A deep dive into the unseen systems behind Google Search – uncovering live experiments, entity-based infrastructure, AI ...

Diffusion models are widely used in many AI applications, but research on efficient inference-time scalability, particularly ...

Google's new multi-vector retrieval algorithm (MUVERA) improves search speed and performs better on complex queries.

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

Therefore, we tested the potential of new deep learning-based image-matching algorithms for deriving glacier surface velocities across the ablation area of a glacier with strong spatial variability in ...

In numerous application areas, high-dimensional nonlinear filtering is still a challenging problem. The introduction of deep learning and neural networks has improved the efficiency of classical ...

Deep learning, particularly 3D U-Net architectures, has revolutionised medical image analysis by leveraging volumetric data to capture spatial context, enhancing segmentation accuracy. This paper ...

Communication overhead is a significant challenge in distributed deep learning (DDL) training, often hindering efficiency. While existing solutions like gradient compression, compute/communication ...

Keywords: pancreatic tumor segmentation, cascaded algorithm, deep learning, non-local localization module, focusing module Citation: Qiu D, Ju J, Ren S, Zhang T, Tu H, Tan X and Xie F (2024) A deep ...

Recently, Shaila Niazi, a third-year doctoral student in Çamsari’s lab, achieved a significant breakthrough in that effort, becoming the first to use probabilistic hardware to train a deep generative ...