Tootfinder

Stripe has agreed to acquire Privy, which helps companies build crypto wallets into their user experiences; Privy was last valued at $230M in March 2025 (Emily Mason/Bloomberg)
https://www.bloomberg.com/news/articles/20

Verification of the Release-Acquire Semantics
Parosh Abdulla, Elli Anastasiadi, Mohamed Faouzi Atig, Samuel Grahn
https://arxiv.org/abs/2506.08238 https://…

Verification of the Release-Acquire Semantics
The Release-Acquire (RA) semantics and its variants are some of the most fundamental models of concurrent semantics for architectures, programming languages, and distributed systems. Several steps have been taken in the direction of testing such semantics, where one is interested in whether a single program execution is consistent with a memory model. The more general verification problem, i.e., checking whether all allowed program runs are consistent with a memory model, has still not been stu…

Raiders predicted to acquire recently cut former $84 million star to cornerbacks room https://www.sportingnews.com/us/nfl/las-vegas-raiders/news/raiders-predicted-acquire-cut-former…

This https://arxiv.org/abs/2506.04668 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

Feature-Based Lie Group Transformer for Real-World Applications
The main goal of representation learning is to acquire meaningful representations from real-world sensory inputs without supervision. Representation learning explains some aspects of human development. Various neural network (NN) models have been proposed that acquire empirically good representations. However, the formulation of a good representation has not been established. We recently proposed a method for categorizing changes between a pair of sensory inputs. A unique feature of this approa…

Steelers still trying to acquire one more playmaker to help new QB Aaron Rodgers, per report

https://www.cbssports.com/nfl/news/steeler

Charge Ordering in out-of-plane Boron Doped Reduced Graphene Oxide
Saikat Sarkar, Rajarshi Roy, Bikram Kumar Das, Suman Chatterjee, Kalyan Kumar Chattopadhyay
https://arxiv.org/abs/2506.09567

Charge Ordering in out-of-plane Boron Doped Reduced Graphene Oxide
Symmetry-breaking phase transitions analogous to superconductivity (SC), charge ordering (CO) etc. in metal-intercalated graphene are favorable resulting from modified electronic and phonon band structures. Strong carrier-lattice interaction evolved from the out-of-plane soft vibrations with accumulation of charges at the out-of-plane region, can set a favorable environment for CO in graphene system. Here, we employ boron-doped reduced graphene oxide (BG) to acquire charge-ordered state above a…

«Reclaim real African artifacts from Western museums in this Africanfuturist heist game. Recruit crew members, plan escape routes, acquire the precious cargo, and bounce out of the joint as fast as you can.»
That's an amazing premise for a video game!
https://store.steampowered.com/app/3255890/Relooted/

"Men acquire a particular quality by constantly acting in a particular way."
-Aristotle
#acting #coaching #inspiration

This https://arxiv.org/abs/2502.10090 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Manual2Skill: Learning to Read Manuals and Acquire Robotic Skills for Furniture Assembly Using Vision-Language Models
Humans possess an extraordinary ability to understand and execute complex manipulation tasks by interpreting abstract instruction manuals. For robots, however, this capability remains a substantial challenge, as they cannot interpret abstract instructions and translate them into executable actions. In this paper, we present Manual2Skill, a novel framework that enables robots to perform complex assembly tasks guided by high-level manual instructions. Our approach leverages a Vision-Language Mode…

Vista Equity Partners agrees to acquire ERP software provider Acumatica from PE firm EQT, sources say in a deal that values Acumatica at ~$2B including debt (Bloomberg)
https://www.bloomberg.com/news/articles/2025-0…

Buyout Firm Vista to Acquire EQT’s Acumatica in $2 Billion Deal
Vista Equity Partners agreed to acquire Acumatica Inc., a software company that helps businesses streamline workflows.

https://www.forbes.com/sites/thomasbrewster/2025/06/05/trump-pardoned-corellium-founder-now-selling-cyber-business-to-cellebrite/
Trump Pardoned Him. Now He’s Selling His Cyber Business For $200 Mil…

Cellebrite To Acquire Phone Forensics Startup Corellium For $200 Million
Corellium founder and CEO Chris Wade is selling his startup to Cellebrite, law enforcement’s favorite cellphone forensics business.

