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 ...

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Facebook AI Research (FAIR) today unveiled ...

Forward-looking: Computers excel at taking a 3D model and rendering it on a 2D screen. What they are not so capable of is taking a 2D image and creating a 3D model. However, thanks to machine learning ...

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 ...

Microsoft announced that it is transferring its Computational Network Toolkit (CNTK) from CodePlex to the well-known open-source host GitHub, making it more accessible to many developers. CNTK is an ...

A new deep-learning framework is speeding up the process of inspecting additively manufactured metal parts using X-ray computed tomography, or CT, while increasing the accuracy of the results. The ...

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 ...

WEST LAFAYETTE, Ind. – Proteins are often called the working molecules of the human body. A typical body has more than 20,000 different types of proteins, each of which are involved in many functions ...