Graduate

SCIEN Talk: Learning where to look in 360 environments

Topic: 
Learning where to look in 360 environments
Abstract / Description: 

Many vision tasks require not just categorizing a well-composed human-taken photo, but also intelligently deciding "where to look" in order to get a meaningful observation in the first place. We explore how an agent can anticipate the visual effects of its actions, and develop policies for learning to look around actively---both for the sake of a specific recognition task as well as for generic exploratory behavior. In addition, we examine how a system can learn from unlabeled video to mimic human videographer tendencies, automatically deciding where to look in unedited 360 degree panoramas. Finally, to facilitate 360 video processing, we introduce spherical convolution, which allows application of off-the-shelf deep networks and object detectors to 360 imagery.

Date and Time: 
Wednesday, January 24, 2018 - 4:30pm
Venue: 
Packard 101

SCIEN Talk: Driverless Anything and the Role of LiDAR

Topic: 
Driverless Anything and the Role of LiDAR
Abstract / Description: 

LiDAR, or light detection and ranging, is a versatile light-based remote sensing technology that has been the subject of a great deal of attention in recent times. It has shown up in a number of media venues, and has even led to public debate about engineering choices of a well-known electric car company, Tesla Motors. During this talk the speaker will provide some background on LiDAR and discuss why it is a key link to the future autonomous vehicle ecosystem as well as its strong connection to power electronics technologies.

Date and Time: 
Wednesday, January 17, 2018 - 4:30pm
Venue: 
Packard 101

SCIEN Talk: Advancing Healthcare with AI and VR

Topic: 
Advancing Healthcare with AI and VR
Abstract / Description: 

Quality, cost, and accessibility form an iron triangle that has prevented healthcare from achieving accelerated advancement in the last few decades. Improving any one of the three metrics may lead to degradation of the other two. However, thanks to recent breakthroughs in artificial intelligence (AI) and virtual reality (VR), this iron triangle can finally be shattered. In this talk, I will share the experience of developing DeepQ, an AI platform for AI-assisted diagnosis and VR-facilitated surgery. I will present three healthcare initiatives we have undertaken since 2012: Healthbox, Tricorder, and VR surgery, and explain how AI and VR play pivotal roles in improving diagnosis accuracy and treatment effectiveness. And more specifically, how we have dealt with not only big data analytics, but also small data learning, which is typical in the medical domain. The talk concludes with roadmaps and a list of open research issues in signal processing and AI to achieve precision medicine and surgery.

Date and Time: 
Wednesday, January 10, 2018 - 4:30pm
Venue: 
Packard 101

SystemX Seminar: Nanoscale MOSFET Modeling for the Design of Low-power Analog and RF Circuits

Topic: 
Nanoscale MOSFET Modeling for the Design of Low-power Analog and RF Circuits
Abstract / Description: 

The emergence of the Internet of Things (IoT) poses stringent requirements on the energy consumption and has hence become the primary driver for low-power analog and RF circuit design. Implementation of increasingly complex functions under highly constrained power and area budgets, while circumventing the challenges posed by modern device technologies, makes analog and RF circuit design ever more challenging. Some guidance would therefore be invaluable for the designer to navigate the multi-variable design space.

This talk presents low-power analog and RF design techniques that can be applied from device to circuit level. It starts with the presentation of the concept of inversion coefficient IC as an essential design parameter that spans the entire range of operating points from weak via moderate to strong inversion. Several figures-of-merit (FoM) including the Gm/ID, the Ft and their product Gm ‧ Ft/ID, capturing the various trade-offs encountered in analog and RF circuit design are presented. The simplicity of the IC-based models is emphasized and compared against measurements of 40- and 28-nm bulk CMOS processes and BSIM6 simulations. Finally, a simple technique to extract the basic model parameters from measurements or simulation is described before concluding.

Date and Time: 
Thursday, February 15, 2018 - 4:30pm
Venue: 
Y2E2 111

SystemX Seminar: Advanced SAR ADCs – Efficiency, Accuracy, Calibration and References

Topic: 
Advanced SAR ADCs – Efficiency, Accuracy, Calibration and References
Abstract / Description: 

This talk will discuss several recent techniques that were developed in the context of SAR ADCs. The presentation will show a few design examples with different performance targets. The first topic deals with minimizing power consumption while aiming to increase accuracy by means of linearization and noise reduction techniques. The second topic is about efficient calibration techniques for SAR ADCs. The last part describes a method to co-integrate the reference buffer with the SAR ADC.

Date and Time: 
Friday, February 9, 2018 - 4:00pm
Venue: 
Allen 101X

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