A research team has developed a novel AI model, ILCD, and a supporting dataset, CDwPK-VQA, to help early diagnose crop diseases.

Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature ...

NXP Semiconductors emerged as the winner in the Best AI and Edge Computing Solution category at the 2025 Sensors Converge ...

Research broadly focuses on In-Sensor Computing, In-Memory Computing, Neuromorphic Computing, Embedded Machine Learning, Machine Learning for Smart Healthcare, and Efficient Multi-Modal Foundation ...

In Recentive, the Federal Circuit acknowledged the growing significance of AI and machine learning and emphasized that its holding is limited to generic machine learning applications.

Artificial intelligence startup OpenEvidence inked a multi-year content agreement with the JAMA Network to use content from 13 medical journals to inform answers on its platform. | Artificial ...

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 ...

We explored whether machine learning integrating multi-modal data could predict outcomes in advanced pancreatic cancer. Methods: We developed and evaluated machine learning models predicting disease ...

The integration of artificial intelligence (AI) and machine learning (ML) in oncology clinical trials is rapidly evolving alongside the broader field. For example, AI-driven adaptive trial designs may ...

Hardware Graphics Cards AMD just gave us our first glimpse of FSR 4's 'Redstone' update, with a host of machine learning-based improvements News By Andy Edser published 21 May 2025 ...

Typical Azure Machine Learning Project Lifecycle (source: Microsoft). At the upcoming Visual Studio Live! @ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will ...