generated all of the sentences except the first and last on its own, it's impressive that they all make sense and have a common theme.

Tech is about to change dramatically next year. Want to stay up to date? In each section, a designer explains all of the details. Which one is already on your radar? I want to hear your viewpoints, so drop me an email.

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To learn to drive like a human, driverless cars will require massive amounts of data, programming, and computing power. According to a new report from KPMG, deep learning and other machine learning technologies could significantly change the automotive and transportation industries. By 2030, these advances could be worth $1 trillion. In the report, titled, "I see. To allow it to turn right after red? Except in New York where it is always illegal? Or where it is specifically forbidden? What if there is a pedestrian in the crossing? What if someone breaks the law and runs the red light in front of you? What if a bicycle comes speeding past you in the wrong direction?"