A "fine-tuned" artificial intelligence (AI) tool shows promise for objective evaluation of patients with facial palsy, ...

Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve ...

Improvement of predictability from the ASTRAL score was small, especially considering the added burden of entering many variables for the machine learning model. However, with the improvement of ...

Contributor Content In 2025, integrating artificial intelligence (AI) and machine learning (ML) into cybersecurity is no longer a futuristic ideal but a functional reality. As cyberattacks grow more ...

Machine learning expert Abylaikhan Azamatov shows how local solutions create global impact through adaptive AI implementation In today’s rapidly evolving technological landscape, artificial ...

Laser-based metal processing enables the automated and precise production of complex components, whether for the automotive industry or for medicine. However, conventional methods require time- and ...

The global automated nucleic acid extraction systems market is set to experience significant growth, driven by the rising demand for efficient diagnostic solutions. From an estimated USD 4,643.3 ...

Aims Automated machine learning (AutoML) is a novel tool in artificial intelligence (AI). This study assessed the discriminative performance of AutoML in differentiating retinal vein occlusion (RVO), ...

Recently, reinforcement learning (RL) algorithms have been demonstrated successfully for the analog circuit design optimization. However, a robust and highly efficient RL method to design analog ...