By using advanced machine learning, Carnegie Mellon researchers have created compact, yet highly accurate models to better understand the visual system, offering potential breakthroughs for neuroscience and artificial intelligence.

New Study shows: What crop advisors really want from AI tech and how precision ag producers will decide on AI adoption.

Research Highlights:

Discrete choice experiments quantify trade-offs in crop advisors’ preferred AI-DSS features.

Advisors favor simplicity and satellite inputs over ultra-accurate or precision-heavy AI-DSS.

AI attitudes moderate acceptance: techno-optimists are more open to data-intensive AI-DSS.

Implications: built trust, ensure cost transparency, and align AI-DSS with user autonomy to boost adoption.

Dennis Lal, an internationally recognized genomic scientist and health informatics leader, has been appointed as a professor with The University of Texas at Arlington and the new executive director of the Center for Innovation in Health Informatics (CIHI), where he will lead health care-scale informatics, precision health, and clinical AI initiatives.

The Korea Research Institute of Standards and Science (KRISS, President Lee Ho Seong) has developed a next-generation gas sensor technology that uses low-cost and safe LED light to precisely distinguish multiple hazardous gases. Compared with conventional sensors that operate at high temperatures, the new technology consumes significantly less power, offering greater cost efficiency while delivering broad applicability. It is expected to enhance gas safety across industrial settings as well as everyday environments.