On one otherwise unremarkable day in May 2013, August de los Reyes fell out of bed and hurt his back. Forty-two years old at the time, he was just six months into his dream job at Microsoft: running design for Xbox and righting a franchise that was drifting due to mission creep. At first, de los Reyes was worried that the fall was serious; he went to the ER and was assured that he was fine. Yet several hospital trips later, he found himself undergoing emergency surgery. His spine had been fractured all along. His spinal cord had been damaged. With breathtaking quickness, he was unable to walk ever again. De los Reyes has the reassuring smile and steady calm of a high-school guidance counselor, and an almost-spiritual attachment to video games. He likes to tell people that the universe is play, and that we all have a moral imperative to play.

Intelligence TV is a world?class team of dedicated machine learning entrepreneurs, luminaries and scholars -- a cogent growing force of true connoisseurs, innovative organizations and ultra-affluent leaders -- offering state of the art techniques from artificial intelligence to build the best deep learning algorithms: The experienced team at Billionaire Business Enterprises Inc. acts as a seasoned and trustworthy resource. Intelligence TV, in compliance with Executive Order EO: III EX[1-I], has a Jewel status in Billionaire Business Enterprises Inc.'s portfolio. Update: October 2015 -- We are preparing a worldwide PR campaing with major talk show appearances, a feature film and a television documentary. A tribute to Artificial Intelligence (AI) Bringing contributions by scholars recognized as the foremost authorities in AI, Big Data and Deep Learning, exalting ground?breaking Terms of Reference are developed in consultation with the Intelligence TV Stakeholders, the Program Overview Committee and the Service Line Advisory Group.

Are we looking for an algorithm that "If we all die, it would keep trading"? Should we be worried that electronic trading is mushrooming like airplane traffic, while we are not paying that much attention? Today, I'll look for AI pigments of incremental changes in algorithmic trading, first on Wall Street and then outside, in the Fintech startup world. I am not including the HFT space because it is a particular space driven by speed and merits a separate post because of its politically sensitive angle (Michael Lewis's babe). Renaissance Tech and Two Sigma, are probably the most recognizable names in old fashioned quant trading space.

Is fear all in the mind? Experiments on twins who can't feel fear are suggesting that some emotions are experienced only after we become aware of changes to our body. Many studies have shown that the amygdalae – two almond-shaped regions near the centre of the brain – are crucial for feeling fear. People who have lost their amygdalae through brain injury or disease also lose the ability to feel fear. In 2013, Justin Feinstein at the University of Iowa in Iowa City and his colleagues managed to scare three "fearless" people – two female identical twins and a woman known as S.M., none of whom have amygdalae – by getting them to inhale carbon dioxide, making them choke.

Nearly a decade after the iPhone broke the mould, is the evolution of the smartphone finally come to an end? Industry experts believe innovation is giving way to phone functions popping up as software or services in devices from cars to fridges and to watches and jewellery. Even Apple now treats older, smaller 4-inch screens as something new. And analysts and product designers said fresh breakthroughs are running up against the practical limits of what's possible in current hardware in terms of screen size and battery life. Industry experts believe innovation is giving way to phone functions popping up as software or services in devices from cars to fridges and to watches and jewellery.

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Cherubic Ventures, an early-stage VC firm with a focus on the U.S. and Asia, has announced a new fund targeted at 120 million. Fundraising is still ongoing, and founder-managing partner Matt Cheng told TechCrunch that the firm currently has 80 million in confirmed commitments from LPs. Cheng started Cherubic back in 2010 after spending time with Chinese social portal Tian Ge Interactive and C Squared Venture Capital. Today, its portfolio includes close to 90 companies worldwide, such as Hyperloop, Luxe and Wish in the U.S., Cloud Union and Liulishuo in China, and Pinkoi and Chadal in the wider Asian continent. The firm has offices in Beijing, Taipei and San Francisco but, alongside the announcement of the fund, Cheng said it had opened a new headquarters in Shanghai. That will house around half of the firm's team, which Cheng expects will increase to 12 this year.

Machine learning is generating a tremendous amount of attention these days from the press as well as the practitioners. And rightly so – machine learning is a transformative technology. But despite the references to the topic, the money raised from venture capitalists, and the spotlight that Google is bringing to the subject, machine learning is still poorly understood outside of a core group of highly technical leaders. This has the effect of underestimating how transformative machine learning is going to be. It also has the effect of shielding business leaders from what they need to do to prepare for the era of machine learning.

Today is a big day for whatGoogle just bought a startup that takes the pain out of editing videos. Read more ... » very well could be the next big business at GoogleGoogle Acquires Fly Labs To Bring Photo Editing To Google Photos. In San Francisco, the company is holding its first cloud userMicrosoft Dynamics AX Upgrade Integrates Power BI, Machine Learning. Read more ... » conference, a perch to show off its product and win more paying customers. Keynotes will come from new enterprise boss Diane Greene and Urs Hölzle, its veteran infrastructureGoogle Just Open Sourced TensorFlow, Its Artificial Intelligence Engine. Also on the slate is Nicholas Harteau, the engineeringMicrosoft Invests 1 Billion In'Holistic' Security Strategy.

The Second National Data Science Bowl, a data science competition where the goal was to automatically determine cardiac volumes from MRI scans, has just ended. We participated with a team of 4 members from the Data Science lab at Ghent University in Belgium and finished 2nd! The team kunsthart (artificial heart in English) consisted of Ira Korshunova, Jeroen Burms, Jonas Degrave (@317070), 3 PhD students, and professor Joni Dambre. It's also a follow-up of last year's team Deep Sea, which finished in first place for the First National Data Science Bowl. This blog post is going to be long, here is a clickable overview of different sections. The goal of this year's Data Science Bowl was to estimate minimum (end-systolic) and maximum (end-diastolic) volumes of the left ventricle from a set of MRI-images taken over one heartbeat. These volumes are used by practitioners to compute an ejection fraction: fraction of outbound blood pumped from the heart with each heartbeat.