Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language translation. A quantum counterpart—known as a quantum convolutional neural ...

The NIH funding will help BioInVision and university researchers develop technology to track "hiding" cells throughout the ...

Future events such as the weather or satellite trajectories are computed in tiny time steps, so the computation must be both ...

In this architecture, the training process adopts a joint optimization mechanism based on classical cross-entropy loss. WiMi treats the measurement probability distribution output by the quantum ...

RNA is a central biological macromolecule, now widely harnessed in medicine and nanotechnology. Like proteins, RNA function ...

WiMi Hologram Cloud is studying a hybrid quantum-classical learning architecture for advanced multi-class image classification applications in artificial intelligence research worldwide.

Research shows how artificial intelligence is revolutionizing plastics manufacturing through material development and process ...

Embodied learning for object-centric robotic manipulation is a rapidly developing and challenging area in embodied AI. It is ...

As you begin your hybrid quantum approach, here are the advantages, use cases and limitations to keep in mind.

Researchers have used cryo-EM and computational tools to visualize ribozyme assembly, shedding light on life's most versatile ...

A study captured the first near frame-by-frame view of a self-splicing ribozyme assembling into its active form. Using ...

In the past, the whole process of making professional videos out of still images was very costly and involved a lot of editing skills, taking hours manually, an ...