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#interstellar

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It's not that Krista didn't believe in ghosts. But unlike in stories, ghosts didn't appear and wail and tell you all about their problems. That would be too convenient.

For all she knew, some of the Axxians were trapped in hyperspace and trying to contact her, tapping in Morse code, trying to communicate some complicated, higher dimensional math that would set them free.

"Pshaw," she said. That sounded stupid, even by the standards of spacer legends.

Interstellar v0.9.1 update: post and comment gestures, basic haptic feedback, redo post and comment overflow menu, several fixes, relicense to AGPL

Interstellar v0.9.1 update: post and comment gestures, basic... #interstellar

github.com/jwr1/interstellar/r

Features

Swipe actions (gestures) for feed posts and comments (enable in Feed Action settings); by @olorin99 in #133.
Add local feed filter (for Lemmy & PieFed only).
Add haptic feedback to swipe ...
GitHubRelease v0.9.1 · jwr1/interstellarFeatures Swipe actions (gestures) for feed posts and comments (enable in Feed Action settings); by @olorin99 in #133. Add local feed filter (for Lemmy & PieFed only). Add haptic feedback to swipe ...

#Interstellar est un film vraiment passionnant. On y parle beaucoup de physique, de relativité, du temps... Et on a beaucoup parlé de ce film à ce sujet.
Mais la quête principale est celle d'une planète habitable, donc au cœur des thématiques de l' #exobiologie. Pour Allociné, j'ai essayé de porter un regard exobiologique sur les 3 planètes visitées au cours du film...

Voici le résultat : youtube.com/watch?v=ODTY-ho6Ib

Interstellar v0.9.0 update: PieFed support, AUR support, Lemmy notification and DM support, new view for combined threads and microblogs, Mbin top sort timeframes

Interstellar v0.9.0 update: PieFed support, AUR support,... #interstellar

github.com/jwr1/interstellar/r

New

Update navigation handling so pages keep state when switching between them; by @olorin99 in #118.
Add support for listing private messages in PieFed and Lemmy; by @olorin99 and @jwr1.
Interste...
GitHubRelease v0.9.0 · jwr1/interstellarNew Update navigation handling so pages keep state when switching between them; by @olorin99 in #118. Add support for listing private messages in PieFed and Lemmy; by @olorin99 and @jwr1. Interste...

1/2 Notes on #UAP Discussions : From the standpoint of #Physics #Interstellar travel via physical craft with reasonable transit times for both craft and passengers invokes a relativistic firewall involving craft mass and required energy densities at significant fractions of the speed of light.Advanced knowledge of #Spacetime dynamics and topologies are one way through that firewall. Two stages of development invoke what are locally or globally #Interdimensional technologies for warping-

Neural-Rendezvous - Provably Robust Guidance and Control to Encounter Interstellar Objects / Information-Optimal Multi-Spacecraft Positioning for Interstellar Object Exploration: arxiv.org/abs/2208.04883 / arxiv.org/abs/2411.09110 -> Concept for #interstellar object encounters developed, then simulated using a spacecraft swarm: aerospace.illinois.edu/news/74

arXiv logo
arXiv.orgNeural-Rendezvous: Provably Robust Guidance and Control to Encounter Interstellar ObjectsInterstellar objects (ISOs) are likely representatives of primitive materials invaluable in understanding exoplanetary star systems. Due to their poorly constrained orbits with generally high inclinations and relative velocities, however, exploring ISOs with conventional human-in-the-loop approaches is significantly challenging. This paper presents Neural-Rendezvous -- a deep learning-based guidance and control framework for encountering fast-moving objects, including ISOs, robustly, accurately, and autonomously in real time. It uses pointwise minimum norm tracking control on top of a guidance policy modeled by a spectrally-normalized deep neural network, where its hyperparameters are tuned with a loss function directly penalizing the MPC state trajectory tracking error. We show that Neural-Rendezvous provides a high probability exponential bound on the expected spacecraft delivery error, the proof of which leverages stochastic incremental stability analysis. In particular, it is used to construct a non-negative function with a supermartingale property, explicitly accounting for the ISO state uncertainty and the local nature of nonlinear state estimation guarantees. In numerical simulations, Neural-Rendezvous is demonstrated to satisfy the expected error bound for 100 ISO candidates. This performance is also empirically validated using our spacecraft simulator and in high-conflict and distributed UAV swarm reconfiguration with up to 20 UAVs.