U.S. Department of Energy's (DOE) Argonne National Laboratory is helping researchers explore novel ways to design aeroplanes ...

Northwestern University and University of California, Los Angeles (UCLA) scientists have developed a new process-based ...

AppLovin's AI-powered Axon platform drives scalable, high-margin ad revenue with strong FCF growth. Learn why APP stock is a ...

Nebius Group, a $13B Dutch firm, leads the AI boom with specialized GPU infrastructure, strategic NVIDIA ties & global ...

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving ...

Researchers have demonstrated a new technique that allows "self-driving laboratories" to collect at least 10 times more data ...

Real-time vehicle data are collected using cameras deployed along highways, and key traffic parameters such as flow, density, and speed are precisely extracted using the YOLOv8 object detection model.

The most valuable improvements of AI and machine learning are often tied to training data. However, under Recentive these improvements are unlikely to support the finding of patent eligibility.

Data Science Agent uses Anthropic PBC’s Claude large language model to dissect machine learning projects into logical steps and deliver executable pipeline components that can be run inside ...

The device continuously recorded inhalation metrics including peak inspiratory flow (PIF), inhalation volume and duration, time to PIF, and timestamps. Researchers used this high-resolution data ...

In notice this week, DIU said it is looking for AI and machine learning tools that can speed up data processing at the Navy’s Marine Operations Centers.