Dr. Vijaykrishnan Narayanan Honored with Highest Faculty Distinction, “Evan Pugh University Professorship”
We are thrilled to announce that Dr. Vijaykrishnan Narayanan, the director of the Microsystems Design Lab, has been awarded the prestigious Evan Pugh University Professorship. The professorships are named for Penn State’s...
Read MoreCompact and Energy-Efficient Compute-in-Memory Accelerator for Deep Learning Leveraging Ferroelectric Vertical NAND Memory
Overview: The field of artificial intelligence (AI) has recently made significant strides, with notable advancements such as large language models like ChatGPT taking the world by storm. However, these breakthroughs would not...
Read MoreEFRI BRAID: Neuroscience Inspired Visual Analytics
Overview: Intelligence is determined by how efficiently a machine learns and stores knowledge about the world, enabling it to handle unanticipated tasks and new environments, learn rapidly without supervision, explain decisions,...
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NRT-HDR: Interdisciplinary Studies in Entomology, Computer Science and Technology NETwork (INSECT NET)
Overview: The NRT-HDR: Interdisciplinary Studies in Entomology, Computer Science and Technology...
Read MoreFuSe-TG: FAB: A Heterogeneous Ferroelectronics Platform for Accelerating Big Data Analytics
Overview: Data generated over social media, biomedical monitoring, and the Internet-of-Things are increasing exponentially. The ability to extract useful information from this big data is critical towards advances in varied...
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PRISM – Processing with Intelligent Storage and Memory.
Overview Data volumes are growing faster than Moore’s Law and outstripping the total silicon...
Read MoreFET: Leveraging Monolithic 3D for Architectural Innovations
Overview: The design of more efficient processors is a major driving force of the computing industry. Over multiple decades, reducing the size of transistors, which are the building blocks of microprocessors, has been the main...
Read MoreASCENT: Ferroelectric-based Compute-in-Memory Dynamical Engine (Ferro-CoDE) to Solve Hard Combinatorial Optimization
Overview: The ASCENT project aims to revolutionize computing efficiency by developing a novel hardware platform called the Ferroelectric-based Compute-in-Memory Dynamical Engine (FerroCoDE). This groundbreaking platform...
Read MoreSNN Benchmarking – Chromologic Inc
Research Overview: The objective of the project is to develop a set of neuromorphic benchmarks that can be useful to demonstrate the ability for event-based inference hardware. As with conventional ML hardware, there are...
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3DFeM: CENTER FOR 3D FERROELECTRIC MICROELECTRONICS
Overview: 3DFeM is one of the 41 active Energy Frontier Research Center (EFRC) program funded by...
Read MoreNew Paper in ACM Multimedia 2022
Our paper titled “Robust Multimodal Depth Estimation using Transformer based Generative Adversarial Networks” got accepted in ACM Multimedia 2022. In this paper, we propose a Transformer based GAN to recover dense...
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