Palo Alto Networks is charging full speed ahead on attempting to be as much of a one-stop cyber shop as is possible in the ...

Chennai: In a major push to build deep-tech capabilities in India’s workforce, IITM Pravartak Technologies Foundation, the ...

While Nvidia’s GB200 significantly outperforms Huawei CloudMatrix 384 at the chip level, Huawei gains an advantage at the ...

Bearings are vital components in various industries such as chemical, textile, food, and tobacco. Timely fault diagnosis is crucial for maintenance, performance, safety, and cost efficiency.

This paper proposes a flux saturation model of synchronous reluctance machines (SynRMs) using an artificial neural network. The proposed ANN model is structured with current as the input and flux as ...

This professional certificate program introduces technical professionals to the application and implications of AI on cybersecurity.

Decision-making often involves trial and error, but conventional models assume we always act optimally based on past experience.

A parametric version of t-SNE that employs neural networks is less commonly known, yet it has demonstrated superior performance in dimensionality reduction compared to the standard implementation.

Lecture 2: crash course on programming neural networks In the second session, we move beyond Python basics to implement a simple neural network entirely from scratch using Python and a few standard ...