The financial services market is one of the most data-driven industries in the world, yet it's bogged down by legacy CPU technologies that simply can't keep up with the task of querying and visualizing billions of records. In his session at 20th Cloud Expo, Karthik Lalithraj, a Principal Solutions Architect at Kinetica, discussed how the advent of advanced in-database analytics on the GPU makes it possible to run sophisticated data science workloads on the same database that is housing the rich information needed to drive trading decisions. With the unique multi-core architecture of the GPU, financial computations can be processed efficiently and quickly, making it ideal for financial services streaming datasets. He shared how several financial institutions' quantitative science groups are specifically using GPUs to accelerate analytics, deep learning/machine learning, and converging AI and BI. With over 18 years of software experience in a variety of roles and responsibilities, he takes a holistic view at software architecture with special emphasis on helping enterprise IT organizations improve their service availability, application performance and scale.

Because IoT devices are deployed in mission-critical environments more than ever before, it's increasingly imperative they be truly smart. In his session at @ThingsExpo, John Crupi, Vice President and Engineering System Architect at Greenwave Systems, will discuss how IoT artificial intelligence (AI) can be carried out via edge analytics and machine learning technologies that enable things to process event data at the source, learn patterns of behavior over time for taking independent action, and deliver more accurate results in real-time. This opens the door to limitless possibilities, enabling businesses to make better decisions with far less effort. Speaker Bio John Crupi is Vice President and Engineering System Architect at Greenwave Systems, where he guides development on the edge-based visual analytics and real-time pattern discovery environment AXON Predict. He has over 25 years of experience executing enterprise systems and advanced visual analytics solutions.

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.

Machine Learning manuscript No. (will be inserted by the editor) Abstract One of the fundamental problems in crowdsourcing is the tradeoff 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. Keywords Crowdsourcing · Mechanism design · Unsure option · Cost reduction 1 Introduction Labeled data play a crucial role in machine learning. In recent years, crowdsourcing has been a popular cost-saving way for label collection.

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.

"We're here to tell the world about our cloud-scale infrastructure that we have at Juniper combined with the world-class security that we put into the cloud," explained Lisa Guess, VP of Systems Engineering at Juniper Networks, in this SYS-CON.tv With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend 21st Cloud Expo, October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation. Every Global 2000 enterprise in the world is now integrating cloud computing in some form into its IT development and operations. Midsize and small businesses are also migrating to the cloud in increasing numbers. Companies are each developing their unique mix of cloud technologies and services, forming multi-cloud and hybrid cloud architectures and deployments across all major industries.

The U.S. Army has ordered its members to stop using drones made by Chinese manufacturer SZ DJI Technology because of "cyber vulnerabilities." The directive applies to all DJI drones and systems that use DJI components or software. It requires service members to "cease all use, uninstall all DJI applications, remove all batteries and storage media and secure equipment for follow-on direction." DJI has about 70% of the global commercial and consumer drone market according to Goldman Sachs analysts. The market, including military, is expected to be worth more than $100 billion over the next five years.