Direct interferometric measurement of non-reciprocity induced by a plasmonic metasurface with false chirality
Ahmed Lafeef Ettapuram Naduvilepurayil, Harel Ginat, Fernando Loren, Luis Martin-Moreno, Shmuel Sternklar, Yuri Gorodetski
https://arxiv.org/abs/2506.08815

Direct interferometric measurement of non-reciprocity induced by a plasmonic metasurface with false chirality
Nonreciprocity is an important scientific concept related to the broken symmetry of light propagation through a system in forward and reverse directions. This effect lies in the origin of various applications including signal processing, noise reduction, unidirectional propagation and sensing. Here we show that propagation of Surface Plasmons (SP) within a structure having a false chirality exhibits a non-reciprocity. The SP waves propagating in opposite directions within the structure acquire …

Less is More: some Computational Principles based on Parcimony, and Limitations of Natural Intelligence
Laura Cohen, Xavier Hinaut, Lilyana Petrova, Alexandre Pitti, Syd Reynal, Ichiro Tsuda
https://arxiv.org/abs/2506.07060

Less is More: some Computational Principles based on Parcimony, and Limitations of Natural Intelligence
Natural intelligence (NI) consistently achieves more with less. Infants learn language, develop abstract concepts, and acquire sensorimotor skills from sparse data, all within tight neural and energy limits. In contrast, today's AI relies on virtually unlimited computational power, energy, and data to reach high performance. This paper argues that constraints in NI are paradoxically catalysts for efficiency, adaptability, and creativity. We first show how limited neural bandwidth promotes conci…

Qualcomm agrees to acquire UK-listed Alphawave, which makes high-speed chip and connectivity tech for data centers, for $2.4B in cash, set to close in Q1 2026 (Amy Thomson/Bloomberg)
https://www.bloomberg.com/news/articles/20

Allen Media Group confirms it plans to sell its 28 broadcast TV stations, which it operates and has spent $1B over the past six years to acquire (Lillian Rizzo/CNBC)
https://www.cnbc.com/2025/06/02/byron-allen-broadcast-tv-stations-sale.html…

Byron Allen puts broadcast TV stations up for sale
Byron Allen is putting his 28 broadcast TV stations up for sale in a bid to reduce his company's debt load.

Maryland-based quantum computing company IonQ agrees to acquire Oxford Ionics, which spun out of Oxford University, in a $1.07B all-stock deal, closing in 2025 (Oliver Barnes/Financial Times)
https://www.ft.com/content/dde7bac2-cacb-4deb-9223-5bcfe285db15

US quantum computing company IonQ to buy Oxford university start-up
Acquisition of Oxford Ionics for $1.1bn shows advances in processing are kick-starting dealmaking

Distributional encoding for Gaussian process regression with qualitative inputs
S\'ebastien Da Veiga (ENSAI, CREST, RT-UQ)
https://arxiv.org/abs/2506.04813

Distributional encoding for Gaussian process regression with qualitative inputs
Gaussian Process (GP) regression is a popular and sample-efficient approach for many engineering applications, where observations are expensive to acquire, and is also a central ingredient of Bayesian optimization (BO), a highly prevailing method for the optimization of black-box functions. However, when all or some input variables are categorical, building a predictive and computationally efficient GP remains challenging. Starting from the naive target encoding idea, where the original categor…

This https://arxiv.org/abs/2405.10723 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Eddeep: Fast eddy-current distortion correction for diffusion MRI with deep learning
Modern diffusion MRI sequences commonly acquire a large number of volumes with diffusion sensitization gradients of differing strengths or directions. Such sequences rely on echo-planar imaging (EPI) to achieve reasonable scan duration. However, EPI is vulnerable to off-resonance effects, leading to tissue susceptibility and eddy-current induced distortions. The latter is particularly problematic because it causes misalignment between volumes, disrupting downstream modelling and analysis. The e…

Zscaler has signed a definitive agreement to acquire Red Canary.
https://redcanary.com/blog/news-events/redcanary-joining-zscaler/

Red Canary to join Zscaler | Red Canary
Today we are announcing a major milestone in our journey – Zscaler has signed a definitive agreement to acquire Red Canary.

