Big data may hold a world of untapped potential, but what happens when your data set is bigger than your processing power can handle? A new algorithm that taps quantum computing may be able to help.

When PageRank was developed in the 1990s, building powerful AI models was all about algorithms and architecture. In the 2000s, with the birth of Hadoop and large-scale data mining, we rushed to ...

Nelson’s algorithms often use a technique called sketching, which compresses big data sets into smaller components that can be stored using less memory and analyzed quickly. For example, in 2016 ...

The new data sorting system based on memristor technology, improved energy efficiency by more than 160 times compared to ...

By November 2024, the companies had entangled 24 logical qubits and successfully ran a quantum algorithm using 28 logical qubits. As of 2025, Atom Computing’s neutral atom-based system features ...

Hadoop and Spark are both big data processing frameworks, but Spark is quicker because of in-memory computing, making it suitable for real-time data analysis. Batch processing is appropriate for ...

New machine learning algorithm promises advances in computing Digital twin models may enhance future autonomous systems Date: May 9, 2024 Source: Ohio State University ...

A new algorithm opens the door for using artificial intelligence and machine learning to study the interactions that happen ...

RSA’s demise is greatly exaggerated. At the Enigma 2023 Conference in Santa Clara, California, on Tuesday, computer scientist and security and privacy expert Simson Garfinkel assured researchers ...