Picture this: a self-driving car smoothly navigating treacherous mountain roads with consecutive hairpin turns – a scenario that would challenge even the most experienced human drivers. This vision is now closer to reality, thanks to groundbreaking research that harnesses the power of artificial intelligence to tackle one of autonomous driving's most formidable challenges.

In a pioneering study that explores the intricate relationship between industrial output, coal consumption, and life expectancy, researchers are shedding light on the environmental and health dynamics in ASEAN nations. The study, titled "Coal Consumption as a Moderator in the Link Between Industrial Output and Life Expectancy in ASEAN Nations," is led by Prof. Abdul Rahim Ridzuan from the Institute for Big Data Analytics and Artificial Intelligence (IBDAAI) at Universiti Teknologi MARA in Shah Alam, Selangor, Malaysia, and the Centre for Economic Development and Policy (CEDP) at Universiti Malaysia Sabah in Kota Kinabalu, Sabah, Malaysia. This research offers valuable insights into how coal consumption influences both economic growth and public health in the region.

University of Texas at Dallas researchers have developed a micro imaging device that could be used with an endoscope to spot cancers at an earlier stage.

The technology uses LED lighting and hyperspectral imaging to capture near-infrared and ultraviolet wavelengths in addition to the visible light that a conventional camera registers. The Erik Jonsson School of Engineering and Computer Science researchers published a study describing their compact prototype in the May/June issue of the Journal of Medical Imaging.

Fruit ripening is a tightly regulated process influenced by genetic and epigenetic factors.