Modern neuroscience and the computational modeling of the activities of vast, integrated neural networks provide fruitful accounts of how our minds work and learn.

SimActive introduces distributed processing in Correlator3D, enabling faster photogrammetry workflows and scalable mapping.

Interest in intensified manufacturing is driving innovation in downstream technologies, according to the team behind a new predictive freeze-drying model designed with continuous processes in mind.

I vividly recall that, when I was a graduate student in the late 1990s, on the bookshelves of the professors’ bookcases, I would often see the two volumes of Parallel Distributed Processing: ...

When using the VLM Pipeline with external APIs (e.g., Azure OpenAI), parallel processing is severely limited, resulting in slow document conversion. concurrency - Already works but undocumented.

Discover the innovative distributed model in veterinary education with insights from LMU's executive dean, exploring its benefits and challenges for future veterinarians. On this week's episode of The ...

A novel parallel computing framework for chemical process simulation has been proposed by researchers from the East China University of Science and Technology and the University of Sheffield. This ...

1 KNDS Deutschland GmbH & Co. KG, Munich, Germany 2 Institute for Software Technology, University of the Bundeswehr Munich, Neubiberg, Germany Artificial intelligence (AI) has emerged as a ...

The neural networks dominating AI in recent years have achieved a remarkable level of behavioral flexibility, in part due to their capacity to learn new tasks from only a few examples. These ...

Background: With the acceleration of global aging, loneliness among older adults has become a prominent issue and a critical public health concern. Existing research has primarily focused on the cross ...