Tootfinder

Fairphone announces the €599 Fairphone 6, with a 6.31" 120Hz LTPO OLED display, a Snapdragon 7s Gen 3 chip, and enhanced modularity with 12 swappable parts (Andrew Liszewski/The Verge)
https://www.theverge.com/news/692248/fairp

The smaller Fairphone 6 introduces swappable accessories
The Fairphone 6 is smaller and lighter but offers better battery life and a more modular design, making it easier to repair and upgrade than other phones.

Modularity from $q$-series
Ken Ono
https://arxiv.org/abs/2509.20316 https://arxiv.org/pdf/2509.20316

Modularity from $q$-series
In 1975, G. E. Andrews challenged the community to provide a proof that takes the summatory forms of the Rogers--Ramanujan $q$-series as input and directly establishes their modularity. This question is important because many different $q$-series appearing in combinatorics, representation theory, and physics often seem to be mysteriously modular, yet there is no general test to confirm this directly from the exotic $q$-series expressions. In this note, solve this general problem using $q$-serie…

MAM: Modular Multi-Agent Framework for Multi-Modal Medical Diagnosis via Role-Specialized Collaboration
Yucheng Zhou, Lingran Song, Jianbing Shen
https://arxiv.org/abs/2506.19835 …

MAM: Modular Multi-Agent Framework for Multi-Modal Medical Diagnosis via Role-Specialized Collaboration
Recent advancements in medical Large Language Models (LLMs) have showcased their powerful reasoning and diagnostic capabilities. Despite their success, current unified multimodal medical LLMs face limitations in knowledge update costs, comprehensiveness, and flexibility. To address these challenges, we introduce the Modular Multi-Agent Framework for Multi-Modal Medical Diagnosis (MAM). Inspired by our empirical findings highlighting the benefits of role assignment and diagnostic discernment in …

Modular Robot and Landmark Localisation Using Relative Bearing Measurements
Behzad Zamani, Jochen Trumpf, Chris Manzie
https://arxiv.org/abs/2507.18070 https://

Modular Robot and Landmark Localisation Using Relative Bearing Measurements
In this paper we propose a modular nonlinear least squares filtering approach for systems composed of independent subsystems. The state and error covariance estimate of each subsystem is updated independently, even when a relative measurement simultaneously depends on the states of multiple subsystems. We integrate the Covariance Intersection (CI) algorithm as part of our solution in order to prevent double counting of information when subsystems share estimates with each other. An alternative …

Non-holomorphic modular flavor symmetry and odd weight polyharmonic Maa{\ss} form
Bu-Yao Qu, Jun-Nan Lu, Gui-Jun Ding
https://arxiv.org/abs/2506.19822 http…

Non-holomorphic modular flavor symmetry and odd weight polyharmonic Maaß form
We extend the framework of non-holomorphic modular flavor symmetry to include the odd weight polyharmonic Maaß forms. The integer weight polyharmonic Maaß forms of level $N$ can be arranged into multipltets of the homogeneous finite modular group $Γ'_N$. We propose to construct the integer weight, including weight one, non-holomorphic polyharmonic Maaß forms from the non-holomorphic Eisenstein series. The previous results of even weight polyharmonic Maaß forms are reproduced. We apply this…

Modular Embedding Recomposition for Incremental Learning
Aniello Panariello, Emanuele Frascaroli, Pietro Buzzega, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara
https://arxiv.org/abs/2508.16463

Modular Embedding Recomposition for Incremental Learning
The advent of pre-trained Vision-Language Models (VLMs) has significantly transformed Continual Learning (CL), mainly due to their zero-shot classification abilities. Such proficiency makes VLMs well-suited for real-world applications, enabling robust performance on novel unseen classes without requiring adaptation. However, fine-tuning remains essential when downstream tasks deviate significantly from the pre-training domain. Prior CL approaches primarily focus on preserving the zero-shot capa…

Modular, which lets developers build AI apps that run across multiple GPU and CPU vendors, raised $250M led by US Innovative Technology at a $1.6B valuation (Lauren Goode/Wired)
https://www.wired.com/story/semiconductor-software-startups-chips/

A Former Apple Luminary Sets Out to Create the Ultimate GPU Software
Demand for AI chips is booming—and so is the need for software to run them. Chris Lattner’s startup Modular just raised $250 million to build the best developer tools for AI hardware.

Modular Forms with Only Nonnegative Coefficients
Paul Jenkins, Jeremy Rouse
https://arxiv.org/abs/2507.17949 https://arxiv.org/pdf/2507.17949

Modular Forms with Only Nonnegative Coefficients
We study modular forms for $\textrm{SL}_2(\mathbb{Z})$ with no negative Fourier coefficients. Let $A(k)$ be the positive integer where if the first $A(k)$ Fourier coefficients of a modular form of weight $k$ for $\textrm{SL}_2(\mathbb{Z})$ are nonnegative, then all of its Fourier coefficients are nonnegative, so that $A(k)$ can be interpreted as a ``nonnegativity Sturm bound''. We give upper and lower bounds for $A(k)$, as well as an upper bound on the $n$th Fourier coefficient of any form with…

A Modular Residual Learning Framework to Enhance Model-Based Approach for Robust Locomotion
Min-Gyu Kim, Dongyun Kang, Hajun Kim, Hae-Won Park
https://arxiv.org/abs/2507.18138 h…

A Modular Residual Learning Framework to Enhance Model-Based Approach for Robust Locomotion
This paper presents a novel approach that combines the advantages of both model-based and learning-based frameworks to achieve robust locomotion. The residual modules are integrated with each corresponding part of the model-based framework, a footstep planner and dynamic model designed using heuristics, to complement performance degradation caused by a model mismatch. By utilizing a modular structure and selecting the appropriate learning-based method for each residual module, our framework dem…

Bounds for integral moments of quadratic twists of Fourier coefficients of modular forms
Peng Gao, Yuetong Zhao
https://arxiv.org/abs/2509.20085 https://ar…

Bounds for integral moments of quadratic twists of Fourier coefficients of modular forms
In this paper, we obtain under the assumption of the Generalized Riemann Hypothesis upper bounds for all high integral moments of sums of Fourier coefficients of a given modular form twisted by quadratic Dirichlet characters. We show the bounds are optimal by establishing unconditionally the corresponding lower bounds for all even integer moments.