Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to partly emulate the functioning and structure of biological neural networks. As a ...

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...

Renesas Electronics Corporation (TSE:6723), a premier supplier of advanced semiconductor solutions, today introduced the ...

Group targeted at Artificial Intelligence (AI) and Machine Learning (ML) applications, as well as real-time analytics.

The results are really astonishing. Tests show that offices save up to 37% on their energy bills with AI-optimized and ...

While deep learning-based FAS models have made remarkable progress, the study highlights critical challenges that undermine ...

In this paper, we propose a new end-to-end deep neural network model for time-series classification (TSC) with emphasis on both the accuracy and the interpretation. The proposed model contains a ...

Article Published: August 1999 Reciprocal interactions between CA3 network activity and strength of recurrent collateral synapses Jaideep S. Bains, J. Mark Longacher & Kevin J. Staley Nature ...

With no crew, no camera, little money and a lot of words, anyone can become a filmmaker today. Satyen K. Bordoloi chronicles the history of the AI filmmaking movement with an emphasis on the week that ...

Quadrants has released its latest AI inference Startups/SMEs Companies Assessment, 2025, recognizing key players, including ...

AI is being used to model gene regulation and predict cellular behavior from transcriptomic data. Learn how these tools aid discovery in biology, medicine, and synthetic biology—along with key ethical ...