Quantum computers promise enormous computational power, but the nature of quantum states makes computation and data ...

The Key to Driving Computing Power Optimization With the rapid increase in AI model parameters, traditional network architectures can no longer meet the growing demand for computing power. H3C Group's ...

Fei Li, Associate Professor, Computer Science, College of Engineering and Computing (CEC), received funding for the project: “Quantum Algorithms for High-Performance Analysis of Single-Cell Omics Data ...

"Building large-scale computing infrastructure resembles constructing a 'giant power plant', but the actual needs of AI applications demand readily available 'plug-and-play sockets'.Current AI ...

Just as we swung from championing algorithms to data to infrastructure, we'll shift our focus back to data — more specifically, acquiring the right data.

Traditional algorithms power complicated computational tools like machine learning. A new approach, called algorithms with predictions, uses the power of machine learning to improve algorithms.

So, an algorithm is the process a computer uses to transform input data into output data. A simple concept, and yet every piece of technology that you touch involves many algorithms.