Prescribed time reliable platooning control for connected autonomous vehicles using neural network adaptive estimator approach
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Devanathan, B., Selvaraj, P., Suyampulingam, A. et al. Sci Rep 15, 6,840 (2025). https://doi.org/10.1038/s41598-025-89887-0
Sabir, Z., Said, S.B., Al-Mdallal, Q. et al. Sci Rep 12, 22,607 (2022). https://doi.org/10.1038/s41598-022-26566-4
Brain creates summaries while reading.
Unlike artificial language models, which process long texts as a whole, the human brain creates a “summary” while reading, helping it understand what comes next.
In recent years, large language models (LLMs) like ChatGPT and Bard have revolutionized AI-driven text processing, enabling machines to generate text, translate languages, and analyze sentiment. These models are inspired by the human brain, but key differences remain.
A new Technion-Israel Institute of Technology study, published in Nature Communications, explores these differences by examining how the brain processes spoken texts. The research, led by Prof. Roi Reichart and Dr. Refael Tikochinski from the Faculty of Data and Decision Sciences. It was conducted as part of Dr. Tikochinski’s Ph.D., co-supervised by Prof. Reichart at Technion and Prof. Uri Hasson at Princeton University.
Reasoning about the physical world enables people to successfully interact with and manipulate their environment. In this Review, Hartshorne and Jing bridge findings from education, developmental psychology and cognitive science and discuss how best to reconcile these approaches going forward.
A newly identified part of a brain circuit mixes sensory information, memories, and emotions to tell whether things are familiar or new, and important or just “background noise.”
Led by researchers from NYU Langone Health, the work found that a circuit known to carry messages from a brain region that processes sensory information, the entorhinal cortex (EC), to the memory processing center in the hippocampus (HC) has a previously unrecognized pathway that carries messages directly back to the EC.
Publishing online Feb. 18 in Nature Neuroscience, the study results show that this direct feedback loop sends signals fast enough to instantly tag sights and sounds linked to certain objects and places as more important by considering them in the context of memories and emotions.
This quantum light manipulation breakthrough paves the way for unprecedented technologies.
Scientists from the University of Basel and the University of Sydney successfully manipulated and identified interacting packets of light energy, or photons, with unprecedented precision.
This breakthrough, published in Nature Physics, marks the first-ever observation of stimulated light emission at the single-photon level—a phenomenon first predicted by Albert Einstein in 1916.
By measuring the time delay between photon interactions, researchers demonstrated how photons could become entangled in a “two-photon bound state,” opening up new possibilities for quantum computing and enhanced measurement techniques.
This discovery has profound implications for photonic quantum computing and metrology, particularly in fields like biological microscopy, where high-intensity light can damage delicate samples. Dr. Sahand Mahmoodian, a leading researcher on the project, emphasized that harnessing quantum light could lead to more precise measurements with fewer photons. Meanwhile, tech companies like PsiQuantum and Xanadu are already exploring how this research could contribute to fault-tolerant quantum computing. As scientists refine their ability to manipulate quantum light, the door opens to a future of more powerful computing, ultra-sensitive sensors, and revolutionary advancements in technology.
Researchers have typically assumed that both LLVPs are similar to each other in nature, e.g. chemical composition and age, because seismic waves travel through them in similar ways. But a new study, co-authored by Dr. Paula Koelemeijer (Department of Earth Sciences, University of Oxford), has challenged this view by modelling the formation of the LLVPs through time.
By combining a model of mantle convection, including a reconstruction of how tectonic plates have moved over the Earth’s surface over the last billion years, the study has been able to show that the African LLVP consists of older and better mixed material than the Pacific LLVP, which contains 50% more and younger subducted oceanic crust (and therefore is more different to the surrounding mantle). The resulting differences in density could also explain why the African LLVP is more diffuse and taller than its Pacific counterpart.
Dark matter, though invisible, weaves a vast cosmic web that binds galaxies together. For the first time, astronomers have captured a sharp image of one of these filaments, stretching 3 million light-years through space.
Using the powerful MUSE
The Multi Unit Spectroscopic Explorer (MUSE) is a panoramic integral-field spectrograph on ESO’s Very Large Telescope in Chile. It operates in the visible wavelength range and helps astronomers reveal objects that cannot be found in imaging surveys.