Last week, I bought a selection of clothes recommended by an online personal stylist: a pair of skinny Topman jeans, a perfectly fitting white T-shirt from Jack & Jones, and most daringly – for me, anyway – some khaki chino shorts by Pull&Bear. We'd carried out the consultation online, with me sharing not only obvious information like my size, desired price range and "daringness" (with "daring" defined as wearing floral shirts or shorts with blazers), but also helping her work out my actual style preferences by telling her brands I like and flicking through endless pictures of well-dressed men to highlight the looks I want. This is no AI horror story, though. My stylist Sophie Bailey-Hine is very real, and her and her colleagues at Thread, a British startup that was founded in 2012, are currently helping 480,000 men find a new image, dress well, or simply sort out their clothes shopping. There is one small twist: Thread has just eight stylists.

Some of society's brightest minds have warned that artificial intelligence (AI) may lead to dangerous unintended consequences, yet leaders of the U.S. intelligence community--with its vast budgets and profound capabilities--have yet to decide who within these organizations is responsible for the ethics of their AI creations. When a new capability is conceived or developed, the intelligence community does not assign anyone responsibility for anticipating how a new AI algorithm may go awry. If scenario-based exercises were conducted, the intelligence community provides no guidelines for deciding when a risk is too great and a system should not be built and assigns no authority to make such decisions. Intelligence agencies use advanced algorithms to interpret the meaning of intercepted communications, identify persons of interest and anticipate major events within troves of data too large for humans to analyze. If artificial intelligence is the ability of computers to create intelligence that humans alone could not have achieved, then the U.S. intelligence community invests in machines with such capabilities.

About NVIDIA NVIDIA (NASDAQ: NVDA) is a computer technology company that has pioneered GPU-accelerated computing. It targets the world's most demanding users -- gamers, designers and scientists -- with products, services and software that power amazing experiences in virtual reality, artificial intelligence, professional visualization and autonomous cars. Certain statements in this press release including, but not limited to, statements as to: the benefits and impact of the NVIDIA Inception Program; NVIDIA's commitment to help companies related to artificial intelligence; and funding through NVIDIA's GPU Ventures Program are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners' products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the reports NVIDIA files with the Securities and Exchange Commission, or SEC, including its Form 10-Q for the fiscal period ended May 1, 2016. Copies of reports filed with the SEC are posted on the company's website and are available from NVIDIA without charge.

Governor Inslee's op-ed for CNBC published July 12, 2016 America's advantage in the knowledge-based economy is our human capital. Well-educated, highly-trained, creative-thinking people are essential to the most innovative companies and successful entrepreneurs in the world today. Skilled people are the currency of economic development for states in the 21st century. Why are nearly 95 percent of all the commercial aircraft in North America built in Washington state? Why is our Puget Sound region the cloud computing capital?

In the beginning, marketing automation platforms grew other channels and tools around their core of email marketing. The basic mode involved if/then rules: if a customer takes this action, show this response. But overlapping campaigns with if/then rules become very complicated very quickly, especially when you're talking about millions of customers, each one in a different frame of mind, and each expecting his/her own personalized experience. As a result, marketing platforms are evolving from their traditional if/then campaigns to the newer approach of customer journeys that are often guided by machine learning. It's the difference between setting up all the rules for the encounter on the one hand, B2B marketing startup YesPath CEO Jason Garoutte told me, and employing something like Netflix's recommendation engine, on the other. "Netflix doesn't write rules about what [movie] you should watch next," he pointed out.

In classical sculpture there is a great emphasis on movement. In the world of robotics, the emphasis is on actual motion. For the last several years Riga, Latvia-based new media sculptor Krists Pudzens has been fusing the two disciplines with his "electromechanical art." In his first major exhibition, SHIFT, Pudzens showcases a number of kinetic and interactive works created between 2007 and 2014. The show features seven objects that explore various types of perception like audio, visual and tactile sensations, but also function as "closed, introverted" systems with distinct appearances and movement.

Here's What We Can Expect from Deep Learning in 2016 and Beyond

The author recently completed a wonderful course in Machine Learning taught by Prof Andrew Ng of Stanford on Coursera. Machine Learning, more popularly known as Artificial Intelligence or AI is not a new topic. AI has been in the making for over 60 years. But it has started delivering creditable results in the last few years. The success of the driverless car has captured the popular imagination but progress in the areas of image recognition, natural language processing and anomaly detection is no less impressive and has applications across sectors.

Every time a Pokemon Go fan drains a smartphone battery chasing virtual monsters, it's a reminder that chip technology has a long way to go. The company poised to push the boundaries of mobile computing is ARM Holdings Plc, which has built a business designing chips that squeeze the most out of limited battery capacity on mobile devices, dominating 85 percent of the market. Masayoshi Son built SoftBank Group Corp. by making big, early bets on personal computers, broadband and smartphones. Now, he's spending 32 billion to buy ARM, gambling that the company's chips will find their way into self-driving cars, virtual-reality devices and machines with artificial intelligence. Pokemon Go, the hit game that relies on power-hungry GPS and camera functions to work, is showing people the limits and capabilities of their smartphones.

When a new capability is conceived or developed, the intelligence community does not assign anyone responsibility for anticipating how a new AI algorithm may go awry. A computer algorithm issues orders to buy a stock and floods the market with hundreds or thousands of apparently separate orders to buy the same stock. Other algorithms take note of this sudden demand and start raising their buy and sell offers, confident that the market is demanding a higher price. The first algorithm registers this response and sells its shares of stock for the newly higher price, making a tidy profit.