LAS VEGAS, NV - JANUARY 04: Tim Baxter, President and Chief Operating Officer of Samsung Electronics America, speaks during a press event for CES 2017 at the Mandalay Bay Convention Center on January 4, 2017 in Las Vegas, Nevada. Almost 250 years after James Watt filed his first patent in 1769, we have reached a turning point in this new industrial revolution, as ecosystem evolutions enable a new wave of innovative products to come to life. Based on analysis of over 200 hardware startups, the HAX Hardware Trends Report has identified six key ways the world of connected devices has evolved and will impact our lives in the coming years. If Internet was a revolution, it was only the beginning: the physical world is being re-invented and every industry is being affected, from construction to insurance. Investment is booming with 36 startups having raised over US$100M (there were only 8 of them three years ago) and there are 18 unicorns (private companies with a valuation above US$1B), representing close to 10% of the global blessing.

The main goal of this study is to extract a set of brain networks in multiple time-resolutions to analyze the connectivity patterns among the anatomic regions for a given cognitive task. We suggest a deep architecture which learns the natural groupings of the connectivity patterns of human brain in multiple time-resolutions. The suggested architecture is tested on task data set of Human Connectome Project (HCP) where we extract multi-resolution networks, each of which corresponds to a cognitive task. At the first level of this architecture, we decompose the fMRI signal into multiple sub-bands using wavelet decompositions. At the second level, for each sub-band, we estimate a brain network extracted from short time windows of the fMRI signal. At the third level, we feed the adjacency matrices of each mesh network at each time-resolution into an unsupervised deep learning algorithm, namely, a Stacked De- noising Auto-Encoder (SDAE). The outputs of the SDAE provide a compact connectivity representation for each time window at each sub-band of the fMRI signal. We concatenate the learned representations of all sub-bands at each window and cluster them by a hierarchical algorithm to find the natural groupings among the windows. We observe that each cluster represents a cognitive task with a performance of 93% Rand Index and 71% Adjusted Rand Index. We visualize the mean values and the precisions of the networks at each component of the cluster mixture. The mean brain networks at cluster centers show the variations among cognitive tasks and the precision of each cluster shows the within cluster variability of networks, across the subjects.

One of the fundamental problems in crowdsourcing is the trade-off between the number of the workers needed for high-accuracy aggregation and the budget to pay. For saving budget, it is important to ensure high quality of the crowd-sourced labels, hence the total cost on label collection will be reduced. Since the self-confidence of the workers often has a close relationship with their abilities, a possible way for quality control is to request the workers to return the labels only when they feel confident, by means of providing unsure option to them. On the other hand, allowing workers to choose unsure option also leads to the potential danger of budget waste. In this work, we propose the analysis towards understanding when providing the unsure option indeed leads to significant cost reduction, as well as how the confidence threshold is set. We also propose an online mechanism, which is alternative for threshold selection when the estimation of the crowd ability distribution is difficult.

A US technology firm has developed a drone that is able to aim and fire at enemies while flying in mid-air. The Tikad drone, developed by Duke Robotics, is armed with a machine-gun and a grenade launcher. The gun can be fired only by remote control, and is designed to reduce military casualties by cutting the number of ground troops required. But campaigners warn that in the wrong hands, it will make it easier to kill innocent people. The Tikad drone, available for private sale at an undisclosed price, has won a security innovation award from the US Department of Defense, and there is interest from several military forces around the world, including Israel, reports Defense One.

The operation to liberate the ISIS Syrian stronghold of Raqqa has entered its third month, and while the U.S. and its partners have largely depleted the enemy ranks - but lethal danger lurks throughout the city. There are about 1,500 ISIS fighters left in Raqqa, a big reduction from around 5,000 less than two months ago, according to Col. Ryan Dillon, spokesman for Operation Inherent Resolve – the U.S.-led coalition tasked to destroy ISIS in Iraq and Syria. But Raqqa is still teeming with landmines and booby traps, many set by fleeing jihadists. "Eighty percent of the engagement the Syrian Democratic Forces (SDF) has had has been with IEDs, whether they be vehicle-born IEDs, inside houses, static vehicles and even IEDs planted inside corpses," Dillion told Fox News. "Those have been the proponents of how ISIS is fighting in Raqqa so far."

Industry leaders in the self-driving car race have teamed up to create an'ecosystem' to push the technology further. Intel and Toyota, among others, announced today they have joined forces to create the Automotive Edge Computing Consortium. The companies plan to share data to boost the creation of maps and improved driver assistance technology. Toyota's AI-enabled Concept-i prototype, which was unveiled at the 2017 Consumer Electronics Show in Las Vegas Several firms just joined forces to create the Automotive Edge Computing Consortium. This includes Intel, DENSO, Ericsson, Nippon Telegraph and Telephone Corporation (NTT), NTT DOCOMO and both the Toyota InfoTechnology Center Co. and Toyota Motor Corp.

For a decade or so before the market for touchscreen smartphones took off around 2010, BlackBerry's hand-held communication devices were ubiquitous among thumb-jockeying executives trying to keep in touch with the office outside working hours. After several recent failed attempts to launch new phones and operating systems to compete against Apple, Google and Samsung Electronics products, the company that "made the modern cellphone," as BlackBerry's CEO John Chen puts it, is hoping to become the main supplier of secure applications and software for the next generation of internet-linked devices -- the much- touted "internet of things" -- from web-connected self-driving cars to "smart" domestic appliances that are expected to take off over the coming decade. "It's going to be very much driven by securing end-point communications," Chen told the Nikkei Asian Review. "We want to be the number one secure communications in IoT. We have signed a deal with Ford for seven years to help them build their next generation cars."

Big data and AI algorithms are in the center of a new deal between China's largest retailer JD and leading search engine provider Baidu. JD will provide its wealth of consumer data while Baidu will use their AI skills to help advertisers understand their users better. The partnership will enable advertisers to target users directly within Baidu's apps through content partners and offer a more tailored e-commerce experience. As part of the partnership, the company's flagship mobile search app, is providing JD "first-level" access points to the hundreds of millions of mobile users in China who use Baidu to connect with the information and services they need, from its core search platform and suite of products ranging from mapping, music and video, to its popular chatroom platform Baidu PostBar (Tieba). The access points allow users to make purchases of JD products without ever needing to leave the Baidu apps, providing consumers a seamlessly integrated user experience.

What is Image Recognition and why is it Used? In the context of machine vision, image recognition is the capability of a software to identify people, places, objects, actions and writing in images. To achieve image recognition, the computers can utilise machine vision technologies in combination with artificial intelligence software and a camera. While it is very easy for human and animal brains to recognize objects, the computers have difficulty with the same task. When we look at something like a tree or a car or our friend, we usually don't have to study it consciously before we can tell what it is.

A Mincecraft player in Taiwan decided to recreate their entire school on the sandbox video game because they missed it so much. SEE ALSO: Someone spent 2 years painstakingly replicating China's Forbidden City in'Minecraft' The gamer, along with a few friends who attended the Banqiao Senior High School in Taipei, started working on recreating their school during their first year of university. The amount of detail is incredible. And just the general facade -- there's nothing this Minecraft player has missed out on. "I started this [project] in my freshman year because of homesickness," said the gamer in an online blogpost.