The name Gordon Bell has become synonymous with lifelogging. Bell is the legendary engineer and researcher emeritus who recently retired from Microsoft. Bell started wearing a camera around his neck in 2000. He wore an automated one that took pictures every 30 seconds. He was the main subject in a long-term experiment called the MyLifeBits project while a principal researcher at Microsoft.

By 2025, robots, machine learning, and artificial intelligence will displace over one-third of all jobs. Machine learning and artificial intelligence will disrupt the enterprise and your career simultaneously. Because machine learning and artificial intelligence (AI) are bound to impact you, you should learn about it instead of burying your head in the sand. It's time to get comfortable with the future. AI is the search for intelligent behavior by software and machines.

Artificial intelligence is currently making a resurgence since the 1990s. Today, the focus is on machine learning and statistical algorithms. This shift has served AI well. Machine learning and statistics provide effective algorithm solutions to certain kinds of problems, such as board games, spam detection, voice and image recognition, etc. How is AI different today from 20 years ago?

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Boston Dynamics turned the spotlight to Atlas, the surprising humanoid robot that wowed the world. This time, Google's Atlas is better and more fit to face unpredictable terrains or attacks. One thing you may not know, is that Boston Dynamics was acquired by Google in 2013, hence they no longer pitch the press or even describe their newest innovations, but merely make YouTube videos about their results and refuse repeated requests for interviews. Here's a short list of organizations that will be standing in line to acquire the future, commercial versions of this Cylon-like robot. What we do know is that the newest version of Atlas is a little less ominous at just five foot nine inch tall and 180 pounds–hefty for that height.

It's been fascinating to watch the storm over Microsoft's AI Twitter chat bot, Tay, which learned extreme racism, homophobia, and drug culture from internet trolls and was hastily taken offline. As one commentator put, it went from saying "humans are super cool", to extolling Nazi values in less than 24 hours – a useful analog of extremism's connection with ignorance in a meme-propelled culture. But were trolls solely to blame? As journalist Paul Mason noted in his Guardian blog, Tay was essentially feeding off the deep undercurrents of prejudice and hate speech that lurk near the surface of many social platforms. Or at least they do in the West.

This blog is based on my talk in London at the Re.work Connected City Summit on Deep Learning Applications for Smart cities. The talk is based on a forthcoming paper created with the help of my students at UPM/citysciences on the same theme. Please email me at ajit.jaokar at futuretext.com or follow me @ajitjaokar for more details. Initially, we started off with the usual Smart City approach i.e. domains such as Security – Transport – Health – Governance – Environment etc Then, we were inspired by a statement "Man becomes the sex organs of the machine world – the bee of the plant world – enabling machines to evolve ever new forms" – Marshall McLuhan It indicates that disruptive innovations like Deep Learning and AI cannot be viewed in silos. What impact does it have on new services, culture, citizens?

"I think it's safe to say that this is the year of the bot," said CEO Beerud Sheth of messaging platform Gupshup. Richard Smullen says a painfully long wait for a Delta Air Lines customer service rep inspired him to join the world of artificial intelligence. One night about a year ago, having grown tired of waiting for a phone operator to change his flight, he turned to the airline's mobile app--only to find he had to scroll through pages upon pages, unable to get what he needed. In the middle of a formal dinner at the time, he decided it would be faster just to message his sister and have her do it for him. It took her two minutes.

They don't feel pity or remorse or fear, and they will absolutely not stop, ever. Which is fine if they are, say, helping you manage your finances rather than hunting you down to bring about the end of humanity. Real life artificial intelligence isn't the same murderous thing it is in science fiction (yet), but rather is a bundle of complex code and algorithms, carrying out tasks in a seemingly intelligent way. 'Deep learning' expands on this, allowing an AI to learn and adapt, making itself not only more useful and less susceptible to mistakes, but also more human-friendly. And it can be a very helpful tool.

First up was KPMG, which announced that it is signing up to IBM's "Jeopardy!"-winning Given the time, cost and (dare I say it) inane world of audit, this could be an interesting move. IBM is, of course, pushing Watson incessantly as its huge opportunity for growth -- it acquired The Weather Company partially as a vertical big data opportunity, but also for its huge data sets to continue improving Watson's performance. Healthcare, too, has seen IBM push its Watson luxe. But now financial services are the game, and KPMG advises that its consultants will use Watson to analyze massive volumes of financial data in order to detect anomalies.