The ability to analyze the brain's neural connectivity is emerging as a key foundation for brain-computer interface (BCI) ...

The reliability of public polling has been under scrutiny since major electoral mispredictions in 2016 and 2020, when ...

Model may also have applications in the prediction fields of renewable energy and other time series datasets, including ...

Sber opens weights of two new flagship MoE models in the GigaChat series — Ultra Preview and Lightning — trained from scratch ...

Cloud-native observability company Chronosphere Inc. today announced the launch of AI-Guided Troubleshooting capabilities, an advancement that helps engineering teams investigate and resolve ...

Alembic Technologies, a pioneer in Causal AI for the enterprise, today announced it has secured $145 million in Series B and growth funding - a 15.7x increase in valuation over their Series A round.

This important study describes a deep learning framework that analyzes single-cell RNA data to identify a tumor-agnostic gene signature associated with brain metastases. The identified signature ...

With the rapid advancements in computer technology and bioinformatics, the prediction of protein-ligand binding sites has become a central component of modern drug discovery and development.

The next generation of engineers and scientists is moving beyond conventional computing to master interdisciplinary fields.

Artificial intelligence (AI) is set to transform the care of women with cancer. From early detection via digital phenotyping ...

Information Theory Meets Deep Neural Networks: Theory and Applications. The previous volume can be viewed here: Volume I Deep Neural Networks (DNNs) have become one of the most popular research ...