Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

As data and the processing of it grows exponentially, companies like Microsoft, AWS, and Google are designing green data centers using ... 1. Efficient algorithms and data structures: Algorithms ...

The system could also help scientists who are not experts in deep learning but want to improve the efficiency of AI algorithms they use to process data. In addition, the system could have ...

This will also be an introduction to the role of randomization in algorithm design. Next, we will study hashtables: a highly useful data structure that allows for efficient search and retrieval from ...

focuses on Model Predictive Control (MPC)—the use of algorithms to optimize a process, rather than just correct for process deviation. “We’re using a model predictive control algorithm to ...

Grover's algorithm is then applied for precise searching, thereby improving search efficiency ... speed data processing and optimization analysis. By simulating the neural network structure ...

for determining 3D RNA structure, are difficult to use and time-consuming for data collection. Due to this deficiency of “ground-truth” data, it has been challenging to optimize key RNA ...

Trucking industry leaders want to minimize empty-trailer trips to improve costs and efficiency. Uber Freight is using AI on its ... learning to pioneer an algorithm that ensures carriers receive ...