Cylance, the company that is revolutionizing cybersecurity through the use of artificial intelligence to proactively prevent advanced persistent threats and malware, announced that its Founder, President and CEO Stuart McClure will be a speaker at the 2016 Edison Awards on April 21, 2016, in New York, NY at the New York Academy of Sciences. McClure will deliver remarks on how truly innovative technology often arises from--and may even require--a process of invention involving a high degree of risk and no guarantees of success. The company's groundbreaking artificial intelligence and machine learning based endpoint security product, CylancePROTECT, was chosen as a finalist for a 2016 Edison Award in the Security Solutions Category. The distinguished awards, inspired by Thomas Edison's persistence and inventiveness, recognize innovation, creativity and ingenuity in the global economy. "I'm honored to speak at an event named for one of the greatest inventors of all time," McClure said.

Chatbots are big news in Silicon Valley right now. "Bots are the new apps!" said Microsoft chief Satya Nadella recently, Facebook's just announced a large collection, while Wired's latest article on the subject puts the phrase "post-app internet" right up in the headline. In the short term, many chatbots are basically glorified search boxes. It's very early days, judging by the first wave of Facebook Messenger bots, which launched its chatbot platform this week. I've been chatting to six of them, and most provide information and links in response to keywords and/or selections from multiple-choice menus.

Society is reaching an automation inflection point as robotic surgery is set to introduce cost reductions and quality improvement to a sector where a highly skilled and educated workforce is the largest expense. The move comes as a demographic retirement bubble approaches. Robotics hit an inflection point in 2015, growing 43% year-over-year, a Goldman Sachs report noted. The market for robotics, however, "remain(s) in its infancy" and is set to grow from 200 million to 930 million by 2020. That growth is likely to introduce robots into surgery, and in so doing revolutionizing medical field automation.

Instead, what captured viewers attention most was Alibaba Group's artificial intelligence program, which made its global debut on the program to predict the series finalists and winner. Named "Ai," the system got every one of its algorithm-induced guesses right. I Am Singer, broadcast by Hunan TV, has been one of China's top-rated shows since its debut in 2013. During the show's four-hour season finale on Friday, Alibaba's Ai analyzed various factors in real time, such as the popularity of the songs contestants performed, their pitch and energy on stage, lyrical content and audience feedback. Meanwhile, the show's in-house audience of 500, whose vote determined the real winner, deliberated separately.

The match sent a shock wave around the world. AlphaGo, an artificial intelligence program developed by Britain-based Google DeepMind, defeated a top Go player. The Go board is larger than those used for chess and shogi, and many believed AI programs would defeat humans 10 years from now at the earliest. Remarkable technological development demonstrated ability in a field requiring a "wide perspective" to read situations every time a move was made. This is the third AI boom since the end of World War II. In the last two, AI programs could not do anything unless they were taught "knowledge" and "ways of thinking" by humans.

VC Chris Dixon of Andreessen Horowitz thinks it's a lot harder to predict financial cycles than it is to see a new computing platform coming down the pike. As he noted in a recent post, new cycles tend to begin every 10 to 15 years; assuming the 2007 introduction of the iPhone kicked off the last wave, we're fast heading toward the Next New Thing. Or things, technically, according to Dixon, who we caught up with yesterday. Among the trends that Dixon is watching closely, he says, are virtual reality, augmented reality, IoT, wearables, drones and cars. Not that it'll be easy to make money off these newer technologies. In fact, Dixon suggests it could be ridiculously challenging, given how quickly Facebook, Google, and Amazon are bringing aboard related talent.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

GPS falls from the sky and costs nothing to use, but it may not reach a car roving the canyons of Manhattan or a forklift moving boxes in a warehouse. For uninterrupted autonomous driving, you need some backup. Sure, you can festoon your vehicles with a vast array of overlapping sensors, but even that won't always give you a clear sense of where you are. So, when the GPS satellites can't pinpoint you, why not resort to land-based beacons? That's the solution proposed by 5D Robotics, a Carlsbad, Calif.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

Graphs are one of the most commonly used data representation tools but existing algorithmicapproaches are typically not appropriate when the graphs of interest are dynamic, stochastic, ordo not fit into the memory of a single machine. Such graphs are often encountered as machinelearning techniques are increasingly deployed to manage graph data and large-scale graph opti-mization problems. Graph sketching is a form of dimensionality reduction for graph data that isbased on using random linear projections and exploiting connections between linear algebra andcombinatorial structure. The technique has been studied extensively over the last five years andcan be applied in many computational settings. It enables small-space online and data streamcomputation where we are permitted only a few passes (ideally only one) over an input sequence ofupdates to a large underlying graph.