Jeonbuk National University researchers develop clustering-based framework for water level forecasting
Peer-Reviewed Publication
This month, we’re focusing on artificial intelligence (AI), a topic that continues to capture attention everywhere. Here, you’ll find the latest research news, insights, and discoveries shaping how AI is being developed and used across the world.
Updates every hour. Last Updated: 14-May-2026 14:16 ET (14-May-2026 18:16 GMT/UTC)
Scientists have uncovered a powerful strategy that the brain uses to coordinate chemical signaling. In a new study, researchers found that in the striatum, a brain region central to learning and moving, one chemical signaling system can effectively seize control of another, promoting the coordinated release of both. Specifically, they showed that a brain chemical called “acetylcholine”, which rises and falls to signal important behavioral events, can directly trigger the release of serotonin, a neurotransmitter long linked to mood and psychiatric disorders. What’s more, the researchers showed that because of this strong link, changes in acetylcholine signaling in disease states can lead to parallel changes in serotonin levels. Given that drugs targeting the serotonin system are the first line treatment for many psychiatric conditions, such as Obsessive-Compulsive Disorder and depression, these findings offer a new perspective on the origins of chemical imbalances that underly numerous debilitating neurological and psychiatric disorders.
A study led by the University of Oxford has identified a new type of planet beyond our Solar System – one that stores large amounts of sulphur deep within a permanent ocean of magma. The findings have been published today (16 March) in Nature Astronomy.
A new study is challenging one of neuroscience’s most enduring ideas: that the brain’s reward system exists to make us feel good. Instead, researchers argue that it is built to optimize energy. Dopamine and opioids, long cast as the chemistry of pleasure, do not function as feel-good messengers but as physiological agents that optimize the body’s metabolic budget. In this view, motivation arises from rising physiological needs and reinforcement is the gain when those needs are resolved. The theory fundamentally reframes reinforcement learning. Rather than viewing reward as the pursuit of pleasurable outcomes, it proposes that learning is driven by metabolic optimization, or, the brain’s effort to minimize energetic costs and maximize gains. Within this framework, dopamine-and opioid-related processes such as habit formation, addiction, music and even social bonding are understood as expressions of a core biological principle: behaviors are reinforced when they improve the efficiency of the body’s energy regulation. In turn, dopamine-and opioid-related psychopathologies are reframed as conditions in which the brain’s energy-management system is no longer operating optimally.
Materials with nearly identical atomic structures can exhibit strikingly different properties, a puzzle in glass physics. According to the researchers, from China and Denmark, the key lies not in geometry but in chemical-bonding heterogeneity. Deep-learning simulations and bond-order analysis reveal how electronic interaction variations regulate atomic mobility and β relaxation in Pd-based metallic glasses, establishing bonding heterogeneity as a fundamental driver of structure–relaxation coupling.
Inspired by Pavlov’s classical conditioning, researchers propose a bio-inspired optical neural network trained via associative learning. Using a dual-color photoresist, sequential UV and visible light exposure encodes memory directly into the material’s fluorescence response, enabling in-situ, computation-free training for pattern recognition—bypassing conventional backpropagation and offering a scalable route to low-cost, edge-compatible photonic AI hardware.