It should be noted that in addition to the use of robots for therapeutic purposes, these systems have a high potential for studying various sensorimotor aspects of neuromuscular disorders. This talk will be presented with a multidisciplinary audience in mind. The focus will be on topics related to neuro-rehabilitation robotics.
Due to the time limitation, topics related to surgical robotics will not be presented; however, the audience is more than welcome to ask questions regarding top lines of research in the area of surgical robotics as well. Farokh Atashzar obtained his Ph. Farokh joined UWO, in to pursue his Ph. Rajni V.
He was a visiting research scholar at the Biorobotic Systems lab, University of Alberta, Canada, in His research has been reported in more than 28 journal papers, 30 peer- reviewed conference papers, and 2 book chapters. The improvement in subthreshold characteristics is also accompanied with the advantage of an increased ON current relative to the reference FET as has been observed both in simulation studies and experiments. In this talk, I will discuss the physics and modeling of various NCFET structures and impact of this new transistor on circuits including processors.
He has published more than papers in international journals and conferences. His research interests are characterization, modeling, and simulation of semiconductor devices. Abstract: In the adaptive information gathering problem, a robot is required to select an informative sensing location using the history of measurements acquired thus far.
On the other hand, the principled approach of employing online POMDP solvers is rendered impractical by the need to explicitly sample online from a posterior distribution of world maps. We present a novel data-driven imitation learning framework to efficiently train information gathering policies. The policy imitates a clairvoyant oracle - an oracle that at training time has full knowledge about the world map and can compute maximally informative sensing locations. We analyze the learnt policy by showing that offline imitation of a clairvoyant oracle is implicitly equivalent to online oracle execution in conjunction with posterior sampling.
This observation allows us to obtain powerful near-optimality guarantees for information gathering problems possessing an adaptive submodularity property. As we demonstrate on a spectrum of 2D and 3D exploration problems with aerial vehicles, the trained policies enjoy the best of both worlds - they adapt to different world map distributions while being computationally inexpensive to evaluate. We also show in very recent work that this idea of imitating a clairvoyant oracle in a learning-to-search framework yields better performing policies for the task of visual navigation from natural language instructions in indoor environments.
I will also provide a quick overview of ongoing exciting reinforcement and imitation learning related projects in MSR Redmond. He conducts fundamental as well as applied research at the intersection of machine learning, controls and computer vision with applications to autonomous agents in general and robotics in particular with an aim to bridge the gap between perception and action.
His interests include decision-making under uncertainty, reinforcement learning, planning and perception. Abstract: Wireless data traffic has grown exponentially in recent years due to a change in the way today's society creates, shares and consumes information. This change has been accompanied by an increasing demand for higher speed wireless communications, anywhere, anytime.
Following the current trend, wireless Terabit-per-second Tbps links are expected to become a reality within the next ten years. In this context, Terahertz THz -band 0. The THz band will help overcome the spectrum scarcity problems and capacity limitations of current wireless networks, by providing an unprecedentedly large bandwidth. In addition, THz-band communication will enable a plethora of long-awaited applications, both at the nano-scale and at the macro-scale, ranging from wireless massive-core computing architectures and instantaneous data transfer among non-invasive nano-devices, to ultra-high-definition content streaming among mobile devices and wireless high-bandwidth secure communications.
In this seminar, an in-depth view of THz-band communication networks will be provided. Then, the current progress and future research directions in terms of channel modeling, physical and link layers design, will be tackled in a bottom-up approach, defining a roadmap for the development of this next frontier in wireless communication. About the Speaker: Josep M. He received the B. He received the Ph. He was the recipient of the Oscar P.
His current research interests are in Terahertz-band communication networks, Wireless Nano-bio-sensing Networks, and the Internet of Nano-Things. In these areas, he has co-authored more than peer-reviewed scientific publications, 1 book, and has also been granted 3 US patents. In the following decades, this simple scheme was advanced to large-scaled phased arrays used for military radars in WWII and beyond.
Unitrode / TI Power Supply Design Seminar Archives
In , Gordon Moore predicted that advancement in integrated circuit technology will enable monolithic microwave phased arrays that can revolutionize radar. Nearly four decades later, monolithic microwave silicon phased arrays were reported for the first time. Today, monolithic radio frequency, microwave, and millimeter wave phased arrays are turning mainstream in commercial products including automotive radars and high speed wireless transceivers including those for the upcoming 5G wireless standards. While optical beam steering has been around for several decades, monolithic optical phased arrays are more recent thanks to advancements in fabrication technology.
Very recently, the interest in optical beam-steering and monolithic optical phased arrays has increased thanks to the application of low-cost compact lidar in self-driving cars. Other potential application of optical phased arrays include free-space optical communications, imaging, sensing, display, and holography. This talk will cover the basics, history, and applications of phased arrays followed by selected state-of-the-art realizations of phased array systems and related components from radio frequencies up to optical frequencies. His research interests include analog, mixed-signal, and radio-frequency integrated circuits; photonic integrated circuits; electro-optical integrated systems; and implantable integrated solutions.
