The rapid expansion of data volumes in modern applications has intensified the need for efficient methods of storing and retrieving information. Contemporary research in data compression focuses on ...

The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at lower cost has created a flood of information, and not all of it is clean. It ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now When large language models (LLMs) emerged, ...

In 2025, enterprises are leveraging AI capabilities to enhance data management. Just like 2023, 2024 was a dynamic year for enterprise data management, and 2025 is shaping up to bring even more change ...

Scientists from KAUST and engineers from Cerebras Systems have fine-tuned an existing algorithm, Tile Low-Rank Matrix-Vector Multiplications (TLR-MVM), to improve the speed and accuracy of seismic ...

Apache Arrow defines an in-memory columnar data format that accelerates processing on modern CPU and GPU hardware, and enables lightning-fast data access between systems. Working with big data can be ...

The Pentagon plans to expand a pilot program aimed at providing combatant commanders with advanced computing capabilities in theater. (Jennifer Napier/Marine Corps Systems Command) The U.S. Defense ...

Brex reports that automated invoice processing enhances efficiency, reduces costs, minimizes errors, and improves cash flow ...