Tootfinder

Blue Jays Acquire Joel Kuhnel
#MLB #Baseball #MLBTradeRumors

This is a great article to read by @… in response to @… blog post. I have linked both below for your viewing pleasure.

🔊 Auf radioeins läuft...
Kollektiv Turmstrasse feat. Joel Stewart:
🎵 When The Lights Go Lower
#NowPlaying #KollektivTurmstrasse #JoelStewart
https://open.spotify.com/track/0KuVHr9kyw0Z2gBv5gwNH1
https://kollektivturmstrassemusic.bandcamp.com/track/when-the-lights-go-lower-feat-joel-stewart

🔊 #NowPlaying on BBCRadio2's #PickOfThePops
Billy Joel:
🎵 An Innocent Man
#BillyJoel
https://open.spotify.com/track/1Gg14U26oq94uWcG7khccX
https://infinitearchitectureii.bandcamp.com/track/billy-joel-an-innoscent-man

A Safety-Critical Framework for UGVs in Complex Environments: A Data-Driven Discrepancy-Aware Approach
Skylar X. Wei, Lu Gan, Joel W. Burdick
https://arxiv.org/abs/2403.03215

A Safety-Critical Framework for UGVs in Complex Environments: A Data-Driven Discrepancy-Aware Approach
This work presents a novel data-driven multi-layered planning and control framework for the safe navigation of a class of unmanned ground vehicles (UGVs) in the presence of unknown stationary obstacles and additive modeling uncertainties. The foundation of this framework is a novel robust model predictive planner, designed to generate optimal collision-free trajectories given an occupancy grid map, and a paired ancillary controller, augmented to provide robustness against model uncertainties ex…

🔊 Auf radioeins läuft...
Kollektiv Turmstrasse feat. Joel Stewart:
🎵 When The Lights Go Lower
#NowPlaying #KollektivTurmstrasse #JoelStewart
https://open.spotify.com/track/0KuVHr9kyw0Z2gBv5gwNH1
https://kollektivturmstrassemusic.bandcamp.com/track/when-the-lights-go-lower-feat-joel-stewart

PVF (Parameter Vulnerability Factor): A Quantitative Metric Measuring AI Vulnerability and Resilience Against Parameter Corruptions
Xun Jiao, Fred Lin, Harish D. Dixit, Joel Coburn, Abhinav Pandey, Han Wang, Jianyu Huang, Venkat Ramesh, Wang Xu, Daniel Moore, Sriram Sankar
https://arxiv.org/abs/2405.01741

PVF (Parameter Vulnerability Factor): A Quantitative Metric Measuring AI Vulnerability and Resilience Against Parameter Corruptions
Reliability of AI systems is a fundamental concern for the successful deployment and widespread adoption of AI technologies. Unfortunately, the escalating complexity and heterogeneity of AI hardware systems make them inevitably and increasingly susceptible to hardware faults (e.g., bit flips) that can potentially corrupt model parameters. Given this challenge, this paper aims to answer a critical question: How likely is a parameter corruption to result in an incorrect model output? To systemati…

Precise Time-Domain Asteroseismology and a Revised Target List for TESS Solar-Like Oscillators
Daniel Hey, Daniel Huber, Joel Ong, Dennis Stello, Daniel Foreman-Mackey
https://arxiv.org/abs/2403.02489

Precise Time-Domain Asteroseismology and a Revised Target List for TESS Solar-Like Oscillators
The TESS mission has provided a wealth of asteroseismic data for solar-like oscillators. However, these data are subject to varying cadences, large gaps, and unequal sampling, which complicates analysis in the frequency domain. One solution is to model the oscillations in the time domain by treating them as stochastically damped simple harmonic oscillators through a linear combination of Gaussian Process kernels. We demonstrate this method on the well-studied subgiant star nu Indi and a sample …

🔊 #NowPlaying on BBCRadio1:
#Radio1Anthems
- with Joel Mitchell
Joel Mitchell with big anthems and tunes you haven't heard in ages.
Relisten now 👇
https://www.bbc.co.uk/programmes/m001wmsc

🔊 #NowPlaying on BBCRadio2's #OwainWynEvans
Billy Joel:
🎵 Turn The Lights Back On
#BillyJoel
https://open.spotify.com/track/1KTemUlHzS0SvVtTjY1NTw