A recent study published in National Science Review has revealed new insights into the global riverine carbon cycle. This study constructed global maps of riverine dissolved organic carbon (DOC) concentration, along with its radiocarbon (Δ¹⁴C) and stable carbon isotope (δ¹³C) signatures, based on a comprehensive global database and machine learning approaches. It systematically elucidates the sources, spatial distribution, and age characteristics of riverine DOC, quantifies the contributions of different endmembers, and reveals how its age and origin are dynamically regulated by climate conditions, hydrological processes, and soil properties. The results show that soil carbon residence time plays a key role in determining the age of dissolved organic matter transported by global rivers. In particular, warming-induced permafrost thaw is accelerating the release of long-preserved “old carbon” into river systems. Once mobilized, this aged carbon can be transported downstream and participate in aquatic biogeochemical processes, potentially enhancing carbon cycle feedbacks to the climate system.

J. Craig Venter, the genomicist whose work redrew the architecture of modern biology, died on 29 April 2026 in San Diego at the age of 79, following complications from treatment of a recently diagnosed cancer. Brain Health, a new peer-reviewed journal launched today by Genomic Press, publishes in its inaugural issue a scientific tribute by Dr. Julio Licinio that foregrounds a part of Venter’s legacy that other obituaries have understandably treated as background: his earliest major methodological breakthrough emerged at the National Institute of Neurological Disorders and Stroke, where he pioneered the expressed sequence tag as a route to rapidly identifying brain-expressed genes. The tribute traces an arc from that neuroscience starting point through the first complete bacterial genome, the parallel pursuit of the human sequence, large-scale ocean metagenomics, and the construction of the first cell controlled by a chemically synthesized genome.

Modern communication networks must handle ever‑growing volumes of data, driven by cloud services, connected devices, and real‑time applications. At the same time, they face a critical constraint: keeping energy consumption as low as possible. Today, signal recovery and data processing rely mostly on electronic hardware—powerful, but energy‑intensive and increasingly limited by latency. 

To address these challenges, researchers in Roberto Morandotti’s laboratory at the Institut national de la recherche scientifique (INRS) have developed a new device that enables optical artificial intelligence, where data is processed using light rather than electronics, enabling high speed and low energy consumption.