The application of neural network models to semiconductor device simulation has emerged as a transformative approach in the field of electronics. These models offer significant speed improvements over ...

Researchers have developed a new binarized neural network (BNN) scheme using ternary gradients to address the computational challenges of IoT edge devices. They introduced a magnetic RAM-based ...

A new technical paper titled “Bringing uncertainty quantification to the extreme-edge with memristor-based Bayesian neural networks” was published by researchers at Université Grenoble Alpes, CEA, ...

Apple has recently secured a patent for a neural interface technology that promises to revolutionize how users interact with their devices. By leveraging brain-computer interface (BCI) technology, ...

Visitors will experience neural-click speed testing, gesture creation and smart-screen control powered by the Mudra LinkYokneam Illit, Israel, ...

Wearable Devices announces Large MUAP Models for personalized gesture control in AI and XR, aiming to enhance human-computer interaction. Wearable Devices Ltd. has announced the development of a new ...

Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates. Networks programmed directly into computer chip hardware can ...

Wearable Devices and RayNeo to showcase neural gesture-controlled AR glasses at CES 2025, enhancing user interaction in AR environments. Wearable Devices Ltd. has announced its participation in CES ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...