Tootfinder

Veeam snaps up Securiti in $1.7B deal to bolster cyber-resilience portfolio
https://blocksandfiles.com/2025/10/21/veeam-buying-securiti/

Veeam snaps up Securiti in $1.7B deal to bolster cyber-resilience portfolio – Blocks and Files
Veeam confirms it is buying Securiti, the cybersecurity startup founded by serial entrepreneur Rehan Jalil, with a $1.725 billion price tag.

Investment Portfolio Optimization Based on Modern Portfolio Theory and Deep Learning Models
Maciej Wysocki, Pawe{\l} Sakowski
https://arxiv.org/abs/2508.14999 https://

Investment Portfolio Optimization Based on Modern Portfolio Theory and Deep Learning Models
This paper investigates an important problem of an appropriate variance-covariance matrix estimation in the Modern Portfolio Theory. We propose a novel framework for variancecovariance matrix estimation for purposes of the portfolio optimization, which is based on deep learning models. We employ the long short-term memory (LSTM) recurrent neural networks (RNN) along with two probabilistic deep learning models: DeepVAR and GPVAR to the task of one-day ahead multivariate forecasting. We then use …

Touch in the Wild: Learning Fine-Grained Manipulation with a Portable Visuo-Tactile Gripper
Xinyue Zhu, Binghao Huang, Yunzhu Li
https://arxiv.org/abs/2507.15062

Touch in the Wild: Learning Fine-Grained Manipulation with a Portable Visuo-Tactile Gripper
Handheld grippers are increasingly used to collect human demonstrations due to their ease of deployment and versatility. However, most existing designs lack tactile sensing, despite the critical role of tactile feedback in precise manipulation. We present a portable, lightweight gripper with integrated tactile sensors that enables synchronized collection of visual and tactile data in diverse, real-world, and in-the-wild settings. Building on this hardware, we propose a cross-modal representatio…

Eigen Portfolios: From Single Component Models to Ensemble Approaches
ZhengXiang Zhou, Yuqi Luan
https://arxiv.org/abs/2508.15586 https://arxiv.org/pdf/250…

Eigen Portfolios: From Single Component Models to Ensemble Approaches
The increasing integration of data science techniques into quantitative finance has enabled more systematic and data-driven approaches to portfolio construction. This paper investigates the use of Principal Component Analysis (PCA) in constructing eigen-portfolios - portfolios derived from the principal components of the asset return correlation matrix. We begin by formalizing the mathematical underpinnings of eigen-portfolios and demonstrate how PCA can reveal latent orthogonal factors driving…

ProTip: Sleep with one paw in your bowl to never miss mealtime.

Multiclass Portfolio Optimization via Variational Quantum Eigensolver with Dicke State Ansatz
J. V. S. Scursulim, Gabriel Mattos Langeloh, Victor Leme Beltran, Samura\'i Brito
https://arxiv.org/abs/2508.13954

Multiclass Portfolio Optimization via Variational Quantum Eigensolver with Dicke State Ansatz
Combinatorial optimization is a fundamental challenge in various domains, with portfolio optimization standing out as a key application in finance. Despite numerous quantum algorithmic approaches proposed for this problem, most overlook a critical feature of realistic portfolios: diversification. In this work, we introduce a novel quantum framework for multiclass portfolio optimization that explicitly incorporates diversification by leveraging multiple parametrized Dicke states, simultaneously …

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#PurdueFortWayne

Purdue Fort Wayne professor weaves math into everyday life | Purdue University Fort Wayne
Hanan Alyami, M.S. ’14, likes to use uncommon ways to look at and teach math. Last semester, she taught three classes at Purdue University Fort Wayne, primarily to elementary education majors learning to be math instructors.

A Few Fit Most: Improving Performance Portability of SGEMM on GPUs using Multi-Versioning
Robert Hochgraf (Rochester Institute of Technology), Sreepathi Pai (University of Rochester)
https://arxiv.org/abs/2507.15277

A Few Fit Most: Improving Performance Portability of SGEMM on GPUs using Multi-Versioning
Hand-optimizing linear algebra kernels for different GPU devices and applications is complex and labor-intensive. Instead, many developers use automatic performance tuning (autotuning) to achieve high performance on a variety of devices. However, autotuning "overfits", and must be redone if any part of the environment changes, such as if the device or input characteristics change. In most non-trivial cases, a single compute kernel cannot maintain near-optimal performance across all environmen…

#proTip
You know how you’ll be walking along, minding your own business, and all of a sudden there’s a stone in your shoe? It’s only a little one and you can shake your foot without hardly breaking stride and get it to somewhere it doesn’t hurt so much or even hardly at all. But then it moves and you’ve gotta shake your foot again. Guess what. You can stop and take off your shoe and tip out the…

With 35% of the stock market value coming from 7 companies benefiting from AI hype, and us being in a bubble, I felt it was time to diversify my retirement portfolio. I’ve added this asset to my holdings.