The SWIFTT project invites forest professionals, researchers, and remote sensing experts to its upcoming webinar, “Leveraging AI Models for Insect Damage Detection in European Forests,” taking place online on 11 July 2025, from 14:00 to 15:00 CEST (Paris Time). 

Researchers comprehensively summarize existing multi-modal fusion technologies, detailing their technical specifics and applications in several key fields. Through in-depth analysis, the study highlights current technical bottlenecks and offers guiding recommendations for the future development of multi-modal research.

Artificial Intelligence (AI) impacts many industries and professions in different ways. A recent study looking at taxi drivers in Yokohama, Japan, shows that AI demand forecasting, which is unrelated to autonomous driving, can improve productivity in less-experienced drivers, helping close the skill gaps. This finding challenges the assumption that AI only favors high-skilled workers in technology-dependent industries.

Lynne McLandsborough has been named director of the University of Massachusetts Amherst’s Center for Agriculture, Food and the Environment (CAFE) and will also serve as assistant vice chancellor for research and engagement. She brings to her new roles 30 years of experience at UMass Amherst, where she bridged the academic and applied sciences and gained deep expertise in working with the commonwealth’s UMass Extension program, which reaches into every corner of agricultural life in Massachusetts.

Complex illnesses are not caused by one gene but groups of genes. The number of gene combinations is too enormous to analyze comprehensively. New AI model focuses on gene expression changes to identify key genes and their collective influence on disease.

A study in Science Advances that describes a new soft robotic system was co-led by Harvard Professor L. Mahadevan in collaboration with Professor Ho-Young Kim at Seoul National University. Their work paves new directions for future, low-power swarm robotics.

The new robots, called link-bots, are comprised of centimeter-scale, 3D-printed particles strung into V-shaped chains via notched links and are capable of coordinated, life-like movements without any embedded power or control systems.