Abstract: The history of radio is a remarkable account of a disruptive technology that truly changed the world. What a remarkable idea, Communications at a distance communicating faster than a man or woman can run. It is a concept that nearly eclipses the wonders of tomorrow foretold by the famous futurists such as H.
Wells and Jules Verne. It is the stuff of science fiction made real! Radio and its progeny; television, satellites, cell phones, Zigbee, radar, and others, have had, and continue to have, enormous social, political, and economic impact on us all. This presentation is a non-technical walk along a technology path with acknowledgements to familiar names of scientists, inventors, innovators, and industrialists with light reflections of their contributions to the discoveries and developments that have taken us through an unfinished journey that started years ago.
At one level, radio is circuits, equations, vacuum tubes, transistors, amplifiers, antennae, and modulation theory. At another level it is a fascinating record of people whose contributions have brought us the applied magic we call radio. Join us in this fun walk down memory lane to gently prod your recollections of these giants who have come before us.
As an aside, I am not a historian but rather a technologist. I use the history of radio in my modem design class to give students a perspective of why and how we arrived at certain design structures. I point out that design compromises made in past radios were appropriate for the time they were made but that we should not propagate these compromises to next generation radios.
We have technologies and capabilities not available to our predecessors and we should use them to improve rather than to emulate previous designs. I also find that it is fun and enlightening to know the history. He consults for organizations requiring high performance, cost effective DSP solutions. The spelling of his name with all lower case letters is a source of distress for typists and spell checkers. A child at heart, he collects toy trains and old slide-rules. Abstract: AI at scale requires a perfect storm of data, algorithms and cloud infrastructure. Modern deep learning has relied on large labeled datasets for training.
By building intelligence into data collection and aggregation, we can drastically reduce data requirements. Additionally, algorithmic and infrastructure innovations now make it possible to train models at scale.
Contents of Collection
In future, we will see more integration of these three pillars to advance AI. Anima Anandkumar's research interests span theory and practice of large-scale machine learning. In particular, she has been spearheading the development and analysis of tensor algorithms for machine learning. She is the recipient of several awards such as the Bren endowed chair professorship at Caltech, Alfred. She received her B. She was a postdoctoral researcher at MIT from to , an assistant professor at U. Irvine between and , a visiting researcher at Microsoft Research New England in and , and a Principal Scientist at Amazon Web Services between I will also talk about how this will be different from previous technology revolutions -- it will be faster and be driven by not one superpower, but two US and China.
Prior to founding Sinovation in , Dr.
- Central Sites, Peripheral Visions: Cultural and Institutional Crossings in the History of Anthropology (History of Anthropology, Volume 11)?
- High Speed Design Seminar, | Education | Analog Devices.
- Facing the Future?
Lee was the President of Google China. He was named one of the most influential people in the world by Time in In the field of artificial intelligence, Dr. While with Apple, Dr. He has authored 10 U.
Advanced Modeling & Simulation Seminar Series
Altogether, Dr. Lee has been in artificial intelligence research, development, and investment for more than 30 years. His latest book AI Superpowers aisuperpowers. Research now explores the next generation of wireless systems, these operating between GHz. Such systems can support massive spatial multiplexing in both endpoint and backhaul links, and will require high-frequency transistors in VLSI and in III-V technologies, phased-array transceiver front-ends, and complex silicon RF ICs to form and aim multiple beams and to null or equalize multipath interference.
- Industrial Clusters, Institutions and Poverty in Nigeria: The Otigba Information and Communications Technology Cluster.
- The Crazy Quilt Handbook, Revised (3rd Edition): 12 Updated Step-by-Step Projects: Illustrated Stitch Guide, Including Silk Ribbon Stitches.
- Jewish History : an essay in the philosophy of history.
- Wireless Local Area Networks Quality of Service: An Engineering Perspective.
- Account Options.
- High Speed Design Techniques, 1996;
- Decline and Fall of Public Service Broadcasting;
About the Speaker: Mark Rodwell Ph. His research group develops nm and THz transistors, and mm-wave and sub-mm-wave integrated circuits and systems. Speaker: Leontios J. Abstract: Machine Learning ML is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. While many ML algorithms have been around for a long time, the ability to automatically apply complex mathematical calculations to big data — over and over, faster and faster, deeper and deeper — is a recent development, leading to the realization of the so called Deep Learning DL.
The latter has an intuitive capability that is similar to biological brains. It is able to handle the inherent unpredictability and fuzziness of the natural world. In this seminar, the main aspects of ML and DL will be presented and the focus will be placed in the way they are used to shed light upon the Human Behavioral Modeling. In this effort, a new data decomposition approach based on swarm analysis will be presented and its combination with DL will be explored for the case of brain responses to bullying incidence stimuli within immersive environments.
Finally, a wider perspective of the current research and future plans will conclude the seminar. About the Speaker: Leontios J.
Related High-Speed Design Techniques (Seminar Series)
Copyright 2019 - All Right Reserved