Data access empowerment operating models enable public health leaders to make timely, informed decisions with trusted intelligence and faster insights.

The company mainly trained Phi-4-reasoning-vision-15B on open-source data. The data included images and text-based descriptions of the objects depicted in those images. Before it started training the ...

Terrestrial data centers are so 2025. We're taking our large-scale compute infrastructure into orbit, baby! Or at least, that's what Big Tech is yelling from the rooftops at the moment. It's quite a ...

The Department for Work and Pensions (DWP) has published a “data strategy” document that sets out what it believes it will take to become an organisation transformed by data usage by 2030. This ...

Abstract: When lightweight backbones pretrained on natural scene datasets are applied to object detection in aerial remote sensing images (ARSIs), the detection performance varies significantly. This ...

Electrochemical impedance spectroscopy (EIS) provides valuable insights into the physical processes within batteries – but how can these measurements directly inform physics-based models? In this ...

As blockchain adoption grows, traditional architectures face scalability and efficiency challenges. Transaction throughput, storage limitations, and smart contract complexity strain many networks.

A common misconception in automated software testing is that the document object model (DOM) is still the best way to interact with a web application. But this is less helpful when most front ends are ...

NetApp® (NASDAQ: NTAP), the intelligent data infrastructure company, today announced NetApp StorageGRID® 12.0, a scalable, software-defined object storage solution designed for unstructured data. This ...

We present a cost-effective pretraining paradigm for VLA models using only synthetic data, achieving direct sim-to-real transfer and strong zero-shot generalizability for robotic grasping. Key ...