AI Combines Satellite Data to Improve Oil Spill Detection ...

The new capability supports tables, figures, and diagrams with spatial metadata, making documents searchable and actionable in AI workflows.

When Meta began scaling its large language models, it quickly became clear that the company’s existing AI infrastructure ...

Generative AI is moving from hype to practical impact in energy, unlocking efficiency and sustainability gains for firms that ...

Blending DDI with AI lets your network see, think and fight back faster — closing gaps before attackers even get in.

The hybrid model is emerging as the framework for trustworthy AI in test analytics. It retains traceability and supports ...

The rapid development and integration of artificial intelligence (AI), including predictive, generative, and emerging agentic ...

Be it creating better chips, exploring brain-computer connections, building smarter perception systems or redesigning ...

High data quality is crucial for reliable BI system insights. Yet, real-world datasets, like Historical Air Quality, often face issues such as missing values an ...

A research team has developed a cutting-edge deep learning framework, TM-WSNet, that dramatically improves the accuracy of rubber tree identification and measurement in dense plantation environments.

The integration of AI and IoT has transformed farming into a dynamic data ecosystem, where predictive insights replace reactive management. Yet, as the authors observe, progress has been uneven across ...

Adopting the proper countermeasures to protect and maintain trust in health care data will require additional collaboration and testing with health care professionals and policy makers.