Are the humans of finance an endangered species? People are still the lubricant that oils the wheels of finance, toiling at innumerable tasks--executing and settling trades, writing analysis, monitoring risk. Squeezed by low interest rates, shrinking trading revenue, and nimbler technology-based competitors, banks are racing to remake themselves as digital companies to cut costs and better serve clients. In other words, they're preparing for the day that machines made by men and women take over more of what used to be the sole province of humans: knowledge work. Consider venerable State Street, a 224-year-old custody bank that predates the steam locomotive and caters to institutional investors such as pensions and mutual funds.

Time Budget: 30 seconds Hi, my name is Matthias Langer. I am currently a PhD student at La Trobe University. Today I would like to present to you Inferno, which is a deep learning system that we develop here in Melbourne and can run on top of Spark. Time Budget: 30 seconds My talk will be structured as follows: I will talk with you a little bit about DL. … then about DL and Spark… … our own DL system …. Time Budget: 30 seconds Talking Points: So without further ado, let's start… Time Budget: 1 minute So, what is deep learning? Deep learning is machine learning algorithm that tries to extract hierarchical features from input data. In itself that is kind of similar to how the brain does it in this slide. So how does that work: Let's say a stimulus (or input) comes from the eye and eventually ends up in region V1. There primitive features like edges are extracted.

You don't have to be a Go champion to have artificial intelligence change your game. You get in your car and your Apple iPhone tells you what traffic looks like where you're going--before you ask. We're all on the road with Tesla's self-driving cars, which are redefining what driving means. The artificial-intelligence, calendar-assistant "Amy" emails three of your friends to figure out a meeting time that works for everyone--and nails it. Thankfully, chatting with Amazon's Alexa is a lot more entertaining than, say, chatting would be with Hal, the fictional artificial intelligence from the film 2001: A Space Odyssey.

Scikit-Learn is a popular library for Machine Learning in python programming language. If you want to test your knowledge with just a few lines of code, scikit-learn is what you need. From Linear and Logistic Regression to SVM and KNN, you name and scikit-learn has it. You will often need to prepare and transform your data in a form that is suitable for scikit-learn to use for training the models. Pandas is an awesome library for python which can be used for this purpose.

Charismatic CEOs enjoy leading and inspiring people, so they don't like delegating critical business decisions to smart algorithms. Who wants clever code bossing them around? But that future's already arrived. At some of the world's most successful enterprises -- Google, Netflix, Amazon, Alibaba, Facebook -- autonomous algorithms, not talented managers, increasingly get the last word. Elite MBAs (Management by Algorithm) are the new normal.

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Google has reportedly launched a new program to support promising AI ventures. The initiative will provide services ranging from mentorship to workspace, according to Axios. The most promising startups or projects may receive co-investments from the new initiative and Google Ventures ranging from $1 million to $10 million. A Google spokesperson declined to comment. The new initiative could have something to do with Google's recent acquisition of Kaggle, a data science startup that hosted competitions in which data scientists solve challenges provided by other companies.

The sheer number of cyber-attacks and threats present in today's world is considerable. As the number of threats we face grows at an exponential rate it has become harder for cyber experts to keep up. According to the Verizon Data Report, more than seventy percent of attacks exploit known vulnerabilities with available patches. Once the vulnerabilities become known to the hackers they take advantage of them within minutes. With the number of threats growing, costing an average of $445 billion worldwide and the industry facing a shortage of 1.5 million experts, it is taking longer to detect an mitigate attacks.

From 1958, since the invention of the first integrated circuit till 1965, the number of components or transistor density in an integrated circuit has doubled every year, marked Gordon Moore. So when Intel, the pioneer of chip developments adapted Moore's law as standard principle for advancing the computing power, the whole semi-conductor industry followed this outline on their chips. But then with the constant advancement, the electronics industry benefited from the Moore's standard method of designing processor chips till 50 years. The technology today is tending to design artificial intelligence technology that matches the super intelligence of human brain.

Human champion Ke Jie competes against AlphaGo at the Future of Go Summit. Two days ago in the Zhejiang Province of China, Google's Go-playing artificial intelligence AlphaGo bested current world Go champion Ke Jie in the first game of a three-part match, sliding by on a half-point victory. Now the second game has taken place -- and once again, AlphaGo has emerged the winner. The human gave it his all. "Incredible," wrote DeepMind founder and CEO Demis Hassabis on Twitter while the match was underway.