A research paper by scientists at the Beijing Institute of Technology proposed a brain–machine hybrid intelligent system for sound target detection (STD), featuring a neuroanatomy-informed EEG decoding network and an adaptive confidence-based fusion strategy to address poor robustness and limited generalization of existing methods under low signal-to-noise ratio (SNR) conditions or with unseen target classes.

Harvard engineers, as part of Project CETI, have built an open-source bio-logger that adheres to sperm whales and records high-fidelity, multi-channel audio plus rich behavioral and environmental data. The data are tailored for machine learning analysis so that researchers can better understand whale communication.

New findings shed light on the mechanisms behind a natural purification process and identify the key microbial “teammates” that enable mosses to remove metals from water. A promising moss species was discovered in abandoned mine sites where few other plants survive. Upcoming tests will evaluate their performance in iron-rich forest drained ditches. 

Researchers at the University of Pennsylvania and University of Michigan have created the world’s smallest fully programmable, autonomous robots: microscopic swimming machines that can independently sense and respond to their surroundings, operate for months and cost just a penny each. Barely visible to the naked eye, the robots are smaller than grains of salt and could advance medicine, manufacturing and more.

To address the global environmental and climate crisis and advance the UN SDGs, it is essential to fully leverage Earth observations (EO) through the integration of atmospheric, hydrological, cryospheric, lithospheric, ecological, and socio-economic data. Based on discussions from the 2023 “Towards Global Earth Observatory” workshop, this paper highlights the fragmented nature of current EO and data repositories and emphasizes the need for a more coordinated global Ground-Based Earth Observatory (GGBEO). We summarize the status of key in-situ and ground-based remote sensing systems and outline the actions required to build an integrated GGBEO with interoperable data repositories, unified observation networks, and sustainable long-term support.