Using social media may impair children’s attention
Peer-Reviewed Publication
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Updates every hour. Last Updated: 14-May-2026 12:15 ET (14-May-2026 16:15 GMT/UTC)
Children who spend a significant amount of time on social media tend to experience a gradual decline in their ability to concentrate. This is according to a comprehensive study from Karolinska Institutet, published in Pediatrics Open Science, where researchers followed more than 8,000 children from around age 10 through age 14.
An Osaka Metropolitan University researcher quantitatively evaluated the optimal approach for a tomato harvesting robot using image recognition and statistical analysis to maximize the success rate of fruit picking.
A global collaboration including Sunwoda, Chery, Nobel laureate M. Stanley Whittingham, Semitronix, the University of Delaware, and Advance Power, has proposed the "Integrated Battery Large Model," the first AI-driven paradigm covering the entire lithium-ion battery lifecycle. Published in National Science Open, the work outlines a new paradigm for intelligent battery design, manufacturing optimization, defect diagnosis, and lifecycle management through multi-modal AI and simulation synergy.
Artificial intelligence is reshaping brain modeling. This review introduces a unified framework where AI functions as a surrogate brain by integrating dynamical modeling, inverse problem solving, and model evaluation. Trained on neural data, surrogate brains can accurately predict large-scale brain activity and support system analysis, virtual experiments, and model-guided neurostimulation.