Demo day pitch: make your 5 minutes memorable - Duration: 8:45.

Besides your passport, what really defines your nationality these days? Is it where you were live? If it is, then despite an increase in "nationalism" (i.e., Brexit), we may see the idea of "nationality" quickly dissolve in the decades ahead… Or at least become an option you choose versus assume as a default. Residency, currency and language are rapidly being disrupted and dematerialized by technology. Increasingly, technological developments will allow us to live and work almost anywhere on the planet (and even beyond).

Japan plans to build the world's fastest supercomputer in a bid to arm its manufacturers with a platform for research that could help them develop and improve driverless cars, robotics and medical diagnostics. The Ministry of Economy, Trade and Industry will spend ¥19.5 billion ($173 million) on the previously unreported project, a budget breakdown shows, as part of a government policy to get back Japan's mojo in the world of technology. The country has lost its edge in many electronic fields amid intensifying competition from South Korea and China, which is home to the world's current best-performing machine. In a move that is expected to vault Japan to the top of the supercomputing heap, its engineers will be tasked with building a machine that can make 130 quadrillion calculations per second -- or 130 petaflops in scientific parlance -- as early as next year, sources involved in the project said. At that speed, Japan's computer would be ahead of China's Sunway Taihulight, which is capable of 93 petaflops.

What does a computer company want with a bunch of meteorologists? A few weeks ago, IBM announced it was acquiring The Weather Company, which owns Weather.com and Weather Underground, and the Wall Street Journal reported they were paying more than $2 billion for the privilege. According to The New York Times, while The Weather Company employs many atmospheric scientists and meteorologists, nearly three-quarters of its scientists work in data and computers. The Weather Company was already storing most of its data with IBM's cloud computing platform, and now Big Blue has access to all that data, which they can now sell to other companies who need to know about the weather. The ability to reliably predict the weather has always been important, but people wrongly assume that weather data is only useful to a handful of industries, like agriculture and transportation.

Software development has gone through massive paradigm shifts over the past decade. Once limited to developers with years of study or access to expensive servers, web development has now become a trade where bootcamps crank out developers in a matter of weeks. We are rapidly approaching our next paradigm shift, which will be AI-based code generation. When we reach that inflection point, web development will have officially died, and the labor force is woefully unprepared. Here are some of the paradigm shifts that have brought us to this point. WordPress launched on May 27th, 2003.

Google Brain's Neural Network AI has reportedly created its own universal language, which allows the system to translate between other languages without knowing them. By simply teaching the AI "how to translate from Portuguese to English and English to Spanish," the system was able to then translate from Spanish to Portuguese on its own without any outside guidance. "In the last 10 years, Google Translate has grown from supporting just a few languages to 103, translating over 140 billion words every day," declared Google in their research blog. "To make this possible, we needed to build and maintain many different systems in order to translate between any two languages, incurring significant computational cost. With neural networks reforming many fields, we were convinced we could raise the translation quality further, but doing so would mean rethinking the technology behind Google Translate." "In'Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation,' we address this challenge by extending our previous GNMT system, allowing for a single system to translate between multiple languages," they continued.

DeepMind, the British AI firm owned by Google's parent company Alphabet, has signed a new five-year deal to use data collected by the UK's National Health Service. The agreement with the NHS Royal Free Hospital Trust in London replaces a previous deal that attracted controversy over its lack of official oversight. Under the terms of the new deal, DeepMind will handle personally identifiable medical records for some 1.6 million patients, including medical history dating back five years. The agreement also includes stricter data regulation, including "technical audits" of DeepMind's systems. Using data from the Royal Free, DeepMind has built an app named Streams that alerts doctors when patients are in danger of developing acute kidney injury (AKI) -- a common but often overlooked condition.

On January 2016, the White House announced its aim to deliver a decade's worth of advances in cancer prevention, diagnosis, and treatment, in five years with this initiative. This initiative includes the building of an AI framework named CANDLE (Cancer Distributed Learning Environment) being developed by multiple organizations. It will help us change the way we understand cancer. READ MORE 6. "GPU Deep Learning has given us a new tool to tackle grand challenges that have, up to now, been too complex for even the most powerful supercomputers. Together with the Department of Energy and the National Cancer Institute we are creating an AI supercomputing platform for cancer research."

Abstract: Although Linear Regression is arguably one of the most popular analytical techniques, I believe it isn't understood well. Several fundamental assumptions are violated during application. The objective of this note is to provide an overview of the assumptions and possible fixes. Linear regression is arguably one of the most widely used techniques in the data science world. But, a comprehensive understanding of this technique is not universal and it is at a level that is less than desired.