Chris Olah at Google Research has, in a blog post on Tuesday, spelled out the five big questions about how to develop smarter, safer artificial intelligence. The post came alongside a research paper Google released in collaboration with OpenAI, Stanford and Berkley called Concrete Problems in AI Safety. It's an attempt to move beyond abstract or hypothetical concerns around developing and using AI by providing researchers with specific questions to apply in real-world testing. "These are all forward thinking, long-term research questions -- minor issues today, but important to address for future systems," said Olah in the blog post. Google has made no secret about its commitment to AI and machine learning, even having its own dedicated research branch, Google DeepMind.

Hisashi Taniguchi took a sabbatical from developing software for driverless taxis and drones to pilgrimage to a Buddhist temple in western Japan. He shaved his head, donned black robes and studied to become the shrine's leader. He passed the test, yet within a week was back at the Tokyo offices of ZMP Inc., overseeing his robotics company in a more-typical wardrobe of jeans and red Converse sneakers. As ZMP's founder and chief executive officer, he tries to sync millennia-old teachings with efforts to make artificial intelligence part of everyday life. "The temple teaches you that if you shine, you'll shed light on those around you," Taniguchi, 52, said.

Now your videos of surfing, skiing, snowboarding, motocross…and all those other zany activities will be easier than ever to edit, thanks to machine learning and a new attachment known as Pik'd. Pik'd is meant to help you ensure that fun and adrenaline are the protagonists of your footage, and not much time or concern needs to be devoted to post-production. The communication between the technologies works automatically, so the user doesn't have to manipulate the device. All you have to do is attach the tech to your GoPro and record. Once the images have been captured, connect the camera to the computer and open the Pik'd software, which will be supplied free of charge.

Do you get squeamish when someone dies on Game of Thrones? Or maybe you're worried your favorite character is about to get killed, and you can't bear to watch. Researchers at MIT have developed an algorithm that can predict what's going to happen next in a video, giving you an opportunity to look away first. The algorithm, developed at MIT's Computer Science and Artificial Intelligence Laboratory, is slowly trying to learn a skill that humans spend their entire lives refining and perfecting. Through countless interactions and experiences with others, we're able to accurately predict what will happen when two people meet or depart--be it a handshake, a hug, or a kiss.

Keras is a simple and powerful Python library for deep learning. Given that deep learning models can take hours, days and even weeks to train, it is important to know how to save and load them from disk. In this post you will discover how you can save your Keras models to file and load them up again to make predictions. Save and Load Your Keras Deep Learning Models Photo by art_inthecity, some rights reserved. Model weights are saved to HDF5 format.

Big data has already made fundamental changes to the way businesses operate. There are huge advantages for companies who can derive value from their data, but these opportunities come with challenges, too. For some, this is the challenge of acquiring data from new sources. For others, it is the task of building a scalable infrastructure that can manage the data in aggregate. For a brave few, it means extracting value from the data by implementing advanced analytic techniques and tools.

From ISC 2016 in Frankfurt, Germany, this week, Intel Corp. launched the second-generation Xeon Phi product family, formerly code-named Knights Landing, aimed at HPC and machine learning workloads. The company had been shipping "Knights Landing" silicon to early customers for the last six months and was waiting to ramp up production before making the product generally available. The window also gave OEMs time to complete their readiness, said Intel's Charlie Wuischpard, vice president of the Data Center Group and general manager of High Performance Computing Platform Group, in a media pre-briefing. Those OEMs include the usual names: Cray, HPE, Lenovo, Dell and others. The most distinguishing feature of the chip is that it's a bootable host CPU -- unlike its predecessor "Knights Corner," which is a coprocessor that connects over PCIe.

Virtual reality and AI has entered the global workforce at an alarming rate. There are many talented and qualified individuals that enter the job market of VR, however, they are easily replaced by the very technology that created the job later in the game. The idea is to get the VR information out to as many people as possible with the use of things like inexpensive headphones and various picture taking and video initiatives. These advertising experiences have even taken place at popular gatherings, like comic-con. The goal is to reach as many people as possible through various video outlets like YouTube etc.

Industrial robots used to be big, unwieldy, and dangerous, but new "human-safe" robots are now commonplace on automotive lines, working right next to people. Yet these robots are awkward coworkers; they coexist with us but do not meaningfully collaborate. Robots often need to be explicitly told how to be helpful or when to stay out of the way -- things human teammates seem to learn intuitively. A good human apprentice is a keen observer, inferring unspoken rules and customs, watching how others work, and then generalizing this knowledge for new situations. We are able to accomplish this partly because the human mind is able to process very complex information very efficiently.

Are artificial intelligence (AI) and predictive analytics just the latest trendy buzzwords, or is the technology about to transform the enterprise? We spoke to IBM, Microsoft, Insidesales.com, Google and SAP to find out. The world's biggest tech companies are investing heavily in artificial intelligence (AI): software that can learn to think and solve problems in a human-like way. According to Deloitte: "By end-2016 more than 80 of the world's 100 largest enterprise software companies by revenues will have integrated cognitive technologies into their products."