FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.

Sweet potato is a globally important food crop with rich nutritional value, widely used in food processing, feed production, and the pharmaceutical industry. Hainan Province in China has a history of sweet potato cultivation spanning over 300 years and has long been one of the major sweet potato-producing areas in southern China.

As the global population continues to grow, climate change intensifies, and agricultural resources become increasingly scarce, traditional agricultural production models are facing unprecedented challenges. It is predicted that by 2050, global food production will need to increase by 70% to meet demand. Against this backdrop, “Agriculture 4.0” has gradually emerged, with embedded technologies such as the Internet of Things (IoT), artificial intelligence (AI), unmanned aerial vehicles (UAVs), and robotics widely applied in precision agriculture to improve production efficiency and sustainability.

In the field of modern agricultural machinery, pneumatic conveying seed-discharge systems have been widely adopted due to their compact size, high seed-discharge efficiency, and strong adaptability, which are particularly aligned with the current development trend of high-speed mechanized operations.

Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and brand-new LLM-based hybrids, revealing that hybrids give best-in-class routes in record time.

Meet ncRNA2MetS v2.0, the largest experimentally verified repository linking 1,505 ncRNAs to metabolic syndrome and its five core disorders, offered through an intuitive eight-module web portal.

Researchers introduce a group-driven initialization that fuses search history with graph modularity, boosting state-of-the-art local solvers for k-quasi-clique and k-plex without altering their search routines.

Milan, 13^th January 2025  - The Politecnico di Milano has created the first integrated and fully tunable device based on spin waves, opening up new possibilities for the telecommunications of the future, far beyond current 5G and 6G standards. The study, published in the journal Advanced Materials, was conducted by a research group led by Riccardo Bertacco of the Department of Physics of the Politecnico di Milano, in collaboration with Philipp Pirro of Rheinland-Pfälzische Technische Universität and Silvia Tacchi of Istituto Officina dei Materiali - CNR-IOM.