This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

The study points up interpretability as a critical barrier to trust and adoption. Many AI-based cybersecurity tools function as black boxes, producing alerts or classifications without clear ...

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 ...

One of the most complex quantum networks built to date would allow 18 people to communicate securely thanks to the power of quantum physics. The researchers behind the work say it offers a practical ...

Researchers have discovered a way to speed up quantum error correction (QEC) by a factor of up to 100 — a leap that could significantly shorten the time it takes ...

Quantum technologies are systems that can compute data, sense their surrounding environment or perform other functions leveraging quantum mechanical effects. Connecting these technologies over long ...

Quantum technology is one of the most promising opportunities of the coming decade, with several billion dollars already invested, a wide variety of early products reaching the market, and a growing ...

Over the past decade, deep learning (DL) techniques such as convolutional neural networks (CNNs) and long short-term memory (LSTM) networks have played a pivotal role in advancing the field of ...

SoftBank said that the demonstration results show that high-performance AI models and GPUs are indispensable for achieving 5G-Advanced and 6G performance In sum – what to know: 30% boost in 5G ...

Abstract: Discrete time-varying problems are pervasive in the fields of engineering and science. Traditional handling schemes to discrete problem often involve the intervention of continuous-time ...