Architecture, Embedded Systems and Electronics, Robotics
Available Speakers and their Lectures on this Topic
Rizwan Ahmed – Nagpur, India
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IoT in Healthcare
This talk will cover various technical aspects related to Artificial Intelligence for scaling Cyber Security. This talk will cover following specific...
David Atienza – Lausanne, Switzerland
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Designing Accelerator-Centric Edge Architectures with Open-Source Platforms
Edge computing is targeting multiple domains nowadays, and a new set of complementary approaches have emerged as main avenues for designing novel accelerator-centric architectures for edge...
Ahmedullah Aziz – Knoxville, TN, United States
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AI for Better Hardware & Hardware for Better AI
For years, the rapid ascent of AI has captivated the world, but behind every groundbreaking algorithm lies an unsung hero: hardware. While software and algorithms have stolen the spotlight, the...
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Computing at the Ultra-Cold: Exploring the Frontiers of Cryogenic Electronics
Cryogenic (Cryo) logic and memory technologies have been rapidly garnering interest in recent years due to their immense prospect as potential enablers for multiple exciting technology platforms,...
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Transforming Nanoelectronics with Threshold Switching Volatile Memristors
Relentless miniaturization of transistors, driven by Moore's Law, has long propelled electronics' evolution towards atomic scales. With each new technology generation, we draw nearer to...
Erik Brunvand – UT, United States
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Computational Thinking Meets Design Thinking: Technology and Arts Collaborations
There seems to be an explosion of interest in exploring arts and technology connections: new media, digital media, kinetic art, new frontiers, emergent media, interdisciplinary,...
Samarjit Chakraborty – Chapel Hill, NC, United States
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Resource-Aware Cyber-Physical Systems Design
The heart of the software in many embedded systems contain one or more control algorithms. For example, a modern car contains several hundreds of millions of lines of software code...
Albert M. K. Cheng – Houston, TX, United States
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Fault-Tolerant Regularity-Based Real-Time Virtual Resources
Many safety-critical applications employ embedded real-time systems where both timing and fault tolerance requirements must be continually satisfied. The Regularity-based Resource Partition...
- Implementing Next-Generation Embedded Systems with Functional Reactive Programming and Real-Time Virtual Resources
The use of sophisticated digital systems to control complex physical components in real-time has grown at a rapid pace. These applications range from traditional stand-alone systems to...- Multi-Mode Task Scheduling for Preemptive Functional Reactive Programming
Functional Reactive Programming (FRP) provides an elegant way to express computation in domains such as interactive animations, robotics, computer vision, user interfaces, and simulation....- Practical Real-Time Virtual Resources: Transparent Task Scheduling on Evenly Distributed Temporal Resource Partitions
Real-time resource partitioning (RP) divides hardware resources (processors, cores, and other components) into temporal partitions and allocates these partitions as virtual resources...- Real-Time Virtual Resources: Static Approximation Algorithms for Regularity-based Resource Partitioning
Real-time resource partitioning (RP) divides hardware resources (processors, cores, and other components) into temporal partitions and allocates these partitions as virtual resources...Betty H.C. Cheng – East Lansing, MI, United States
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Applying Model-Driven Requirements Engineering to Manage Uncertainty for High-Assurance Self-Adaptive Systems: Lessons Learned and Research Challenges
This presentation will overview several research projects that explore how model-driven requirements engineering can been used to model, analyze, and mitigate uncertainty arising in three...
- Be careful what you wish for...When should we trust AI?
Trustworthy artificial intelligence (Trusted AI) is essential when autonomous, safety-critical systems use learning-enabled components (LECs) in uncertain environments. When reliant on deep...- Search-Based Software Engineering for Learning-Enabled Self-Adaptive Systems
Trustworthy artificial intelligence (Trusted AI) is essential when autonomous, safety-critical systems use learning-enabled components (LECs) in uncertain environments. When reliant on deep...- Software Engineering for Learning-Enabled Self-Adaptive Systems
Trustworthy artificial intelligence (Trusted AI) is essential when autonomous, safety-critical systems use learning-enabled components (LECs) in uncertain environments. When reliant on deep...Rolf Drechsler – Bremen, Germany
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Polynomial Formal Verification: Ensuring Correctness under Resource Constraints
Recently, a lot of effort has been put into developing formal verification approaches by both academic and industrial research. In practice, these techniques often...
Domenic Forte – Gainesivlle, FL, United States
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Building Resilience: The Power of Cyber-Informed Engineering in a Digital Age
As our world becomes increasingly interconnected, the intersection of engineering and cybersecurity has emerged as a critical frontier. In...
