A conversational large language model (LLM) that analyzes health data and communicates with patients to provide actionable insights.
A device consisting of electrode patches, a control box, and software for automated nerve conduction studies.
A Quadrature Delay-Locked Oscillator that caters to increasing multi-GHz and multi-phase clock demands in systems such as time-interleaved architectures.
A reconstruction algorithm based on a generative diffusion model for multi-coil, highly undersampled non-Cartesian MRI allowing drastic reduction of scan time
An algorithm designed to defend Large Language Models (LLMs) against jailbreaking attacks that significantly reduces attack success rates.
A machine learning technique that identifies biomarkers from neuroimaging data, allowing for identification and treatment of populations vulnerable to neurodegenerative diseases.
A physical embodiment of a locally-learning neural network, which learns faster than current CPU-based nets.
A radio frequency-based 3D imaging system that can generate LiDAR-comparable images with reduced power and processing needs.
SCALPEL is a lightweight optimization tool for automatically compartmentalizing policies for hardware-accelerated enforcement in a tagged architecture. The tool also creates a layer or protection (or hardening) by learning and allowing certain privileges based on learned expectations.
A photoresponsive polymer layer that can be integrated into microfluidic devices for selective release of unique droplets