The experience lacks so many things: transparency, fairness, timeliness and so on that solutions to date have only addressed part of the problem. LinkedIn made the resume digital and put people in (mostly) one place. Others have created labor marketplaces and educational resources to "fix" hiring, but last time I checked hiring was still broken. With 11.4 million in Series A financing led by Emergence Capital, Mya Systems manages to complement this market and stands on its own as a machine intelligence-powered tool for recruiters and applicants. Mya is a bot, and that means when I first went to meet the team I was skeptical.

AccelStor will demonstrate its recently launched all-NVMe flash array -- the NeoSapphire P310 -- and reveal its new-generation all-flash array, a scaled-up model with up to 645TB capacity. The AccelStor booth will feature live demonstrations of the NeoSapphire 3706-ES1, showing how this high-availability flash array smoothly handles all kinds of IT scenarios, without a single point of failure. Outfitted for machine learning, artificial intelligence, and FinTech, AccelStor all-flash arrays deliver accelerated performance and effortless data processing for storage, enabling enterprise business to run efficiently. AccelStor's products and technology will be on display at booth J0818 on the first floor of the Nangang Exhibition Hall in Taipei, Taiwan from May 30 to June 3, 2017. "Today's data explosion is driven by a growing number of end devices and richer data streams. Data centers and networks empower enterprises to gain deeper insight into the world around us," said David Kao, AccelStor Vice President.

Consumers need to be more aware of the potential dangers of connecting to a public Wi-Fi network, a new security report has warned. Wi-Fi networks in cafés and coffee shops are "high-risk", according to the study, partly because of their popularity and convenience. Cyber criminals are targeting people who connect to public Wi-Fi networks, and can access their private data without them realising. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar.

Upcoming Webinar To be Presented on June 2, 2017 at 12PM ET Webinar Topics: Customer Experience, Customer Relationship A decade of aggressive mass promotions is contributing to lower customer engagement rates, reducing ROI to less than 1% and leading to high unsubscribe rates. It is time to make the change towards optimizing promotional strategies with better customer insights. Join Forrester's Senior Analyst Brandon Purcell, Charming Charlie's Ujwal Dhoot, VP – Marketing & eCommerce, and Manthan's Varij Saurabh, Director, Customer Analytics as they provide insights into how AI will impact marketing and how it can help marketers solve key customer marketing challenges. In this webinar, you'll learn about: • How AI impacts marketing? FEATURED PANELISTS: Brandon Purcell, Senior Analyst, Forrester Brandon serves Customer Insights Professionals, covering customer analytics and artificial intelligence.

A computer algorithm equipped with a form of artificial curiosity can learn to solve tricky problems even when it isn't immediately clear what actions might help it reach this goal. Researchers at the University of California, Berkeley, developed an "intrinsic curiosity model" to make their learning algorithm work even when there isn't a strong feedback signal. The curiosity model developed by this team sees the AI software controlling a virtual agent in a video game seek to maximize its understanding of its environment and especially aspects of that environment that affect it. There have been previous efforts to give AI agents curiosity, but these have tended to work in a more simplistic way. The trick may help address a shortcoming of today's most powerful machine-learning techniques, and it could point to ways of making machines better at solving real-world problems.

Robots are coming for retail jobs. In-store automation threatens to kill four in 10 positions in the retail sector throughout the next decade, according to a new study. That could add up to 7.5 million lost jobs--proportionally a much bigger hit than even manufacturing took when automation devastated its labor market, according to Cornerstone Capital Group, the bank behind the report. SEE ALSO: Trump's treasury secretary is'not worried at all' about job-killing AI It's not as if retail workers don't have enough to keep them up at night. Hundreds of store employees have lost their jobs over the past few years as online shopping and excess store space plunge the traditional retail industry into choppy waters.

PARIS – Scientists on Monday announced the discovery of 52 genes linked to human intelligence, 40 of which have been identified as such for the first time. The findings also turned up a surprising connection between intelligence and autism that could one day help shed light on the condition's origins. Taken together, the new batch of "smart genes" accounted for 20 percent of the discrepancies in IQ test results among tens of thousands of people examined, the researchers reported in the journal Nature Genetics says. "For the first time, we were able to detect a substantial amount of genetic effects in IQ," said Danielle Posthuma, a researcher at the Center for Neurogenomics and Cognitive Research in Amsterdam, and the main architect of the study. "Our findings provide insight into the biological underpinnings of intelligence," she said. Most of the newly discovered gene variants linked to elevated IQ play a role in regulating cell development in the brain, especially neuron differentiation and the formation of neural information gateways called synapses.

What if machines could learn? This has been one of the most intriguing questions in science fiction and philosophy since the advent of machines. With modern technology such questions are no longer bound to creative conjecture, machine learning is all around us. From deciding which movie you might want to watch next on Netflix to predicting stock market trends, machine learning has a profound impact on how data is understood in the modern era. This tutorial aims to give an accessible introduction to how to use machine learning techniques for your own projects and datasets.

China's biggest online retailer, JD.com Inc., announced plans Monday to develop drone aircraft capable of carrying a ton or more for long-distance deliveries. The company said it will test the drones on a network it is developing to cover the northern Chinese province of Shaanxi. It said they will carry consumer goods to remote areas and farm produce to cities. JD.com, headquartered in Beijing, says it made its first deliveries to customers using smaller drones in November. Other e-commerce brands including Amazon.com Inc. also are experimenting with drones for delivery. "We envision a network that will be able to efficiently transport goods between cities, and even between provinces, in the future," the chief executive of JD's logistics business group, Wang Zhenhui, said in a statement.

The human reasoning process is seldom a one-way process from an input leading to an output. Instead, it often involves a systematic deduction by ruling out other possible outcomes as a self-checking mechanism. In this paper, we describe the design of a hybrid neural network for logical learning that is similar to the human reasoning through the introduction of an auxiliary input, namely the indicators, that act as the hints to suggest logical outcomes. We generate these indicators by digging into the hidden information buried underneath the original training data for direct or indirect suggestions. We used the MNIST data to demonstrate the design and use of these indicators in a convolutional neural network. We trained a series of such hybrid neural networks with variations of the indicators. Our results show that these hybrid neural networks are very robust in generating logical outcomes with inherently higher prediction accuracy than the direct use of the original input and output in apparent models. Such improved predictability with reassured logical confidence is obtained through the exhaustion of all possible indicators to rule out all illogical outcomes, which is not available in the apparent models. Our logical learning process can effectively cope with the unknown unknowns using a full exploitation of all existing knowledge available for learning. The design and implementation of the hints, namely the indicators, become an essential part of artificial intelligence for logical learning. We also introduce an ongoing application setup for this hybrid neural network in an autonomous grasping robot, namely as_DeepClaw, aiming at learning an optimized grasping pose through logical learning.