This https://arxiv.org/abs/2501.15056 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

Feedback-Aware Monte Carlo Tree Search for Efficient Information Seeking in Goal-Oriented Conversations
Effective decision-making and problem-solving in conversational systems require the ability to identify and acquire missing information through targeted questioning. A key challenge lies in efficiently narrowing down a large space of possible outcomes by posing questions that minimize uncertainty. To address this, we introduce a novel framework that leverages Large Language Models (LLMs) to generate information-seeking questions, with Monte Carlo Tree Search (MCTS) to strategically select quest…

Cowboys new backup QB outranks 10 drafted higher, including 2 first-round picks https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/06/04/cowboys-milton-backup-qb-rankings-2025/84029638007/

This https://arxiv.org/abs/2505.20896 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

How Do Transformers Learn Variable Binding in Symbolic Programs?
Variable binding -- the ability to associate variables with values -- is fundamental to symbolic computation and cognition. Although classical architectures typically implement variable binding via addressable memory, it is not well understood how modern neural networks lacking built-in binding operations may acquire this capacity. We investigate this by training a Transformer to dereference queried variables in symbolic programs where variables are assigned either numerical constants or other …

This https://arxiv.org/abs/2504.12483 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Beta function without UV divergences
In this paper, we construct the beta function in the functorial formulation of two-dimensional quantum field theories (FQFT). A key feature of this approach is the absence of ultraviolet divergences. We show that, nevertheless, in the FQFT perturbation theory, the local observables of deformed theories acquire logarithmic dimension, leading to a conformal anomaly. The beta function arises in the functorial approach as an infinitesimal transformation of the partition function under the variation…

@… I've been asked this question myself from folks earlier in their career than I am, but obviously you're beyond me, so I'm curious to hear your take.
What is the most valuable skill for a software developer to acquire to ensure their success?
(I already suspect I have a hunch as to your thoughts, but if you're willing, I'd …

This https://arxiv.org/abs/2502.11191 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

Primus: A Pioneering Collection of Open-Source Datasets for Cybersecurity LLM Training
Large Language Models (LLMs) have shown remarkable advancements in specialized fields such as finance, law, and medicine. However, in cybersecurity, we have noticed a lack of open-source datasets, with a particular lack of high-quality cybersecurity pretraining corpora, even though much research indicates that LLMs acquire their knowledge during pretraining. To address this, we present a comprehensive suite of datasets covering all major training stages, including pretraining, instruction fine-…

This https://arxiv.org/abs/2411.06188 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_grqc_…

The thermodynamic profile of AdS black holes in Lorentz-violating Bumblebee and Kalb-Ramond gravity
Lorentz invariance violation (LIV) is a topic of significant interest in quantum gravity and in extensions of the Standard Model of particle physics. Recently, new classes of black hole solutions have been proposed, involving vector fields and rank-two antisymmetric tensor fields that acquire nontrivial vacuum expectation values, resulting in the Bumblebee and Kalb-Ramond (KR) gravity models, respectively. These models exhibit novel geometric structures and differ in notable ways from standard …

AT&T to Acquire Lumen’s Mass Markets Fiber Business
https://about.att.com/story/2025/lumen-mass-markets-fiber-business.html

This https://arxiv.org/abs/2302.11997 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Beamforming Design with Partial Channel Estimation and Feedback for FDD RIS-Assisted Systems
Beamforming design with partial channel estimation and feedback for frequency-division duplexing (FDD) reconfigurable intelligent surface (RIS) assisted systems is considered in this paper. We leverage the observation that path angle information (PAI) varies more slowly than path gain information (PGI). Then, several dominant paths are selected among all the cascaded paths according to the known PAI for maximizing the spectral efficiency of downlink data transmission. To acquire the dominating …

This https://arxiv.org/abs/2406.07186 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_eco…

Information Aggregation with Costly Information Acquisition
We study information aggregation in a dynamic trading model with partially informed traders. Ostrovsky [2012] showed that 'separable' securities aggregate information in all equilibria, however, separability is not robust to small changes in the traders' private information. To remedy this problem, we enhance the model by allowing traders to acquire signals with cost $κ$, in every period. We show that '$κ$ separable securities' aggregate information and, as the cost decreases, nearly all secu…

This https://arxiv.org/abs/2312.02943 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qfi…

Striking the Balance: Life Insurance Timing and Asset Allocation in Financial Planning
This paper investigates the consumption and investment decisions of an individual facing uncertain lifespan and stochastic labor income within a Black-Scholes market framework. A key aspect of our study involves the agent's option to choose when to acquire life insurance for bequest purposes. We examine two scenarios: one with a fixed bequest amount and another with a controlled bequest amount. Applying duality theory and addressing free-boundary problems, we analytically solve both cases, and …

