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 atUPM/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?

There's been lots of talk during the past week about how artificial intelligence–the development of computer systems able to perform tasks that normally require human intelligence–is impacting the legal profession and the delivery of services. I saved the following to read later and thought our readers would also find them interesting. How AI is transforming the legal profession. How artificial intelligence is transforming the legal profession, ABA Journal – "Artificial intelligence is changing the way lawyers think, the way they do business and the way they interact with clients. Artificial intelligence is more than legal technology. It is the next great hope that will revolutionize the legal profession."

Building technology companies worth tens of billions of pounds often requires one or two exceptionally talented individuals with strong computer science backgrounds and entrepreneurial spirits. Finding these people can be time consuming and difficult, which is why a couple of UK organisations have turned to artificial intelligence and software. In the last month, Founders Forum, a network of successful startup founders and business leaders, and company builder Entrepreneur First, have both revealed they are using artificial intelligence (AI) and custom-built software to identify the UK's most promising founders. Founders Forum, set up by serial entrepreneur and lastminute.com "An AI simulates what a human might do but at scale; with more data and no bias," said Dr Tom Bowles, data scientist and founder in residence at Founders Factory, a startup accelerator launched by Brent Hoberman.

In 2011, IBM's new supercomputer named Watson beat two genius players in the television show Jeopardy! It was a battle of lexical knowledge. So why is everyone so excited that Google Deepmind's AlphaGo recently beat Lee Sedol, today's best Go player 4-1? Go, played on a 19 19 board is far more complicated than chess. Using black-and-white stones on a grid, players gain the upper hand by surrounding their opponents' pieces with their own.

The SAIL-Toyota Center for AI Research brings together researchers from fields such as visual computing, machine learning, robotics, human-computer interactions, intelligent systems, decision making, natural language processing, and dynamic modeling and design. The focus is on the development of innovative and impactful approaches, algorithms, and data. The approach includes research in perception, learning, reasoning, and interaction.

In a recent interview with Managing Editor Dan Collins, legendary trader William Eckhardt talked about the battle between optimization and curve fitting. While you always hope your great idea will lead to a winning system, how you select data to test that system can equally lead to success or failure. The excerpt below is from William Eckhardt: The man who launched 1,000 systems. Bill Eckhardt: By trying to improve your system you can make it worse. You can over-fit to past data or maybe just do something that is statistically invalid.

This workshop will attempt to present some of the very recent developments on non-convex analysis and optimization, as reported in diverse research fields: from machine learning and mathematical programming to statistics and theoretical computer science. We believe that this workshop can bring researchers closer, in order to facilitate a discussion regarding why tackling non-convexity is important, where it is found, why non-convex schemes work well in practice and, how we can progress further with interesting research directions and open problems.

With AI Scry, you'll never have to wonder how your iPhone would describe the world around you if it was capable of autonomous thinking. Available for iOS, AI Scry is a new app that generates automatic descriptions of whatever appears in front of your phone's camera. Don't miss our biggest TNW Conference yet! Created by Oakland-based art/technology studio Disc Cactus (or as it's stylized), the app aims to showcase the merits and weaknesses of machine learning technologies in a fun and entertaining manner. One of the developers who worked on the project, Sam Kronik, says that to give your phone a mind of its own it uses the open-sourced neural network Neural Talk introduced by Stanford scientist Andrej Karpathy.

When I first started investigating the world of deep learning, I found it very hard to get started. There wasn't much documentation, and what existed was aimed at academic researchers who already knew a lot of the jargon and background. Thankfully that has changed over the last few years, with a lot more guides and tutorials appearing. I always loved EC2 for Poets though, and I haven't seen anything for deep learning that's aimed at as wide an audience. EC2 for Poets is an explanation of cloud computing that removes a lot of the unnecessary mystery by walking anyone with basic computing knowledge step-by-step through building a simple application on the platform.

Nvidia has released a new state-of-the-art chip that pushes the limits of machine learning. The Tesla P100 GPU, which CEO Jen-Hsun Huang revealed yesterday at Nvidia's annual GPU Technology Conference, can perform deep learning neural network tasks 12 times faster than the company's previous top-end system. The P100 was a huge commitment for Nvidia, costing over 2 billion in research and development, and it sports a whopping 150 billion transistors on a single chip, making the P100 the world's largest chip, Nvidia claims. In addition to machine learning, the P100 will work for all sorts of high-performance computing tasks -- Nvidia just wants you to know it's really good at machine learning . To top off the P100's introduction, Nvidia has packed eight of them into a crazy-powerful 129,000 supercomputer called the DGX-1, which was also announced yesterday.