S3OD is a large-scale fully synthetic dataset for salient object detection and background removal, with 140K high-quality images generated using diffusion models. Our model, trained on large-scale ...

This repository contains the official author's implementation associated with the paper "GUAVA: Generalizable Upper Body 3D Gaussian Avatar". With just a single image and a tracked pose, GUAVA can ...

Tsukuba, Japan—Gait assessment is critical for diagnosing and monitoring neurological disorders, yet current clinical standards remain largely subjective and qualitative. Recent advances in AI have ...

Ali Madani, PhD, CEO of Profluent, says there’s an urgent need to move away from the time-consuming slog of random therapeutic discovery and into artificial intelligence (AI)-based bespoke design.

Introduction: Rare diseases are characterized by low prevalence, a profound impact on patients, and significant challenges in accessing treatment. In Saudi Arabia, the absence of an official ...

Abstract: Out-of-distribution (OOD) generalization is critical for applying reinforcement learning algorithms to real-world applications. To address the OOD problem, recent works focus on learning an ...

Abstract: This paper introduces a generalizable telerobotic solution for the coupling between manual and machine workflow tracks to facilitate the incorporation of personnel-required procedures in lab ...

Wayve: Transitioning from left-hand drive in the UK to right-hand drive in the US is a significant challenge for traditional self-driving systems Wayve's AI adapts seamlessly across countries and ...

COVID-19 vaccination has been the subject of immense scrutiny and misinformation since the vaccines were first administered in the U.S. nearly four years ago. In the first year alone, it is estimated ...