Abstract: In parallel distributed data processing frameworks like Spark and Flink, task scheduling has a great impact on cluster performance. Though task Scheduling has proven to be an NP-complete ...

Abstract: Event building is an important task for data acquisition (DAQ) systems in high-energy physics experiments. D-Matrix is designed as a generic distributed stream processing DAQ platform, ...

One of the first commercial capture systems built to give humanoid robots the 3D signals they use at inference: depth, ...

Taceo CEO says demand is growing for privacy-preserving biometrics that verify identity without exposing sensitive data or creating centralized databases.

Running AI is totally draining Earth's power grids, so your company's next data center might actually be launched into space.

For most government entities, the traditional assumption that AI requires data to come to it is simply not an option. That ...

Yandex has open-sourced YaFF (Yet Another Flat Format), a new technology for efficient data transmission and processing in ...

Supermicro expanded its edge AI systems with Intel-powered platforms for local inference, industrial automation, and ...

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The 10 coolest big data tools of 2026 so far include products from Databricks, Google Cloud, Starburst, Teradata and ...

NASA’s Distributed Model or the ODNI’s Centralized Model? UAPs (Unidentified Anomalous Phenomena): Is the Future in a ...

Industry discussions about what’s holding back AI often focus on security, graphics processing unit availability and other ...