Let's discuss why AI-powered data management is becoming essential in industrial automation and how organizations can build it successfully.

This study proposes a cross-species transcriptomic framework to predict vaccine reactogenicity, with implications for preclinical vaccine safety assessment. The findings show that mouse muscle ...

6G visions include immersive extended reality, holographic communications, tactile internet applications, and large-scale digital twins. Supporting these services will demand fully autonomous network ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

A major next step for artificial intelligence (AI) and machine learning (ML) innovation is moving ML models from the cloud to the edge for real-time inferencing and decision-making applications in ...

The US DOE has set AI-driven challenges under the Genesis Mission to advance nuclear energy, fusion, cleanup, and national ...

A novel nanozyme aptasensor array achieves 100 % accuracy in classifying Staphylococcus aureus strains, enhancing rapid ...

A team of physicists used ChatGPT to help crack a long-standing problem in quantum field theory, producing a new closed-form expression for single-minus gluon tree amplitudes that specialists had ...

WEIFANG, SHANDONG, CHINA, February 7, 2026 /EINPresswire.com/ -- Global industrial energy markets are currently ...

TORONTO, Feb. 19, 2026 /CNW/ - i-80 GOLD CORP. (TSX: IAU) (NYSE American: IAUX) ("i-80 Gold" or the "Company") reports its operating and financial ...

Artificial intelligence systems are only as powerful as the data they are trained on. High-quality labeled datasets determine whether a model performs with precision or fails in production.

Feb. 13 marked the first anniversary of UNC Charlotte becoming a Research 1 (R1) institution, which has brought many changes ...