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Here, we report a programmable quantum photonic platform operating on a nanosatellite, processing two photons in a six-mode universal integrated circuit.

Together, these results show that an AI research agent can improve its own research efficiency through recursive self-improvement, and that these gains transfer to tasks and domains the loop never encountered.

Our findings identify rising waters as a widespread, underappreciated driver of forest die-off that can extend far inland, underscoring the need to reassess the impacts of climate change on the functioning, demography, and carbon-methane budgets amongst the world's most carbon-rich forests as seas rise and hydroclimate shifts globally.

Here we establish generative programming of mammalian cells through a neuromorphic framework that compiles desired behavior into DNA.

We impute upper and lower bounds for the value of unpaid breastfeeding over five centuries in England to better understand its economic role over the course of economic development.

Here, we report Exo-LAMP, an extraction-free isothermal assay for detecting placental exosomal KISS1 mRNA, representing the first isothermal approach for exosomal mRNA detection.

Herein, we introduce an AI-driven workflow in which an AI agent performs multi-step, multi-day quantum transport measurements end-to-end.

Here we show that two mutually interacting autocatalytic networks can form alternative stable chemical states, maintained by weak cross-catalysis and switched by environmental change when enclosed in reproducing compartments.

This work presents the first application of MLR-assisted RGB analysis for quantitative luminescence pressure sensing.

Combining numerical simulations with exact analytical theory, we classify the densest configurations into two continuous, mathematically tractable families: chiral Tetra Helices and achiral Dimer Chains.

Herein, we demonstrate that colossal polarization occurs by long-range ion displacement even in the nonpolar proton conductor Na2MnN(CN)4·3.25H2O (1·H2O).

This paper introduces Dr-LiSA, a first-of-its-kind direct method for localizing 2D spinning radar intensity measurements in $SE(3)$ against 3D lidar maps.

Overall, the proposed PBS framework provides a first quantitative basis for solute transport modeling in the LS and several concrete application scenarios for MC in this underexplored domain.

Recovering the equations that govern remodeling, rather than tracking its instantaneous state, therefore provides a foundation for clinical models built from the sparse records that routine imaging surveillance actually produces.

Here, we introduce TangleDiff, a deep learning framework for the de novo design of homodimeric entangled proteins with programmable features.

We introduce Lara, a machine-checkable language and protocol for checking and revising support for research claims.

Within Rachel, a general-purpose LLM coordinated successive chemical choices and revised its strategy as earlier decisions reshaped the remaining problems.

Air-cooled data centers halve total water consumption relative to evaporative cooling, but increase electricity demand and raise indirect water consumption by one-third, shifting the water footprint from the facility to generators.

Fitted to a new dataset of 940 matches, the model identifies the directly relegated club from the ninth round, before the league table does, predicts the play-out field better than the table, and shows the play-out itself to be close to a coin toss.

At heliocentric distances of approximately 10 solar radii, with speed mostly above 400 km/s, this interval is a first example of "polar coronal hole-like (PCH-l) fast" solar wind observed in the sub-Alfv\'enic solar corona.