Deep Learning's Killer App for Finance?


Yann LeCun, arguably the father of modern machine learning, has described Generative Adversarial Networks (GANs) as the most interesting idea in deep learning in the last 10 years (and there have been a lot of interesting ideas in Machine Learning over the past 10 years). From a trading perspective, or any game theoretic activity in which the game itself constantly evolves, GANs are big news. This is wrong, because it doesn't address the evolution of the game and the other players. It also comes up with all kinds of nonsense based on spurious correlations. Bigger data set more false positives.

Retail banks embracing AI and bots to catch up with fintech upstarts


Consumers have been paying their bills online and managing their finances for a couple of decades now, but big banks still remain laggards when it comes to adopting AI solutions that can improve their service to customers, a group of panelists who spoke about fintech at MB 2017 said. "Banks have a giant base of customers, and it's hard to move them all. Many people still prefer to go a bank branch to do their banking," said Dion Lisle, VP of fintech at Capgemini. "I hate to say this, but I think we're seeing a lot of'innovation theater.'" Some banks are moving faster than others, but even the laggards will feel pressure to adopt more AI features soon enough.

Building Solutions Using AI, Blockchain, and IoT [Video] - DZone IoT


As part of the IoT Slam 2017 conference, I presented on using the combined power of artificial intelligence, blockchain, and the Internet of Things to build intelligent connected products. For details on the talk, you can see my abstract here.

Flipboard on Flipboard


How do we make sure we're designing artificial intelligence that takes human behavior into account? How do you integrate machine learning into a product or service while ensuring that it doesn't perpetuate bias, oversimplify nuance, or bombard everyone with fake news? To put it bluntly, how do we design algorithms that aren't evil? Google's AI research division, Google Brain, says it's on a mission to find out. On Monday, the company announced a new research program called the People AI Research initiative (PAIR for short) that's all about understanding how humans interact with machine learning.

Governments have to invest in the fourth industrial revolution Larry Elliott


Prepare for the age of the driverless car and the robot that does the housework. That was the message from the World Economic Forum earlier this year as it hailed the start of a new industrial revolution. According to the WEF, the fourth big structural change in the past 250 years is upon us. The first industrial revolution was about water and steam. The second was about electricity and mass production.

Ryan Gosling reveals more of 'Blade Runner 2049' on Twitter


Blade Runner 2049, the sequel to one of the most lauded science fiction films of all time, just leaked out a bit of new footage, and it's dystopian futurism at its best. SEE ALSO: 'Valerian and the City of a Thousand Planets' launches a thousand mixed reviews The new footage was posted by the film's star, Ryan Gosling, on Twitter on Sunday. It's super short (just 21 seconds long), but for anyone who has been anxiously waiting for any new sights from the future world of robot replicants made famous by Ridley Scott and Harrison Ford, even a short look is welcome. Gosling says this is just a preview of the full trailer, which will be revealed on Monday on Good Morning America. Directed by Denis Villeneuve (Arrival, Sicario), the film stars Gosling, Ford, Edward James Olmos (along with Ford, another carryover from the original), Robin Wright, Mackenzie Davis (Halt and Catch Fire, Black Mirror) and Jared Leto, and will hit theaters on October 6.

Australia to Make It Easier to Deploy Military for 'Terrorist Incidents'

U.S. News

SYDNEY (Reuters) - Australia's military will be more readily deployed to respond to "terrorist incidents" on home soil under proposed changes to laws announced by the government on Monday. The government said in a statement that state and territory police forces remained the best first response, but the military could offer additional support to enhance their capabilities. Australia has seen a series of "lone wolf" Islamist-inspired attacks, prompting a review of police tactics and the powers of state and federal authorities. "The key thing we need is the most flexible possible arrangements -- the threat's changed very significantly," Justice Minister Michael Keenan told the Australian Broadcasting Corporation on Monday. Under the proposed law changes, state and territory governments would be able to call for military aid before the ability to respond to an incident exceeds the capabilities of their police forces.



Let me use this space to discuss about some of the main topics of my PhD thesis: "Big Data, Cognitive Extension, Self-organizing Processes and Economic Development". My research was born as an effort to improve my comprehension of the emerging phenomenon "Big Data" and its potential impacts on the Economy, in particular Economic Development and fight against poverty. The first part explores how the phenomenon of Big Data may fit within Economic Theory. A new analytical framework is defined that will allow to link Big Data, human's cognitive extension, self-organizing processes and Economic Development.

Data Science Simplified: Key Concepts of Statistical Learning


In the first article of this series, I had touched upon key concepts and processes of Data Science. In this article, I will dive in a bit deeper. First, I will define what is Statistical learning. Then, we will dive into key concepts in Statistical learning. Believe me; it is simple.

Are AI and "deep learning" the future of, well, everything?


You might not know it, but machine learning already plays a part in your everyday life. When you speak to your phone (via Cortana, Siri or Google Now) and it fetches information, or you type in the Google search box and it predicts what you are looking for before you finish, you are doing something that has only been made possible by machine learning. However, this is just the beginning: with companies such as Google, Microsoft and Facebook spending millions on research into advanced neural networks and deep machine learning, computers are set to get smarter still. This is a story about how ingenious algorithms and code are giving computers the ability to do things we never previously thought possible. Machine learning and deep learning have grown from the same roots within computer science, using many of the same concepts and techniques.