Emerging Internet of Thing (IoT) platforms provide a centralized solution to integrate heterogeneous IoT devices and deploy applications for home automation. However, new privacy threats are also introduced since platforms may fail to protect the collected data due to a number of general or domain-specific reasons, e.g., remote attacks, insider attacks, improper data release, flawed access control, malware, etc.
The last half-decade ushered in a new era of vision research. Computer vision now works on real images, in natural environments, solving hard problems. But the technology is far from ubiquitous and many researchers are most concerned with getting the best performance on a handful of datasets. This hyper-focus on accuracy has largely turned vision into a numbers game and research tends toward complex, finely-tuned systems that are brittle and impractical in the real world.
Our lives are being rapidly reshaped by the ubiquitous intelligent systems, from autonomous driving to AI assisted medical care, from human identification and surveillance to smart cities, from factory automation to precision agriculture, and even to scientific endeavors such as astronomical missions.
For AI agents to fully step into the role of human collaborators, they must be able to perceive their environment and communicate about this understanding with humans in order to coordinate their actions to achieve mutual goals. The development of such holistic agents presents challenging problems for computer vision, natural language processing, and machine learning. Towards this end, I'll discuss a recent line of work developing agents that communicate in natural language regarding visual scenes including both static images and 3D environments.
The USA Exascale Computing Project (ECP) is focused on accelerating the delivery of a capable exascale computing ecosystem that delivers 50 times more computational science and data analytic application power than possible with DOE HPC systems such as Titan (ORNL) and Sequoia (LLNL). As next generation applications and experiments grow in concurrency and in complexity, the data produced often grows to extreme levels, limiting scientific knowledge discovery.
This talk will highlight two topics.
Topic #1: in-situ visualization of a multi-physics simulation on LLNL's Sierra Supercomputer:
Traditional computer system deployments involved a 'Design System' first and then 'Design Security' approach to meet application user demands. This approach is ill-suited to deploy today's increasingly cloud-based system architectures that are being adopted by industry applications with very large user bases such as media, manufacturing, healthcare and energy. Infrastructure engineers and application developers are now forced to take a parallel approach of 'Design Security' along with 'Design System'.
Distributed cloud networking builds on software-defined networking (SDN) and network function virtualization (NFV) to enable the deployment of a wide range of services in the form of elastic software functions instantiated over general purpose hardware at distributed cloud locations, and interconnected by a programmable network fabric. Operators can then configure services or group of services with similar requirements as virtual network slices within a common infrastructure, reducing both capital and operational expenses.
This week, we continue our introduction to faculty research topics. We encourage all faculty members and MS/PhD students to attend and hope these presentations would help students meet faculty members and get exposed to the full range of the research portfolio in our department. We feature the following speakers this week:
Presentation #1: "Research Overview for CDUX: Computing and Data Understanding at eXtreme Scale"
by Associate Professor Hank Childs
This week, we host an introduction to faculty research topics. We encourage all faculty members and MS/PhD students to attend and hope these presentations will help students meet faculty members and get exposed to the full range of the research portfolio in our department. We feature the following presentations this week:
Presentation #1: "AIM Lab, NSF CBL, and Research Projects"
by Professor Deijing Dou