MIT physicists have created a new and long-lasting magnetic state in a material, using only light. The results provide a new way to control and switch antiferromagnetic materials, which are of interest for their potential to advance information processing and memory chip technology. 

To address the increasing demand for continuous intravascular blood gas measurement, researchers have created a microscale all-fiber photoacoustic spectrometer that incorporates its sensing components into a single optical fiber that is just 125 micrometers thick. The spectrometer offers a minimally invasive solution for in vivo detection of trace gases inside blood vessels at parts-per-billion levels within milliseconds, featuring a reduced footprint for over two orders of magnitude compared to the bench-top spectroscopy systems.

BUFFALO, NY- December 18, 2024 – A new research paper was published in Aging (listed by MEDLINE/PubMed as “Aging (Albany NY)” and “Aging-US” by Web of Science) Volume 16, Issue 21 on November 22, 2024, entitled, “Anti-aging effect of extracellular vesicles from mesenchymal stromal cells on senescence-induced chondrocytes in osteoarthritis.”

In a paper published in the National Science Review, a team of Artificial Intelligence (AI) scholars comprehensively reviews the latest advancements of one the most cutting-edge research realms, Multimodal Large Language Models (MLLMs). The paper not only summarizes the essential components of MLLMs, including architecture, training, data, and evaluation, but also provides an in-depth discussion of relevant research topics, such as Multimodal Hallucinations, Multimodal In-context Learning, Multimodal Chain-of-Thought, and LLM-Aided Visual Reasoning.

Land use and land cover (LULC) analysis has become increasingly significant in environmental studies due to its direct impact on the environment. Changes in LULC affect the ecological and climatic balance, in addition to increase the terrain’s susceptibility to hazardous phenomena. However, one of the key challenges in analyzing LULC time series is the presence of classification errors, which can result in invalid transitions. Invalid transitions, which represent unlikely or impossible land cover changes in a given period, can lead to misinterpretations of causes or consequences of hazard events, especially in highly susceptible areas, such as mountainous regions.