Just published is the third new study showing that TM is highly effective in reducing stress in a wide array of populations. This meta-analysis included 15 studies with over 1,200 participants from military and civilian backgrounds. Using rigorous meta-analytic methods, the study found a large effect size of 1.01 for TM compared to control groups. An effect size over 0.80 is  considered significant.  

Researchers have developed a noninvasive method to detect anemia using grayscale photos of the eye’s conjunctiva, taken with standard smartphones. By applying machine learning to spatial and textural features extracted from over 12,000 photos of 565 children aged 5 to 15, the study found strong associations between these features and anemia status. Unlike other approaches, this method does not rely on color analysis or specialized equipment, making it practical for use in low-resource settings. The findings suggest a scalable, affordable tool for anemia screening in children, especially in areas with limited access to laboratory testing.

A groundbreaking integrated encryption and communication (IEAC) framework, enabled by end-to-end deep learning, has achieved a record-breaking single-channel secure transmission rate of 1 Terabit per second (Tb/s) over a 1,200-km optical fibre link. Published in National Science Review, this innovation optimizes mutual information for legal users while minimizing leakage to eavesdroppers, offering a scalable solution for high-speed, secure data transmission in the era of big data and AI.