Swaroop Ghosh – State College, PA, United States
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Demystifying Sensing Techniques for Non-Volatile Memories
Research, development and commercialization of emerging Non-Volatile Memories (NVMs) are being aggressively pursued by the design community to supplement and/or substitute the conventional...
- Making Noisy Intermediate Scale Quantum (NISQ) Computing Useful
The concerted effort by industry/academia has produced commercial quantum computers and algorithms that offer speed-up over classical counterparts (at least in principle). The basic...- Test Challenges and Solutions for Resilient Non-Volatile Memory Design
At the end of Silicon roadmap, several emerging non-volatile memory (NVM) technologies have surfaced. Due to plentitude of features such as, non-volatility, capability to create new...David Howard – Brisbane, QLD, Australia
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Autonomous Soft Robot Design
The emerging field of soft robotics presents a new paradigm for robot design in which “precision through rigidity” is replaced by “cognition through compliance.”...
- Embodied Intelligence and Morphological Computing in Robotics
Embodied intelligence is a vital and relevant philosophy that explains the emergence of natural intelligence, as aptly demonstrated by the rich array of flora and fauna in our world. In this...- Robotic Simulation, Modelling, and the Reality Gap
The use of simulators in robotics research is widespread, underpinning the majority of recent advances in the field. There are now more options available to researchers than ever before,...Gwanggil Jeon – Incheon, Republic of Korea
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Color Image Processing
This lecture addresses the problem of interpolating missing color components at the output of a Bayer color filter array (CFA), a process known as demosaicking. A luma-chroma demultiplexing...
Eren Kurshan – New York, NY, United States
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Making or Breaking AI: Grand Challenges, Opportunities and What We Might be Missing
Artificial Intelligence solutions face 3 Grand Challenges: (1) The Energy Challenge: An unprecedented growth in the training energy consumption is on the path to becoming ‘the...
Sung Kyu Lim – Suwanee, GA, United States
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The Need for Fine-Pitch 3D IC Die Bonding Technology: Power Performance Benefits Perspective
Some of the most popular technologies being actively adopted by the semiconductor industry for 3D heterogenous integration are micro-bumping and hybrid bonding. In this talk, we quantify and...
Yiyu Shi – Notre Dame, IN, United States
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Hardware/Software Co-Design Towards TinyML
In the past a few years, powered by the strong need of edge intelligence, there has been an increasing interest in deploying deep neural networks on tiny hardware with limited computing power and...
Per Stenstrom – Gothenburg, Sweden
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Compression in the memory hierarchy
The compute landscape is moving towards being data centric rather than compute centric as in the past. It is well known that cache and memory capacity has a significant impact on...
- Databound computer architectures
There are two trends that will have a significant impact on how to sustain an exponential computational performance growth at a reduced power consumption in the future. One trend is that...- Memory consistency models
The compute landscape is moving towards being data centric rather than compute centric as in the past. This puts lots of pressure on the memory system in modern computers and optimizations...- Memory hierarchies in modern processors
The compute landscape is moving towards being data centric rather than compute centric as in the past. This puts lots of pressure on the memory system in modern computers. This lecture...- Microarchitectures of modern processors
Exploiting parallelism at all levels of the compute stack is a prerequisite for delivering high compute performance. This ranges from instruction-level parallelism (ILP) to program or...Bidyadhar Subudhi – Ponda Goa, India
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Machine Learning Approach to Control an Autonomous
Research on Autonomous Underwater Vehicle (AUV) has attracted increased attention of control and robotics engineering community in the recent years due to its many interesting applications...
- Reinforcement Leaning Adaptive Control of a Flexible Manipulator
Manipulators with thin and light weight arms or links are called as Flexible-Link Manipulators (FLMs). These manipulators offer several advantages over their rigid-link counter parts including...Mohamed Zahran – New York, NY, United States
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AI Support for Architecture
There are a handful of chips to support machine learning (ML) training and many startups that design chips for inference. All of this is the hardware support for AI. In this talk, we will...
- Reinforcement Leaning Adaptive Control of a Flexible Manipulator
- Databound computer architectures
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The Need for Fine-Pitch 3D IC Die Bonding Technology: Power Performance Benefits Perspective
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Making or Breaking AI: Grand Challenges, Opportunities and What We Might be Missing
- Embodied Intelligence and Morphological Computing in Robotics
- Making Noisy Intermediate Scale Quantum (NISQ) Computing Useful
- Be careful what you wish for...When should we trust AI?
- Implementing Next-Generation Embedded Systems with Functional Reactive Programming and Real-Time Virtual Resources
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Resource-Aware Cyber-Physical Systems Design
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AI for Better Hardware & Hardware for Better AI
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Designing Accelerator-Centric Edge Architectures with Open-Source Platforms