Leveraging open-source AI platforms, this technology enables automated image-based detection, prediction, and control of microfluidic single bubble/droplet formation.
A ferroelectric transistor memory device combines AlScN dielectric with a 2D semiconductor channel such as MoS2 for non-volatile memory compatible with CMOS back-end of line (BEOL) fabrication.
Bias-tolerant training method for analog AI hardware that improves learning stability without digital correction.
A one-shot imitation learning framework that enables robots to adjust their behavior based on task specifications and scene changes.
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.