Archived Intelligence
Researchers are launching a trial to see if prepping the brain with magnetic pulses can make electroconvulsive therapy more effective and less taxing for patients with severe depression.
A comprehensive review examines how we trap industrial CO2, comparing methods that strip carbon before burning against those that extract it from exhaust fumes. While the technology is essential for meeting climate targets, the study highlights that high costs, energy demands and storage risks remain significant roadblocks.
Researchers have engineered CytoTape, a genetically encoded protein assembly that functions as a cellular black box, recording molecular history for up to three weeks. By converting chemical signals into a physical protein timeline, this tool allows for the retrospective analysis of neural circuits and complex cellular decision-making.
Researchers propose using machine learning to bypass the slow, resource-heavy process of discovering green 2D catalysts, effectively speeding up the search for sustainable materials.
We deconstruct how AI generates text by examining the Transformer architecture and scaling laws. The piece explains the transition from raw data processing to human-guided refinement via RLHF and the evolution of knowledge integration through RAG.
Researchers have developed a memory resistor that uses salt water to mimic the brain's synapses. By utilizing a phenomenon called charge inversion, the device remembers its history, opening new possibilities for computers that interface directly with biology.
A clinical trial demonstrates that effective magnetic stimulation does not merely suppress symptoms but physically shifts the functional location of brain networks. Patients whose neural targets migrated the most showed the greatest recovery, highlighting the brain's evolutionary capacity for physical adaptation.
Researchers have established a highly efficient gene-editing pipeline for insect Sf9 cells, achieving a 68% knockout rate. By deleting the cell-death gene Sf-Dronc, they created cell lines that survive viral infection longer and produce over double the amount of influenza virus-like particles.
Researchers have engineered a wafer-scale manufacturing process for micro-electro-mechanical systems (MEMS) that integrates nanomaterials before structuring the device. By utilising an HfO2 passivation layer, the method allows for precise patterning of palladium-tin oxide films on 8-inch wafers, overcoming previous scalability limits for chemical sensors.
New analysis using autonomous Argo floats reveals that low-pressure storms in the Southern Ocean drive significant releases of greenhouse gases. Accounting for these cyclones increases the region's calculated nitrous oxide flux by 88%.
Researchers are moving beyond spatially structured materials to explore systems that change their physical properties in time. This approach allows for the creation of dynamic media with emergent behaviours that have no equivalent in static materials, though significant modelling challenges remain.
A comprehensive review examines green catalytic technologies designed to convert polyester waste into high-value feedstocks. It argues that advanced chemical recycling and bio-based synthesis offer a viable path toward a circular, low-carbon economy.
New research reveals that the algicidal bacterium Kordia algicida alters plankton communities and ocean chemistry more aggressively than climate stressors. By releasing specific metabolites, this microbial predator dictates the fate of algal blooms regardless of temperature.
Researchers developed an air-liquid-solid triphase system to bypass oxygen solubility limits in hydrogen peroxide production. By pairing this architecture with Au93Pt7-TiO2 nanocatalysts, the study achieved a five-fold increase in production rates compared to conventional diphase methods.
Researchers have developed 'xeno-learning', a method allowing algorithms trained on animal data to interpret human tissue pathologies accurately. By bridging the species gap, this approach addresses the critical scarcity of medical imaging data.