Semiconductor nanolasers are emerging as key components for next-generation optical systems requiring ultra-low power and compact design. Traditional lasers face limitations at the nanoscale, prompting researchers to explore innovative nanolaser architectures. A recent study outlines breakthroughs in photonic crystal nanolasers, deep subwavelength cavities, and Fano lasers. These technologies enable enhanced light confinement and energy efficiency, making them ideal for applications in on-chip communication, neuromorphic computing, and hybrid optical-electronic systems.

Scientists have developed a new machine learning approach that accurately predicted critical and difficult-to-compute properties of molten salts, materials with diverse nuclear energy applications. 

A research team at the University of Barcelona has shown how artificial intelligence (AI) models can detect personality traits from written texts, and for the first time has managed to analyse in detail how these systems make decisions. These results, published in the journal PLOs One, open up new perspectives for understanding how personality manifests itself in natural language and also how more transparent and reliable automatic detection tools can be built.

Liquid biopsy (LB) represents a promising strategy for the early diagnosis and treatment of lung cancer. However, relying solely on single-biomarker immunohistochemistry for predictive purposes has shown limited efficacy, often leading to suboptimal responses in certain patients. LB provides a complementary or alternative approach to immunohistochemistry by aiding in the identification of patients better suited for immunotherapy, thereby improving treatment precision. This review highlights key LB targets, including circulating tumor cells, exosomes, and small protein molecules, and explores the predictive and prognostic value of LB in immunotherapy for lung cancer and other tumors. These biomarkers play complex and multifaceted roles in liquid biopsies. Consequently, researchers have developed numerous targeted detection methods to study and identify key factors among multiple biomarkers in lung cancer and other tumor diseases. In addition, the limitations and future directions of LB are examined, aiming to advance its clinical application and support the development of personalized and precise immunotherapy. The integration of LB with artificial intelligence holds significant clinical potential for guiding immunotherapy and advancing precision medicine in lung cancer and other tumors.

Detecting lies and deception has always challenged scientists and authorities, but AI-based lie detection devices may have the potential to rise to the challenge.