For more than 50 years, scientists have sought alternatives to silicon for building molecular electronics. The vision was ...

The researchers behind the recent work, based in China, decided to implement something similar for an artificial skin that ...

Electroencephalography (EEG) and functional Magnetic Resonance Imaging (fMRI) are two widely used neuroimaging techniques, with complementary strengths and weaknesses. Predicting fMRI activity from ...

After-sales operations in the automotive industry depend heavily on the availability of critical parts. When inventory gaps occur, service delays and… Leading supply chain experts have offered their ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.

in this video, we will understand what is Recurrent Neural Network in Deep Learning. Recurrent Neural Network in Deep Learning is a model that is used for Natural Language Processing tasks. It can be ...

President Trump went on a late-night attack against NBC and ABC News on Sunday, deriding them for what, in his view, was "biased" coverage and said he would be in favor of the Federal Communications ...

A new international study has introduced Curved Neural Networks—a new type of AI memory architecture inspired by ideas from geometry. The study shows that bending the "space" in which AI "thinks" can ...

What is CNN in Deep Learning? In this video, we understand what is CNN in Deep Learning and why do we need it. CNN (or Convolutional Neural Network) is the building block of all Computer Vision ...

ABSTRACT: To address the challenges of morphological irregularity and boundary ambiguity in colorectal polyp image segmentation, we propose a Dual-Decoder Pyramid Vision Transformer Network (DDPVT-Net ...