Self-regulation is key to lowering overconfidence in Artificial Intelligence
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Updates every hour. Last Updated: 30-Oct-2026 10:16 ET (30-Oct-2026 14:16 GMT/UTC)
The ESCUTIC group of the EHU-University of the Basque Country points out that overreliance on tools such as ChatGPT in learning largely depends on each student’s ability to organise him-/herself, work hard and reflect. When key skills such as perseverance, decision-making and learning from mistakes are in place, AI can become a useful aid without replacing independent thinking.
Core-collapse supernovae are thought to be powered by neutrino-driven energy transport. Now, researchers in Japan have shown that neutrino fast flavor conversion can either enhance or suppress supernova explosions depending on the progenitor star. Using advanced multiangle neutrino radiation hydrodynamics simulations, the team demonstrated that the mass accretion rate is the key factor governing this bifurcated behavior, offering new insight into the evolution and death of massive stars.
Every year, marine plants — from microscopic phytoplankton to seaweeds — produce vast quantities of a sulfur compound called dimethylsulfoniopropionate, or DMSP. When bacteria in the water and sediment break DMSP down, they release dimethylsulfide (DMS), a gas that drifts into the atmosphere and helps form clouds by seeding cloud condensation nuclei — making it one of the most climate-relevant gases produced by ocean life. Yet despite decades of research on this process in open-ocean and temperate waters, tropical estuaries have been largely overlooked. The Cochin Estuary (CE) in Kerala, southwest India, is one of the most biologically productive and heavily used coastal waterways in the country — fed by six major rivers, shaped by the monsoon, and bordered by industrial activity. A research team led by Dr. Dibu Divakaran and Dr. Doniya Elze Mathew, from the Department of Chemical Oceanography, Cochin University of Science and Technology (CUSAT), Kochi, India, set out to fill this knowledge gap by conducting the first-ever study of DMSP concentrations and the bacteria that degrade it along the entire length of the Cochin Estuary.
The UJI Altadia Chair in Ceramic Knowledge has presented the first volume of the Enciclopedia sobre Tecnología Cerámica (Encyclopaedia of Ceramic Technology), a work that compiles the scientific foundations underpinning the current manufacture of white ceramic products and provides an in-depth analysis of the processes and behaviour of the materials used in floor and wall tiles, earthenware and porcelain.
This first volume, published by Publicacions de la Universitat Jaume I as part of the “Universitas” collection, has been authored by José Luis Amorós Álbaro, one of Spain’s leading academic and technical experts in ceramic technology, particularly in white ceramics manufacturing processes, together with Encarna Blasco Roca, a highly respected researcher in the field. Both have developed much of their professional careers at the Institute of Ceramic Technology (ITC-AICE) and the Universitat Jaume I, combining research, teaching and technology transfer within the ceramic tile industry.
Entitled Fundamentos del proceso de fabricación de materiales de cerámica blanca (Fundamentals of the Manufacturing Process of White Ceramic Materials), the publication provides an updated synthesis of the scientific and technological foundations of the processing of these materials. The work organises existing knowledge in the field and serves as a valuable resource for understanding product design, process development and quality improvement in the ceramic industry.
Beyond its academic and technological significance, the publication highlights the strong scientific foundations on which Castelló’s ceramic industry is built, its high added value and its contribution to innovation and sustainability within the sector, factors that directly enhance the competitiveness of the region’s industrial fabric.
A new study in Science Bulletin presents DVSTP, a deep learning system that integrates pathology images with spatial transcriptomics and proteomics to map intra-tumor heterogeneity. DVSTP predicts molecular profiles from routine pathology slides, making spatial multi-omics more accessible. Whole–tumor 3D reconstruction reveals that SRSF6 drives immune exclusion and is associated with poor clinical outcomes.
Large language models and autonomous agents have advanced rapidly, showing broad promise in medical imaging analysis, clinical diagnosis, and treatment planning. However, most existing medical AI systems still rely primarily on pre-trained knowledge and fixed workflows, making it difficult to learn continuously from long-term clinical feedback, patient outcomes, and prior treatment experience. This "static AI" architecture limits their value in complex real-world clinical settings.
To address this bottleneck, a team led by Dr. Lian Zhang from the First Hospital of Hebei Medical University, in collaboration with domestic and international research partners, has proposed VIBEMed, which is a self-evolving multi-agent framework for clinical decision support designed to enable dynamic learning and safe, traceable system evolution.
Researchers have developed a facile water-based synthetic route for constructing fused azole–pyrimidine energetic materials, producing compounds with high thermal stability, strong detonation performance, and low mechanical sensitivity. The study demonstrates how eco-friendly aqueous synthesis can simultaneously improve safety, thermal resistance, and energetic performance in next-generation heat-resistant explosives.
Scientists from Nanyang Technological University, Singapore (NTU Singapore) have developed a new method to recycle mixed plastic packaging without using harmful chemical solvents – an approach that could make one of the world's most difficult waste streams significantly easier to handle.