His job is to reimagine the future of drugmaking using that similarly trendy branch of computer science, artificial ...

The brain’s chatter has always been partly out of reach, with electrical spikes easy to record but the chemical whispers ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

Artificial intelligence is changing the way portfolios are built and managed. For a long time, investors relied mainly on ...

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

Abstract: Polar codes with large kernels offer improved error-correction performance but suffer from high decoding complexity due to costly marginalization operations. In this work, we propose neural ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Abstract: Physics-informed neural networks (PINNs) have recently been utilized to tackle wave equation-based forward and inverse problems. However, they encounter challenges in accurately predicting ...

We introduce the NiNo model predicting future (nowcasting) parameters by learning neuron interaction in vision and language tasks. We feed c (c=5 by default) past parameter states as input to NiNo and ...