EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses ...

AI data centers are consuming energy at roughly four times the rate that more electricity is being added to grids, setting the stage for fundamental shifts in where power is generated, where AI data ...

For tech leaders navigating Industry 4.0, real-time inventory is emerging as a core driver of agility, automation and ...

Hyperparameter optimization still remains the core issue in Gaussian processes (GPs) for machine learning. The classical hyperparameter optimization scheme based on maximum likelihood estimation is ...

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 problem, a ...

Multimodal data processing startup Eventual Inc. is looking to transform the way companies deal with unstructured data after closing on $30 million in venture capital funding.

Eventual's data processing engine Daft was inspried by the founders' experience working on Lyft's autonomous vehicle project.