Compact 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 have been possible without the...
EFRI 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, deduce the unobserved, and anticipate...
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 NETwork (INSECT NET) is a transdisciplinary program at Penn State University that aims to empower students to develop solutions to the insect biodiversity crisis. The...
FuSe-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 domains. The enormity of the data is...
PRISM – Processing with Intelligent Storage and Memory.
Overview Data volumes are growing faster than Moore’s Law and outstripping the total silicon production capacity. Future personalized, secure, data-intensive, and interactive applications require massive, distributed memory and storage. Systems have to compute in...
FET: 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 driver for efficiency improvements. With...
ASCENT: 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 harnesses the inherent efficiency of physical...
SNN 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 currently no established benchmarks for...
3DFeM: CENTER FOR 3D FERROELECTRIC MICROELECTRONICS
Overview: 3DFeM is one of the 41 active Energy Frontier Research Center (EFRC) program funded by U.S. Department of Energy’s (DOE) office of Basic Energy Science (BES). 3DFeM will enable technologies exploiting the 3rd dimension in microelectronics for functions...