The safety performance of autonomous vehicle (AV) algorithms is boosted by 90% using simulation data that better incorporates ...

Abstract: In recent years, deep learning (DL) methods have been extensively developed for inverse imaging problems (IIPs), encompassing supervised, self-supervised, and generative approaches. Most of ...

Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...

How are leading firms redefining their competitive advantage in electronic fixed income trading? Explore the next frontier ...

Caption:After more than a quarter of a century on TV, Karl Stefanovic’s goodbye to his free-to-air audience was not broadcast ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

[2024/4/23] We have added an audio-grounding feature that tracks the sound-making object within the video's soundtrack. [2023/5/12] We have authored a technical report for SAM-Track. [2023/5/7] We ...

TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFlow ecosystem, TensorFlow Probability provides integration of ...

Social media feeds are becoming more customizable as platforms like Threads, Instagram, and TikTok introduce tools that let users directly influence the algorithms powering their recommendations.

Abstract: This tutorial presents an end-to-end modular framework for signal processing techniques used in radar systems. The taxonomy of radar has been reviewed, as well as the subsystems of radar.