Hardware, Power and Energy

Available Speakers and their Lectures on this Topic

Biologically-Inspired IoT Systems for Federated Learning-Based Healthcare
Internet of Things (IoT) is the next frontier of innovation where our everyday objects are connected in ways that improve our lives and can transform industries, in particular healthcare and...
Sustainable Cloud Computing Systems: Follow Your Brain!
Information technology (IT) has emerged as a pillar for a digital economy of growth. At the core of this digital economy is cloud computing to centralize global IT services with ubiquitous...

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...
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,...
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...

Sustainable Computing - Cars, Games, Phones, and Drones
Cars, computer games, smartphones and drones are currently witnessing unprecedented technological advancements and are poised to change many aspects of how we live. Imagine the impacts that fully...

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...

Optimizing Deep Learning for Real-World Deployment: The Role of Hardware-Aware Neural Architecture Search
Hardware-aware Neural Architecture Search (NAS) has emerged as a crucial approach to optimize the design of deep neural networks (DNNs) for specific hardware platforms, unlocking...
Platform for Next-Generation Analog AI Hardware Acceleration
Analog In-Memory Computing (AIMC) is a game-changing approach that boosts the efficiency of Deep Neural Network (DNN) inference and training. It tackles the performance losses caused by...
Revolutionizing Enterprise AI: The Power and Promise of Foundation Models
Modern AI models excel at processing vast amounts of data and addressing complex problems through innovative solutions. As we progress, AI is undergoing a transformative shift towards the...

A Carbon-Oriented Energy System Framework with Cross Disciplinary Technologies
The retirement of unabated coal power plants, the plummeting cost of renewable energy technologies, along with more aggressive public policies and regulatory reforms, are occurring at an...

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...

Neuromorphic Computing: Bridging the gap between Nanoelectronics, Neuroscience and Machine Learning
While research in designing brain-inspired algorithms have attained a stage where such Artificial Intelligence platforms are being able to outperform humans at several cognitive tasks, an...

Optimizing Deep Learning for Real-World Deployment: The Role of Hardware-Aware Neural Architecture Search
Hardware-aware Neural Architecture Search (NAS) has emerged as a crucial approach to optimize the design of deep neural networks (DNNs) for specific hardware platforms, unlocking...
Platform for Next-Generation Analog AI Hardware Acceleration
Analog In-Memory Computing (AIMC) is a game-changing approach that boosts the efficiency of Deep Neural Network (DNN) inference and training. It tackles the performance losses caused by...
Powering the Future of Efficient AI through Approximate and Analog In-Memory Computing Principals
Artificial Intelligence has transformed nearly every business process and industry, from finance, healthcare, and energy to supply chain optimization, sales, marketing, and HR. The...
Revolutionizing Enterprise AI: The Power and Promise of Foundation Models
Modern AI models excel at processing vast amounts of data and addressing complex problems through innovative solutions. As we progress, AI is undergoing a transformative shift towards the...

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...

A Muti-agent Distributed Control of a Microgrid
A microgrid is a small-scale power system that facilitates integration of Distributed Generations (solar photovoltaic, and wind turbine etc.), local loads and energy storage units. This lecture...
Adaptive Filtering Approaches to Control Maximum Power Extraction and Grid Synchronization of PV systems
In the recent years more research and development activities are directed on generating power from renewable sources such as solar photovoltaic (PV) and wind energy systems to meet the...