Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

In today’s cybersecurity landscape, network modeling is emerging as a pivotal tool in safeguarding expanding data and network infrastructures. The challenges of asset mapping and vulnerability ...

Thanks to the popularity and widespread success of ChatGPT, most IT users are familiar with the concept of a large language model (LLM). But how does an LLM apply to network operations? Network and ...

Doug Bonderud is an award-winning writer capable of bridging the gap between complex and conversational across technology, innovation and the human condition. As artificial intelligence becomes ...

The Virtual Brain Inference (VBI) toolkit enables efficient, accurate, and scalable Bayesian inference over whole-brain network models, improving parameter estimation, uncertainty quantification, and ...

A network is a mathematical model used to represent relationships through connections, and this framework can be used to represent many real-world systems, such as the brain. There are multiple ways ...

The selfhosting community is an interesting and useful part of the Internet dedicated to removing one’s own services and data from the cloud and hosting it on their own servers, often on hardware that ...

Multi-electrode arrays (MEAs) provide a noninvasive interface with sub-millisecond temporal resolution and long-term, ...