This valuable study presents a plastic recurrent spiking network model that spontaneously generates repeating neuronal sequences under unstructured inputs. The authors provide solid evidence that, ...

Read more about Smart wearable tech with AI brings real-time performance insights to strength training on Devdiscourse ...

Researchers have developed an integrated gray wolf optimization algorithm-based hybrid estimation framework that combines ...

A new review examines how insertion and deletion (indel) errors disrupt data synchronization in modern communication systems.

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...

Artificial intelligence is transforming industries ranging from healthcare and autonomous vehicles to smart manufacturing and entertainment. However, its ...

Opioid dependence, characterized by high relapse rates and substantial social harm, represents a major global public health ...

Pradhan and Basab Chakraborty, has developed a grey wolf optimisation (GWO)-based hybrid regression model that significantly improves state-of-health (SOH) estimation for bipolar lead-acid batteries.

Researchers at Skoltech have proposed a new approach to training neural networks for wave propagation in absorbing media. The method significantly improves the accuracy and stability of solutions and ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

The advent of high-density recording technologies, such as Neuropixels and large-scale calcium imaging, has provided an unprecedented look into the ...

Can AI learn by shrinking? A new study introduces a development-inspired continual learning framework for spiking neural ...