AUSTIN, Texas--(BUSINESS WIRE)--InfiniteIO, the world's fastest metadata platform to reduce application latency, today announced the new Application Accelerator, which delivers dramatic performance improvements for critical applications by processing file metadata independently from on-premises storage or cloud systems. The new platform provides organizations across industries the lowest possible latency for their mission-critical applications, such as AI/machine learning, HPC and genomics, while minimizing disruption to IT teams. "Bandwidth and I/O challenges have been largely overcome, yet reducing latency remains a significant barrier to improving application performance," said Henry Baltazar, vice president of research at 451 Research. "Metadata requests are a large part of file system latency, making up the vast majority of requests to a storage system or cloud. InfiniteIO's approach to abstracting metadata from file data offers IT managers a nondisruptive way to immediately accelerate application performance."
AI and HPC are increasingly intertwined – machine learning workloads demand ever increasing compute power – so it's no surprise the annual supercomputing industry shindig, SC19 at the Colorado Convention Center in Denver next week, has taken on a strong AI cast. As we noted recently ("Machine Learning Fuels a Booming HPC Market") based on findings by industry watcher Intersect360 Research, "enterprise infrastructure investments for training machine learning models have grown more than 50 percent annually over the past two years, and are expected to shortly surpass $10 billion, according to a new market forecast," and much of that training calls for HPC-class systems. With that in mind, here's a rundown of AI-related sessions and activities coming up at SC19 (all event locations are in the Convention Center unless otherwise specified): Deep Learning on Supercomputers, 9am-5:30pm, room 502-503-504: This workshop will be led by Zhao Zhang of the University of Texas, Valeriu Codreanu of SURFsara and Ian Foster of Argonne National Laboratory and the University of Chicago and is designed to be a forum for practitioners working on all aspects of DL for science and engineering in HPC and to present their latest research results and development, deployment, and application experiences. Tools and Best Practices for Distributed Deep Learning on Supercomputers, 1:30-5pm, room 201: This tutorial will be led by Xu Weijia and Zhao Zhang of the Texas Advanced Computing Center and David Walling of the University of Texas and is intended to be a practical guide on how to run distributed deep learning over multiple compute nodes. Deep Learning at Scale, 8:30am-5pm, room 207: Led by seven experts from Lawrence Berkeley National Lab, Intel and Cray, this tutorial will focus on the impact of deep learning is having on the way science and industry use data to solve problems and the need for scalable methods and software to train DL models.
You are invited to attend our event next Monday, Nov 18th @6:00 pm at Venture X. Come and join us as Dr. Huang gives a talk on how Deep Learning is used in Genomics. If you are curious about Artificial Intelligence & Data Science in Genomics and want to learn more, then this talk is for you. Dr. Huang's expertise is in the areas of Computational Biology, Computational Neuroergonomics, Brain-Computer Interface, Statistical Modeling, and Bayesian Methods. Dr. Yufei Huang is a Professor and Associate Chair in Research at the Department of Electrical and Computer Engineering at UTSA. He is also an adjunct professor at the Dept. of Epidemiology and Biostatistics at the University of Texas Health Science Center at San Antonio.
AUSTIN, Texas --Austin's growing tech sector includes an increasing number of companies focusing on artificial intelligence. SparkCognition is securing big money to invest in the technology's future. Vijay Doradla, SparkCognition's chief business officer, showed off a new joint venture between SparkCognition and Boeing called SkyGrid. "The vision of SkyGrid is to autonomously provision a drone from taking off, flying, and automatically managing the route as well as rerouting if there are any conflicts in that route," Doradla said. Doradla says it works like air traffic control, but for drones.
Wikipedia defines Human in the Loop (HITH) as a model that requires human interaction. HITL is associated with modeling and simulation (M&S) in the live, virtual, and constructive taxonomy. HITL models may conform to human factors requirements as in the case of a mockup. In this type of simulation a human is always part of the simulation and consequently influences the outcome in such a way that is difficult if not impossible to reproduce exactly. HITL also readily allows for the identification of problems and requirements that may not be easily identified by other means of simulation.
Last year, at Insight 2018 in Dallas TX, Deltek committed to investing in emerging technologies to improve the user experience at every stage of the project lifecycle. We continue to develop these efforts to help streamline work, save time and addresses challenges within your project-based business. We've been busy delivering on our promise and we're excited to share with some of the latest technologies that will add additional purposeful innovation into Deltek's solutions for project-based businesses. No one likes to create an expense report – ever – but it's a must-have in a world where they are required for billing and auditing purposes. Our responsibility to the market is to make this process as quick and easy without giving up the necessary controls to meet your business requirements.
RLCard is a toolkit for Reinforcement Learning (RL) in card games. It supports multiple card environments with easy-to-use interfaces. The goal of RLCard is to bridge reinforcement learning and imperfect information games, and push forward the research of reinforcement learning in domains with multiple agents, large state and action space, and sparse reward. RLCard is developed by DATA Lab at Texas A&M University. We have just initialized a list of Awesome-Game-AI resources.
NASA has opened untouched rock and soil samples from the moon that were brought back by the Apollo 17 lunar mission in 1972. The samples were collected by astronauts Gene Cernan and Jack Schmitt, who drove a tube into the moon more than 40 years ago. The analysis will help scientists practice techniques for when they study future samples collected on the Artemis missions. The sample was opened on November 5th in the Lunar Curation Laboratory at NASA's Johnson Space Center in Houston, Texas. The Apollo missions have brought back 842 pounds of rock and soil from the moon, most of which have been studied.
Violent video games are often blamed for people behaving aggressively in real life, but a new study claims that there is no clear link between the two. They found that, while people who played video games as a child were more likely to get into fights as an adult, gaming could not be pinpointed as the cause. Other factors such as gender and environment may have just as important role to play in people becoming violent as adults, the researchers claim. 'While the data show that fighting later in life is related to playing video games as an adolescent, most of this is because, relative to females, males both play games more often and fight more often,' said Dr Michael Ward from the University of Texas Arlington, who authored the study. 'Estimates that better establish causality find no effect, or a small negative effect.'
Artificial intelligence – AI for those in the technological know – gets a bad rap and Anshumali (Anshu) Shrivastava came to the Lake Houston Chamber's October luncheon to clear the air and tell business leaders how AI is changing their business landscape. "The best way I can describe artificial intelligence is to use the example of self-driving cars," Shrivastava said at the Oct. 29 meeting at the Clubs of Kingwood. "When you're driving, there's lots to think about. And driving on the highway is certainly different than driving on a busy city street."