Tootfinder

This https://arxiv.org/abs/2404.09153 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

BEATLE -- Self-Reconfigurable Aerial Robot: Design, Control and Experimental Validation
Modular self-reconfigurable robots (MSRRs) offer enhanced task flexibility by constructing various structures suitable for each task. However, conventional terrestrial MSRRs equipped with wheels face critical challenges, including limitations in the size of constructible structures and system robustness due to elevated wrench loads applied to each module. In this work, we introduce an Aerial MSRR (A-MSRR) system named BEATLE, capable of merging and separating in-flight. BEATLE can merge without…

Efficient Multiplayer Battle Game Optimizer for Adversarial Robust Neural Architecture Search
Rui Zhong, Yuefeng Xu, Chao Zhang, Jun Yu
https://arxiv.org/abs/2403.10100

Efficient Multiplayer Battle Game Optimizer for Adversarial Robust Neural Architecture Search
This paper introduces a novel metaheuristic algorithm, known as the efficient multiplayer battle game optimizer (EMBGO), specifically designed for addressing complex numerical optimization tasks. The motivation behind this research stems from the need to rectify identified shortcomings in the original MBGO, particularly in search operators during the movement phase, as revealed through ablation experiments. EMBGO mitigates these limitations by integrating the movement and battle phases to simpl…

#Tulsi #Gabbard Tells Donald Trump Jr. How Badly She Wants To Be His Dad's Running Mate
“I’d be honored to actually be in a position to help President Trump execute his policies ... bringing the experience that I have had of being on the front lines of many of these battles and actually understanding what we’re …

Tulsi Gabbard Tells Donald Trump Jr. How Badly She Wants To Be His Dad's Running Mate
The former Democrat gushed over the prospect of running with the GOP's presumptive presidential nominee.

Multi-target and multi-stage liver lesion segmentation and detection in multi-phase computed tomography scans
Abdullah F. Al-Battal, Soan T. M. Duong, Van Ha Tang, Quang Duc Tran, Steven Q. H. Truong, Chien Phan, Truong Q. Nguyen, Cheolhong An
https://arxiv.org/abs/2404.11152

Multi-target and multi-stage liver lesion segmentation and detection in multi-phase computed tomography scans
Multi-phase computed tomography (CT) scans use contrast agents to highlight different anatomical structures within the body to improve the probability of identifying and detecting anatomical structures of interest and abnormalities such as liver lesions. Yet, detecting these lesions remains a challenging task as these lesions vary significantly in their size, shape, texture, and contrast with respect to surrounding tissue. Therefore, radiologists need to have an extensive experience to be able …

BEATLE -- Self-Reconfigurable Aerial Robot: Design, Control and Experimental Validation
Junichiro Sugihara, Moju Zhao, Takuzumi Nishio, Kei Okada, Masayuki Inaba
https://arxiv.org/abs/2404.09153

BEATLE -- Self-Reconfigurable Aerial Robot: Design, Control and Experimental Validation
Modular self-reconfigurable robots (MSRRs) offer enhanced task flexibility by constructing various structures suitable for each task. However, conventional terrestrial MSRRs equipped with wheels face critical challenges, including limitations in the size of constructible structures and system robustness due to elevated wrench loads applied to each module. In this work, we introduce an Aerial MSRR (A-MSRR) system named BEATLE, capable of merging and separating in-flight. BEATLE can merge without…

Context is everything:
Historian Heather Cox Richardson has, helpfully, begun audiotaping her Letters from an American. Here is the Letter from April 9, in which she explains that the 1864 Arizona law banning abortions was actually written to prevent rogue men from harming women. The statute is placed among others dealing with duels and bodily harm to men. It had nothing to do with reproductive rights.

‎Letters from an American: April 9, 2024 on Apple Podcasts
‎Show Letters from an American, Ep April 9, 2024 - 10 Apr 2024

$3,000 Cybertruck tent*
#cybertruck

"""
Predictive processing also sheds considerable light on a wide range of typical and atypical forms of human experience. A good starting point is to notice that there are two very broad ways for such processing to go wrong. The first is for the brain to underweight predictions and expectations. This will make it hard to detect faint but predictable patterns in a noisy or ambiguous environment. But the second general way to go wrong is for the brain to overweight expectations. In extreme cases, overweighting results in hallucinations. You seem to see and hear things that aren't there, just because […] they are at some level strongly expected.
Autism spectrum condition was initially thought to reflect a specific imbalance of the first kind — a systematic underweighting of prior expectations. […] Underweighting prior knowledge would make weak or elusive patterns hard to detect, and hard to learn too. Such patterns would include things like facial expressions, intonation, or body language, things that delicately hint, in context, at other people's mental states and attitudes. An imbalance of that kind would also make it very hard to learn these patterns in the first place, and even harder to recognize them in situations that are complicated or ambiguous. Recent evidence casts subtle doubt, however, on this bald initial hypothesis. Rather than weakened predictions, intriguing evidence is emerging that suggests that the core issue involves (not underweighting knowledge-based predictions but) actively overweighting the incoming sensory evidence.
[…]
She doesn't just feel "hunger," instead the more fine-grained specifics of the bodily signals dominate. You are feeling a whole lot of something — but what is it? According to the overweighted sensory information theory, autism spectrum condition individuals constantly encounter an excess of highly detailed and apparently very salient sensory information of this kind, coming from both inside their own body and the outside world. This sensory excess impedes the moment-by-moment identification of the broader context or scenario (in this case, hunger). In other words, the emphasis on every aspect of sensory detail effectively makes it impossible to spot the larger forest for the trees.
"""
(Andy Clark, The Experience Machine: How Our Minds Predict and Shape Reality)
#ActuallyAutistic

Some experts say the DOJ's Apple lawsuit makes a strong case for harm to consumers and developers, but proving Apple's market power could be challenging (Lauren Feiner/The Verge)
https://www.theverge.com/2024/3/22/24109033/doj-ap…

Antitrust experts are impressed by DOJ suit against Apple
The Justice Department’s antitrust lawsuit targeting Apple is a strong case with a sound strategy in what is still going to be an uphill battle.

»Even weirder, Battle found that giving a model positive prompts, such as “this will be fun” or “you are as smart as chatGPT,” sometimes improved performance.«
Some interesting thoughts and experiments on prompt engineering, enjoy: https://spectrum.ieee.org/prompt-engineering…

AI Prompt Engineering Is Dead

Long live AI prompt engineering