Graph Neural Networks (GNNs) and network embedding techniques have emerged as powerful tools for analyzing and interpreting complex data structures represented as graphs. These methods are ...

Deep neural networks will allow signal transfer of nerve cells to be analyzed in real time in the future. That is the result ...

Ericsson Cognitive Labs focus on the development of cutting-edge technologies such as Geometric AI and Machine Learning, with applications both in the world ...

Telecoms equipment vendor Ericsson has launched an open source AI research initiative called Cognitive Labs, which will focus ...

Mobile advertisements have evolved into a significant revenue stream, enabling developers to reach larger audiences. However, ...

DUBAI, United Arab Emirates, Jan. 30, 2025 (GLOBE NEWSWIRE) -- Klaus Agent, the AI-powered blockchain assistant, has officially integrated a custom DeepSeek model, making it one of the most ...

Massimiliano "Max" Lupo Pasini received the NERSC High Performance Computing Achievement Award for his innovative work on HydraGNN, an AI tool for material design.

The initiative will not have a dedicated physical location but will operate virtually with teams and activities centered in a ...

There is a critical need for noninvasive and reliable neuroimaging biomarkers to facilitate the early detection of neurological and psychological disorders, ...

At the World Economic Forum in Davos, tech executives stressed the importance of the U.S. and its allies advancing data ...

Lupo Pasini was awarded the National Energy Research Scientific Computing Center's High Impact Scientific Achievement ...

The world of machine learning is evolving rapidly, and choosing the right framework for training models can significantly ...