Nvidia Corp. has unveiled two more graphics processing unit (GPU) chips aimed at the fast-growing branch of artificial intelligence called deep learning. At the GPU Technology Conference currently underway in Beijing, Nvidia CEO Jen-Hsun Huang (pictured) introduced the Tesla P4 and Tesla P40 GPUs that form part of the Pascal architecture-based deep learning platform. The company had officially entered the deep learning market in April with the announcement of the 15-billion transistor Tesla P100 chip, aimed at deep learning. "With the Tesla P100 and now Tesla P4 and P40, Nvidia offers the only end-to-end deep learning platform for the data center, unlocking the enormous power of AI for a broad range of industries," said Ian Buck, general manager of accelerated computing at Nvidia. While the Tesla P100 focuses on training tasks, the Tesla P4 and P40 has been designed specifically for inferencing.

A simple Google image search for'women's professional hairstyles' returns the following: We're back in New York this November for the 4th edition of our growth-focused technology event. That is, until you try searching for'unprofessional women's hairstyles' and find this: In it, you'll find a hodge-podge of hairstyles sported by black women, all of which seem, well, rather normal. In fact, Boing Boing spotted this back in April. In five years, 10 years, 25 years, you can imagine how much of our lives will be dictated by algorithms.

Shares of tech companies rebounded after a stellar stock-market debut for a software company quieted fears about lack of appetite for new tech issues. Nutanix shares more than doubled on its stock-market debut after the maker of software for data management priced its initial public offering above expectations. Japanese conglomerate Softbank's Chief Executive Masayoshi Son said the company plans to invest around 4.5 billion in South Korea's technology sector over the next decade, expressing interest in emerging fields of smart robots, the "Internet of Things" and artificial intelligence.

This vendor-written tech primer has been edited by Network World to eliminate product promotion, but readers should note it will likely favor the submitter's approach. Everyone says there is an information security talent gap. In fact, some sources say the demand for security professionals exceeds the supply by a million jobs. Their argument is basically this: attacks are not being detected quickly or often enough, and the tools are generating more alerts than can be investigated, so we need more people to investigate those alarms. We believe that, even if companies aroaund the world miraculously hired a million qualified InfoSec professionals tomorrow there would be no change in detection effectiveness and we would still have a "talent gap."

Joey: I come to this restaurant called Greenspan Grilled Cheese, and oh my god, the sandwiches here are so fly, you wouldn't even believe it. If there was going to be a Joey Bada grilled cheese, what would be on it? Joey: It would be tuna, toasted bread, of course some nice cheese, tomato sauce and grapes, because that's how they make theirs. Joey: I'm going to be back in Brooklyn as soon as my tour is over. No Brooklyn shows coming up, but I'm sure we'll book one very soon.

Last of a four-part series on the faith many investors are placing in technology stocks -- and how they could be disappointed. The burgeoning fourth industrial revolution, featuring big data, robotics, 3D printing, and new ways to combat disease, isn't likely to have the powerful impact as the three that came before it. The impact of any period of sustained period of innovation on economic activity depends on the degree of the change, the effect on growth and productivity, its longevity, dispersion, and evolution. For example, this current, third industrial revolution (beginning in 1960) has focused on computing and telecommunications. The first industrial revolution, between 1750 and 1830, focused on coal, steam engines, railroads and textiles.

Brad Pitt and Angelina Jolie have come to a temporary, three-week agreement on custody of their six children, a person familiar with the negotiations said Friday. The deal was voluntary and doesn't reflect any ruling from the court regarding permanent custody, legal or physical, the source said. Both Pitt and Jolie agreed to get individual counseling, the source said, and Pitt offered to submit to drug and alcohol testing, which was not required. The couple agreed that Pitt's first visit with the kids would include a therapist, but there was no requirement for a monitor during subsequent visits. Decision-making for Maddox, 15; Pax, 12; Zahara, 11; Shiloh, 10; and 8-year-old twins Knox and Vivienne will follow a structured plan agreed to by both parents.

When John Guttag keynotes the HIMSS and Healthcare IT News Big Data and Healthcare Analytics Forum in Boston on October 24, the MIT professor will describe the unique challenges of applying machine learning to healthcare – as well as the huge potential for efficiencies and quality improvements as these data techniques become more widespread across the industry. Guttag, who heads the Data Driven Inference Group at the MIT's Computer Science and Artificial Intelligence Laboratory, and his MIT students are currently working closely with Mass General on integrating machine learning into clinical workflows, specifically with the aim of reducing healthcare-associated infections. "I want to actually see things change in the system, not just write papers saying things could change," Guttag said. "The goal here is to have something good happen. I hope a year from now I'm able to say, 'Guess what, we've lowered the rate of nosocomial infections at MGH – and more importantly put together a description of how we've done it that is exportable to other organizations.'"

Amazon Web Services has unveiled a new generation of GPU-powered cloud computing instances aimed squarely at customers running machine learning applications. The P2's a major step up from the previous generation of GPU-powered AWS instances, and it has plenty of memory to burn. But it's built with an earlier generation of GPU, so it's less suited for the bleeding-edge machine learning work that needs the most recent advances in GPU technology. Amazon is currently billing the G2 as suitable for "graphics-intensive applications," rather than machine learning specifically. The P2, on the other hand, is definitely for machine learning.

With online viewership and sales growing rapidly, enterprises are interested in understanding how they analyze performance to positively impact business metrics. Deeper insight into the user experience is needed to understand why conversions are dropping and/or bounce rates are increasing or, preferably, to understand what has been helping these metrics improve. The digital performance management industry has evolved as application performance management companies have broadened their scope beyond synthetic testing that simulates users loading specific pages at regular intervals to include web and mobile testing, and real user monitoring (RUM). As synthetic monitoring gained popularity, performance engineers realized the variations that exist from real end users were not being captured. This led to the introduction of RUM - the process of capturing, analyzing and reporting data from a real end user's interaction with a website.