1 citations · 1 across the 6 of their papers we have counts for
6 papers
A Scalable All-to-All Reconfigurable Ising Solver Using Pulsed Time-Division Multiplexing
Henry Love, Zhehao Yu, Mohammad Alimadadi +6
Physics-based computing platforms, such as those based on the Ising model, are an important pillar of future hardware systems built for the artificial intelligence (AI) era. Such p…
Neural dynamical systems on ferroelectric compute-in-memory for real-time forecasting
Keshava Katti, Adithya Selvakumar, Pratik Chaudhari +1
Neural dynamical systems are expressive temporal predictors that capture continuous-time dynamics through fine-grained state updates. However, this sequential structure maps poorly…
Neuromorphic Computing for Low-Power Artificial Intelligence
Keshava Katti, Pratik Chaudhari, Deep Jariwala
Classical computing is beginning to encounter fundamental limits of energy efficiency. This presents a challenge that can no longer be solved by strategies such as increasing circu…
TreeScope: An Agricultural Robotics Dataset for LiDAR-Based Mapping of Trees in Forests and Orchards
Derek Cheng, Fernando Cladera Ojeda, Ankit Prabhu +6
Data collection for forestry, timber, and agriculture currently relies on manual techniques which are labor-intensive and time-consuming. We seek to demonstrate that robotics offer…
Analog Content-Addressable Memory from Complementary FeFETs
Xiwen Liu, Keshava Katti, Yunfei He +6
To address the increasing computational demands of artificial intelligence (AI) and big data, compute-in-memory (CIM) integrates memory and processing units into the same physical…
MammoFL: Mammographic Breast Density Estimation using Federated Learning
Ramya Muthukrishnan, Angelina Heyler, Keshava Katti +11
In this study, we automate quantitative mammographic breast density estimation with neural networks and show that this tool is a strong use case for federated learning on multi-ins…