In de autoproductie-sector, inclusief de EV-sector, bestaat een toenemende behoefte aan simplificatie, flexibiliteit en efficiëntie. Bij bijvoorbeeld het bouwen van een nieuwe fabriek of het inpassen ...

Several computer vision tasks require perceiving or interacting with 3D environments and objects therein, making a strong case in favor of 3D deep learning. However, unlike images which are most ...

Several computer vision tasks require perceiving or interacting with 3D environments and objects therein, making a strong case in favor of 3D deep learning. However, unlike images which are most ...

We are currently seeking a Postdoctoral Research Associate to undertake fundamental and applied research into novel deep learning approaches to analysing LiDAR and vision data in forest imaging and ...

In a recent study published in the journal Nature Methods, a group of researchers developed a novel method called Ribonucleic Acid (RNA) High-Order Folding Prediction Plus (RhoFold+). This deep ...

A recent study introduces an innovative method for analyzing body composition using advanced 3D imaging and deep learning techniques. This approach aims to provide more accurate assessments of body ...

MoGLo-Net tracks the motion of the ultrasound transducer using tissue speckle data without the need for external sensors, creating a clear 3D ultrasound volume for accurate visualization of bodily ...

OpenAI is enhancing its AI-powered “deep research” feature with the ability to analyze codebases on GitHub. On Thursday, OpenAI announced what it’s calling the first “connector” for ChatGPT deep ...