We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

A project group including Tongji University, Stanford University and Shanghai Institute of Technical Physics has developed a camera said to help solve the inherent imaging trade-off between bandwidth ...

A high-resolution 3D model of Rano Raraku shows that the moai were created in many distinct carving zones. Instead of a top-down system, the statues appear to have been produced by separate family ...

Fig. 1 Neural array imaging system and its principle behind its ability to break the trade-off between aperture size, ffeld of view, and imaging quality. (a) The system consists of a metalens array, a ...

A flexible monolithic 3D-integrated tactile sensing system, inspired by the tactile perception mechanism of human skin, was developed based on a holey MXene paste. Large-scale device fabrication was ...

According to Sawyer Merritt, Tesla utilizes footage from its extensive vehicle fleet to synthetically generate new driving scenarios, enhancing the safety and robustness of its self-driving software.

A new study shows that the widely used antidepressant fluoxetine does more than boost serotonin levels: it changes how brain cells manage their energy and rebuild their connections, potentially ...

- Technical innovation cuts production cycle time by up to six months- First 3D-printed solar arrays will fly Spectrolab solar cells aboard small satellites built by Millennium Space Systems- Designed ...

Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech researchers have been developing a neural network made out of strands of DNA instead ...

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

Abstract: When applied to sparse phased arrays designed for radar cross section (RCS) reduction, existing 3D space-time adaptive processing (STAP) techniques undergo significant performance ...

Summary: Researchers have developed a groundbreaking 3D brain model that closely mirrors the architecture and function of the human brain. Built using biomimetic 3D printing, the Bioengineered Neural ...