Tootfinder

…that nervous systems could get more complex, and form brains, way better than with OG myelin. And it didn’t happen just once, but multiple times. The various strains of #Retromyelin are different, but similar enough to have similar effects in all the different animal lineages.
Which makes me wonder, is there some crossover of RNA from any of the pathogens floating around these days that…

Will GPT-4 Run DOOM?
Adrian de Wynter
https://arxiv.org/abs/2403.05468 https://arxiv.org/pdf/2403.05468

Will GPT-4 Run DOOM?
We show that GPT-4's reasoning and planning capabilities extend to the 1993 first-person shooter Doom. This large language model (LLM) is able to run and play the game with only a few instructions, plus a textual description--generated by the model itself from screenshots--about the state of the game being observed. We find that GPT-4 can play the game to a passable degree: it is able to manipulate doors, combat enemies, and perform pathing. More complex prompting strategies involving multiple …

One vs. Many: Comprehending Accurate Information from Multiple Erroneous and Inconsistent AI Generations
Yoonjoo Lee, Kihoon Son, Tae Soo Kim, Jisu Kim, John Joon Young Chung, Eytan Adar, Juho Kim
https://arxiv.org/abs/2405.05581

One vs. Many: Comprehending Accurate Information from Multiple Erroneous and Inconsistent AI Generations
As Large Language Models (LLMs) are nondeterministic, the same input can generate different outputs, some of which may be incorrect or hallucinated. If run again, the LLM may correct itself and produce the correct answer. Unfortunately, most LLM-powered systems resort to single results which, correct or not, users accept. Having the LLM produce multiple outputs may help identify disagreements or alternatives. However, it is not obvious how the user will interpret conflicts or inconsistencies. T…

A high-temperature multiferroic Tb$_2$(MoO$_4$)$_3$
Shimon Tajima, Hidetoshi Masuda, Yoichi Nii, Shojiro Kimura, Yoshinori Onose
https://arxiv.org/abs/2405.05701

A high-temperature multiferroic Tb$_2$(MoO$_4$)$_3$
Magnetoelectric mutual control in multiferroics, which is the electric control of magnetization, or reciprocally the magnetic control of polarization has attracted much attention because of its possible applications to spintronic devices, multi-bit memories, and so on. While the required working temperature for the practical application is much higher than room temperature, which ensures stable functionality at room temperature, the reported working temperatures were at most around room tempera…

LayerPlexRank: Exploring Node Centrality and Layer Influence through Algebraic Connectivity in Multiplex Networks
Hao Ren, Jiaojiao Jiang
https://arxiv.org/abs/2405.05576

LayerPlexRank: Exploring Node Centrality and Layer Influence through Algebraic Connectivity in Multiplex Networks
As the calculation of centrality in complex networks becomes increasingly vital across technological, biological, and social systems, precise and scalable ranking methods are essential for understanding these networks. This paper introduces LayerPlexRank, an algorithm that simultaneously assesses node centrality and layer influence in multiplex networks using algebraic connectivity metrics. This method enhances the robustness of the ranking algorithm by effectively assessing structural changes …

2-16 GHz Multifrequency X-Cut Lithium Niobate NEMS Resonators on a Single Chip
Ryan Tetro, Luca Colombo, Matteo Rinaldi
https://arxiv.org/abs/2405.05547 ht…

2-16 GHz Multifrequency X-Cut Lithium Niobate NEMS Resonators on a Single Chip
This work presents the design, fabrication, and testing of X-Cut Lithium Niobate (LN) acoustic nanoelectromechanical (NEMS) Laterally Vibrating Resonators (LVRs) and Degenerate LVRs (d-LVRs) operating in the S0 (YZ30) and SH0 (YZ-10) modes between 2 to 16 GHz range, monolithically fabricated on a single chip. The NEMS topology is optimized to extend the aforementioned fundamental modes in the C-, X-, and Ku-bands while preserving performance and mass manufacturability. The devices present acous…

Will GPT-4 Run DOOM?
Adrian de Wynter
https://arxiv.org/abs/2403.05468 https://arxiv.org/pdf/2403.05468

Will GPT-4 Run DOOM?
We show that GPT-4's reasoning and planning capabilities extend to the 1993 first-person shooter Doom. This large language model (LLM) is able to run and play the game with only a few instructions, plus a textual description--generated by the model itself from screenshots--about the state of the game being observed. We find that GPT-4 can play the game to a passable degree: it is able to manipulate doors, combat enemies, and perform pathing. More complex prompting strategies involving multiple …

One vs. Many: Comprehending Accurate Information from Multiple Erroneous and Inconsistent AI Generations
Yoonjoo Lee, Kihoon Son, Tae Soo Kim, Jisu Kim, John Joon Young Chung, Eytan Adar, Juho Kim
https://arxiv.org/abs/2405.05581

One vs. Many: Comprehending Accurate Information from Multiple Erroneous and Inconsistent AI Generations
As Large Language Models (LLMs) are nondeterministic, the same input can generate different outputs, some of which may be incorrect or hallucinated. If run again, the LLM may correct itself and produce the correct answer. Unfortunately, most LLM-powered systems resort to single results which, correct or not, users accept. Having the LLM produce multiple outputs may help identify disagreements or alternatives. However, it is not obvious how the user will interpret conflicts or inconsistencies. T…

Size selection of crack front defects: Multiple fracture-plane interactions and intrinsic lengthscales
Meng Wang, Eran Bouchbinder, Jay Fineberg
https://arxiv.org/abs/2404.06289 <…

Size selection of crack front defects: Multiple fracture-plane interactions and intrinsic lengthscales
Material failure is mediated by the propagation of cracks, which in realistic 3D materials typically involve multiple coexisting fracture planes. Multiple fracture-plane interactions create poorly understood out-of-plane crack structures, such as step defects on tensile fracture surfaces. Steps form once a slowly moving, distorted crack front segments into disconnected overlapping fracture planes separated by a stabilizing distance $h_{\rm max}$. Our experiments on numerous brittle hydrogels re…