ITC 2020 Opening (30 minutes)

1. General Chair

2. Program Chair

3. TTTC President

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Keynote (30 minutes)

Title: Applying Digital Transformation Technologies to Semiconductor Product Development

At first glance, you might think that digital transformation applies only to IT organizations, e-commerce systems, or your personal strategy to store family photos in the cloud.  However, many of the same technologies that improve our consumer experiences are are fundamentally shaping how semiconductor organizations design, test, and manufacture semiconductor products.  In this presentation, we’ll share some of the latest trends and technologies that best-in-class semiconductor companies are using to accelerate and improve product designs.  More specifically, we’ll share practical examples of how companies are utilizing technologies ranging from the remote automation to the cloud to artificial intelligence to transform modern engineering labs and enterprises.

Speaker: Ritu Favre, Senior Vice President and General Manager of Semiconductor Business

As senior vice president and general manager of the semiconductor business, Ritu Favre is responsible for driving business growth and defining the products, services, and capabilities required to meet the unique needs of NI customers in the market.

Favre is a seasoned high-tech industry leader with experience across general management and executive leadership roles in the RF and semiconductor industries. Most recently, she served as the chief executive officer of NEXT Biometrics and was on the Cohu Board of Directors. Prior to her role at NEXT, she helped build profitable businesses while holding senior management positions with market leaders such as Motorola, Freescale Semiconductor, and Synaptics.

Favre is a member of the Global Semiconductor Association’s Women’s Leadership Council, which is aimed at inspiring and sponsoring the next generation of female leaders in the semiconductor industry. She received both her bachelor’s and master’s degrees in electrical engineering from Arizona State University.

This panel intends to broadly discuss the impact of Covid-19 on the industry this year. Panelists provide their perspective to the current state of the industry, and what might look like going into 2021.

Keynote (30 minutes)

Title: Reverse Engineering Visual Intelligence

The brain and cognitive sciences are hard at work on a great scientific quest — to reverseengineer the human mind and its intelligent behavior. Yet these field are still in their infancy.Not surprisingly, forward engineering approaches that aim to emulate human intelligence (HI)in artificial systems (AI) are also still in their infancy. Yet the intelligence and cognitive flexibilityapparent in human behavior are an existence proof that machines can be constructed toemulate and work alongside the human mind.I believe that these challenges of reverse engineering human intelligence will be solved bytightly combining the efforts of brain and cognitive scientists (hypothesis generation and dataacquisition), and forward engineering aiming to emulate intelligent behavior (hypothesisinstantiation and data prediction). As this approach discovers the correct neural networkmodels, those models will not only encapsulate our understanding of complex brain systems,they will be the basis of next-generation computing and novel brain interfaces for therapeuticand augmentation goals (e.g, brain disorders).In this session, I will focus on one aspect of human intelligence — visual object categorizationand detection — and I will tell the story of how work in brain science, cognitive science andcomputer science converged to create deep neural networks that can support suchtasks. These networks not only reach human performance for many images, but their internalworkings are modeled after— and largely explain and predict — the internal workings of theprimate visual system. Yet, the primate visual system (HI) still outperforms current generationartificial deep neural networks (AI), and I will show some new clues that the brain and cognitivesciences can offer.These recent successes and related work suggest that the brain and cognitive sciencescommunity is poised to embrace a powerful new research paradigm. More broadly, our speciesis the beginning of its most important science quest — the quest to understand humanintelligence — and I hope to motivate others to engage that frontier alongside us.

About the speaker

James DiCarlo is a Professor of Neuroscience, and Head of the Department of Brain andCognitive Sciences at the Massachusetts Institute of Technology. His research goal is toreverse engineer the brain mechanisms that underlie human visual intelligence. He and hiscollaborators have revealed how population image transformations carried out by a deep stackof neocortical processing stages -- called the primate ventral visual stream -- are effortlesslyable to extract object identity from visual images. His team uses a combination of large-scaleneurophysiology, brain imaging, direct neural perturbation methods, and machine learningmethods to build and test artificial neural network models of the ventral visual stream and itssupport of cognition and behavior. Such an engineering-based understanding is likely to leadto new artificial vision and artificial intelligence approaches, new brain-machine interfaces torestore or augment lost senses, and a new foundation to ameliorate disorders of the mind.

Link to James J. DiCarlo M.D., Ph.D., MIT

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Visionary Talk - TBD (30 minutes)

Keynote (30 minutes)

Title: 50 years of ITC! Now what?

Last year we collectively celebrated the 50^th International Test Conference. After 50 years it’s tempting to say that everything’s been done, or conversely to look ahead to a glorious but only vaguely specified future. As test professionals, we know that better analysis of existing data can help us to identify and respond to future challenges. Today’s challenges include a slowing of Moore’s Law coupled with an ever-increasing appetite for data and analytics. Security and privacy concerns abound. Machine learning gives fast answers but few reasons. New technologies are emerging and bringing new test challenges with them. This talk takes stock of where we are and how we got here, and then focuses on where we might go next and why.

About The Speaker:

Rob Aitken is an ARM Fellow and technology lead for ARM Research. He is responsible for technology direction of ARM research, including identifying disruptive technologies, monitoring the global technology landscape, and coordinating research efforts within and outside of ARM. He has worked on test and related topics for 35 years, and is a former general chair and program chair of ITC. He has published over 100 technical papers, on a wide range of topics. He holds over 40 US patents.  Dr. Aitken joined ARM as part of its acquisition of Artisan Components in 2004. Prior to Artisan, he worked at Agilent and HP.  He is an IEEE Fellow and holds a Ph.D. from McGill University in Canada.

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Visionary Talk: (30 minutes)

Ttitle: A landscape for dependable autonomous machines

By Riccardo Mariani, VP Industry Safety, Nvidia

ITC-India 2020 Best Paper Presentation Session:

Best Paper:

6C.1: Analyzing Fault Tolerance Behaviour in Memristor-based Crossbar for Neuromorphic Applications

Presented by, Dev Narayan Yadav received the M.Tech degree in Computer Science and Engineering from National Institute of Technology Meghalaya, India, in 2018. He is currently pursuing his Ph.D. in the Department of Computer Science and Engineering at the Indian Institute of Technology Kharagpur, India. His research interests include memristor and its application in logic design and machine learning.

Honorable Mention:

6C.2: Wavelet Transform based fault diagnosis in analog circuits with SVM classifier

Presented by, Supriyo Srimani received a Bachelor of Electronics and Communication Engineering degree from West Bengal University of Technology, India, in 2013, Master degree in VLSI Design from Calcutta University, India, in 2015. He currently is pursuing his Ph.D. from Indian Institute of Engineering Science and Technology, Shibpur. His current areas of research interest are Analog and Mixed-Signal Circuit Design and Testing.

6C.3: Validating and Characterizing a 2.5D High Bandwidth Memory Sub-System

Presented by, Sreeja Menon is Senior Principal Engineer - Architecture at Rambus Chip Technologies, India Design Center. She has 15+ years of experience working on architecture and design of digital controllers and PHYs. In her current role, she works on architecture of DDR, HBM and GDDR memory PHY families and the test platforms for the validation and characterization of the same. She has received her Bachelor's degree in Applied Electronics and Instrumentation Engineering from University of Kerala, India.