In a National Institutes of Health (NIH)-funded study, researchers developed a cancer assessment tool that can identify high-risk patients and the tumor cells linked to that risk. The model, called scSurvival, uses a machine learning framework designed to analyze large-scale data at single-cell resolution.

Conservation tillage practices, such as no-till and reduced till, are critical for sustainable agriculture, and they are gradually becoming popular with farmers across the Midwest. Monitoring tillage usage can provide insights into soil health, water levels, and nutrient loss, as well as guide management and policy decisions. A University of Illinois Urbana-Champaign research team has developed a dynamic framework that uses satellite imagery and machine learning to detect tillage practices over large areas and long time periods. The team discusses their methodology and findings in a new paper.

In the book, “Priority Technologies,” MIT faculty analyze how the U.S. can move ahead in multiple key industrial sectors — semiconductors, biotechnology, critical minerals, drones, quantum computing, and advanced manufacturing — to drive the economy and support national security.

AI systems ‘can learn to seek revenge’ because they are able to grasp reciprocating verbal violence when exposed to conflict, new research from Lancaster University shows.

In short, AI can give as good as it gets and, eventually, go one step further.

Published in the journal of Pragmatics, the study ‘Can ChatGPT reciprocate impoliteness? The Al moral dilemma’, is authored by Dr Vittorio Tantucci and Prof Jonathan Culpeper, both from Lancaster University.