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California’s Primary Election: What to Watch
Election workers sort ballots at Contra Costa County’s election operations facility in Martinez, Calif.
The Cosmological Hart-Tipler Conjecture
Announce Type: cross Abstract: Self-reproducing automata, so-called von Neumann machines, have been repeatedly estimated to be capable of traversing the Galaxy many times given its age. Our mere existence thus seems to exclude an aggressive variant of such a probe having ever been launched in the Milky Way. The Hart-Tipler conjecture considers this to represent contra-positive evidence to the hypothesis that other extra-terrestrial technological entities have emerged in our galaxy.
A thalamus–brainstem attractor network drives history-biased decisions
Abstract Natural environments often change gradually, making it adaptive to bias decisions on the basis of the recent past — a phenomenon known as serial dependence1,2,3. Large-scale recordings during behaviour have identified that serial dependence is a common motif for decision-making, with neural representations of past experiences found throughout the brain4,5,6,7,8,9,10,11. However, it remains unclear whether this bias arises from dedicated neural circuits with history-specific...
Anti-symmetric Multimode Waveguide Grating-Assisted Narrowband MZI for Programmable Spectral Shaping Units
Announce Type: new Abstract: We present a narrowband integrated Mach-Zehnder interferometer (MZI) capable of precise transmission control within a targeted wavelength band while maintaining out-of-band transparency. This functionality enables its use as a fundamental building block for fully programmable on-chip spectral shaping. The device is implemented on a novel dual-mode (TE0/ TE1) transmission platform, where anti-symmetric multimode waveguide Bragg gratings (AM-WBGs) and asymmetric...
Forecasting Political News Engagement on Social Media
arXiv:2606.04293v1 Announce Type: new Abstract: Understanding how political news consumption changes over time can provide insights into issues such as hyperpartisanship, filter bubbles, and misinformation. To investigate long-term trends of news consumption, we curate a collection of over 60M tweets from politically engaged users over seven years, annotating ~10% with mentions of news outlets and their political leaning. We then train a neural network to forecast the political lean of news...