UC Berkeley School of Information

Berkeley Data Science Alums Build Gaze-to-Speech Communication Tool

Master of Information and Data Science (MIDS) alums Katya Aukamp, Beta Desai, Nichol Flowers, and Clara Rhoades are the ...
IEEE

Self-Supervised High-Order Information Bottleneck Learning of Spiking Neural Network for Robust Event-Based Optical Flow Estimation

Abstract: Event cameras form a fundamental foundation for visual perception in scenes characterized by high speed and a wide dynamic range. Although deep learning techniques have achieved remarkable ...
IEEE

Revisiting Semantic Gap in U-shaped Networks from a Performance Oriented Perspective: Quantification, Visualization, and Optimization

Abstract: Automatic medical image segmentation is a fundamental component of computer-aided diagnosis. U-shaped networks (U-Nets) remain the most widely adopted architecture due to their suitability ...
Nature

Orbital angular momentum multiplexing diffractive neural networks for high-capacity optical inference

Deep diffractive neural networks have emerged as an all-optical computing paradigm that overcomes the bottlenecks of traditional electronic computing. However, traditional deep diffractive neural ...