Golden parachutes can't seem to stay out of the news. Last year, Jeff Smisek, the former CEO of United Airlines, received a separation payment of 4.875 million in cash along with additional equity awards and other benefits for a total of close to 37 million after being ousted from his company. Can it also transform the nation? Hillary Clinton was campaigning for her husband in January 1992 when she learned of the race's newest flare-up: Gennifer Flowers had just released tapes of phone calls with Bill Clinton to back up her claim they had had an affair. We tend to associate salads most closely with spring and summer, when fresh produce is at its peak and when we're all in the mood for lighter, fresher-tasting meals.

Besides being a major player in the earthquake prediction method discussed here, the ionosphere is important because it's the layer of the atmosphere that reflects electromagnetic waves back to Earth and enables radio communication. There was increased ionization over Japan before the 2011 Tohoku earthquake and a spike in radio wave emissions near Haiti before the 2010 quake there. Enough historical data linking ionospheric activity to earthquakes needs to be collected in order to generate patterns, and the patterns then need to be matched to real-time data. When the Tohoku earthquake hit, Tokyo residents received a one-minute warning via Japan's earthquake early warning system.

Artificial intelligence isn't just helping you work more effectively... it can help you find work, too. Source{d} is running a job service that matches programmers with employers by using a "deep neural network" to scan open source code for relevant qualities. And it's not just about understanding whether or not you can write well in a given language, either. The AI can even look for coding styles that match the methods of a given company, so you may land a position simply by fitting in more gracefully than anyone else. Of course, the approach doesn't rely exclusively on algorithms.

Data continues to inhabit every facet of human existence and so the need for competent Data Scientists to help leverage the insights from that data will invariably increase for the foreseeable future. According to a past EMC Data Scientist Study and the 2015 Global IT Report, the amounts of data created by the year 2020 will be upwards to 44 times what they were in 2009. Data Scientists use Machine Learning (ML) skills to develop powerful algorithms to make sense of the avalanche of data. Thus, Data Scientists with superior Machine Learning skills will be the transformative heroes of the digital world. Machine Learning teaches computers to conduct particular tasks like pattern diagnosis and recognition, planning, or prediction without the presence of any programming control ML generates "algorithms" that turn into self-teaching entities when exposed to data.

SAN FRANCISCO – Alphabet Inc.'s Google on Tuesday announced a new Pixel smartphone and a virtual reality headset, making a concerted move into home electronics and challenging Apple Inc.'s iPhone at the high end of the more than 400 billion global smartphone market. The string of announcements, including the 649 Pixel, a new Wi-Fi router and its voice-activated digital assistant for the living room, Home, is the clearest sign yet that Google intends to compete directly with Apple, Amazon.com and even its own Android mobile operating system customers to create a world of integrated devices and services that meet every digital need. The moves also show Google is taking tighter control of its products. Google lets Android device makers modify software almost without limit, which has helped make Android the most-used mobile operating system in the world. But company executives boasted that the Pixel was developed in-house from start to finish and gives it a direct hand on a platform for the distribution of its internet-based services.

As recently as 2013, the [deep learning] space saw fewer than 10 deals. Computer Vision: Startups here are using deep learning for image recognition, analytics, and classification. Aerial image analytics startup Terraloupe was seed-funded this year by Germany-based Bayern Kapital. New York-based Calrifai -- backed by investors including Google Ventures, Lux Capital, and NVidia -- entered the R/GA accelerator this year, after raising 10M in Series A in Q2'15. Captricity, which extracts information from hand-written data, has raised 49M in equity funding so far from investors including Social Capital, Accomplice, White Mountains Insurance Group, and New York Life Insurance Company.

Artificial intelligence, once restricted to NASA and sci-fi movies, is gradually becoming a prominent buzzword in the world of marketing technology. However, the widespread adoption of artificial intelligence in marketing is likely several years away as its application is not yet fully developed. But innovations taking place now are setting the stage for artificial intelligence and, more specifically, machine learning, to become a marketing standard in the near future. Many use the two terms of artificial intelligence and machine learning interchangeably; because they are so closely related, it is difficult to establish clear boundaries between them. While artificial intelligence refers to technology that has the cognitive capabilities to solve problems, machine learning allows marketers to learn and understand, among other things, how content is consumed, and helps them predict consumer behaviors based on data patterns and algorithms.

Google is taking a page from Apple's playbook by making a bigger push to build its own hardware. Rick Osterloh, head of Google's new hardware group, said that in doing so, Google can take full advantage of capabilities it's designing with artificial intelligence and machine learning. Apple has long designed both iPhone hardware and the iOS operating-system software that runs on it. Now, Google is doing the same with the upcoming Pixel phones running Google's Android system. The Pixel is one of several gadgets Google announced Tuesday in San Francisco.

Healthcare organizations are struggling to find ways to manage the risks of massive data breaches, which have proven hard to detect, often taking months to discover. In 1996 the Health Insurance Portability and Accountability Act (HIPAA) was enacted. The Accountability portion of the law requires that healthcare providers protect the privacy of patient health information and includes security measures that must be followed. Provider success has been mixed and has recently come under intense scrutiny due to the number and size of reportable breaches of health information. There are several major contributors to this increase. The first is the passage of the American Recovery and Reinvestment Act of 2009.

This project uses deep learning to upscale 16x16 images by a 4x factor. The resulting 64x64 images display sharp features that are plausible based on the dataset that was used to train the neural net. Here's an random, non cherry-picked, example of what this network can do. From left to right, the first column is the 16x16 input image, the second one is what you would get from a standard bicubic interpolation, the third is the output generated by the neural net, and on the right is the ground truth. As you can see, the network is able to produce a very plausible reconstruction of the original face.