The Machine Intelligence from Cortical Networks (MICrONS) Project has built the most detailed wiring diagram of a mammalian brain to date. Today, scientists published the scientific findings (see ...

While GPUs were initially designed for rendering graphics, their architecture makes them exceptionally well-suited for the parallel processing requirements of many machine learning algorithms. In this ...

At the same time, compared with other lightweight network models, this network architecture gives a good recognition result, with a recognition accuracy of 97.53%. The network structure is simple, the ...

Enterprise architecture (EA) explained. In the beginning, no one needed enterprise architecture (EA) tools. A back of an envelope would do in the early years. Thomas Watson Jr., one of the leaders ...

1 Introduction. The WHO currently estimates that smoking causes around 8 million deaths a day. It is the leading cause of death from a wide range of diseases, for example, heart attacks, obstructive ...

Machine learning might be the world’s most important general-purpose technology, but it’s notoriously difficult to launch. Outside of Big Tech and a handful of other leading companies, machine ...

With the combined help of Vega Architecture ... that not all machine learning tasks require GPUs, and the choice of hardware depends on the specific requirements and scale of the project.

This article looks at 13 open source projects that are remaking the world of AI and machine learning. Some are elaborate software packages that support new algorithms. Others are more subtly ...

With machine learning being one of the hottest areas of research, there’s always a solid chance that someone else has solved a problem that is similar to yours. In such cases, the wise thing to ...

The market for frameworks to help build user interfaces for machine learning projects is growing. New players appear and old ones evolve. The big question is what are the frameworks of choice for ...