Predicting Empirical AI Research Outcomes with Language Models
Jiaxin Wen, Chenglei Si, Yueh-han Chen, He He, Shi Feng
https://arxiv.org/abs/2506.00794 htt…

Predicting Empirical AI Research Outcomes with Language Models
Many promising-looking ideas in AI research fail to deliver, but their validation takes substantial human labor and compute. Predicting an idea's chance of success is thus crucial for accelerating empirical AI research, a skill that even expert researchers can only acquire through substantial experience. We build the first benchmark for this task and compare LMs with human experts. Concretely, given two research ideas (e.g., two jailbreaking methods), we aim to predict which will perform better…

Bridging the Gap Between Semantic and User Preference Spaces for Multi-modal Music Representation Learning
Xiaofeng Pan, Jing Chen, Haitong Zhang, Menglin Xing, Jiayi Wei, Xuefeng Mu, Zhongqian Xie
https://arxiv.org/abs/2505.23298

Bridging the Gap Between Semantic and User Preference Spaces for Multi-modal Music Representation Learning
Recent works of music representation learning mainly focus on learning acoustic music representations with unlabeled audios or further attempt to acquire multi-modal music representations with scarce annotated audio-text pairs. They either ignore the language semantics or rely on labeled audio datasets that are difficult and expensive to create. Moreover, merely modeling semantic space usually fails to achieve satisfactory performance on music recommendation tasks since the user preference spac…

TRACE: Contrastive learning for multi-trial time-series data in neuroscience
Lisa Schmors, Dominic Gonschorek, Jan Niklas B\"ohm, Yongrong Qiu, Na Zhou, Dmitry Kobak, Andreas Tolias, Fabian Sinz, Jacob Reimer, Katrin Franke, Sebastian Damrich, Philipp Berens
https://arxiv.org/abs/2506.04906

TRACE: Contrastive learning for multi-trial time-series data in neuroscience
Modern neural recording techniques such as two-photon imaging allow to acquire vast time-series datasets with responses of hundreds or thousands of neurons. Contrastive learning is a powerful self-supervised framework for learning representations of complex datasets. Existing applications for neural time series rely on generic data augmentations and do not exploit the multi-trial data structure inherent in many neural datasets. Here we present TRACE, a new contrastive learning framework that av…

System Identification for Virtual Sensor-Based Model Predictive Control: Application to a 2-DoF Direct-Drive Robotic Arm
Kosei Tsuji, Ichiro Maruta, Kenji Fujimoto, Tomoyuki Maeda, Yoshihisa Tamase, Tsukasa Shinohara
https://arxiv.org/abs/2505.23138

System Identification for Virtual Sensor-Based Model Predictive Control: Application to a 2-DoF Direct-Drive Robotic Arm
Nonlinear Model Predictive Control (NMPC) offers a powerful approach for controlling complex nonlinear systems, yet faces two key challenges. First, accurately modeling nonlinear dynamics remains difficult. Second, variables directly related to control objectives often cannot be directly measured during operation. Although high-cost sensors can acquire these variables during model development, their use in practical deployment is typically infeasible. To overcome these limitations, we propose a…

Meta agrees to acquire power from Constellation's operating Illinois nuclear plant, in a 20-year deal starting in mid-2027 when a state subsidy expires (Bloomberg)
https://www.bloomberg.com/news/articles/20

Snowflake agrees to acquire Crunchy Data, a cloud-based database service that helps businesses and government agencies use PostgreSQL, a source says for ~$250M (Belle Lin/Wall Street Journal)
https://www.wsj.com/articles/snowflake-to-buy-crunchy…

This https://arxiv.org/abs/2505.13062 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csMM_…

Hearing from Silence: Reasoning Audio Descriptions from Silent Videos via Vision-Language Model
Humans can intuitively infer sounds from silent videos, but whether multimodal large language models can perform modal-mismatch reasoning without accessing target modalities remains relatively unexplored. Current text-assisted-video-to-audio (VT2A) methods excel in video foley tasks but struggle to acquire audio descriptions during inference. We introduce the task of Reasoning Audio Descriptions from Silent Videos (SVAD) to address this challenge and investigate vision-language models' (VLMs) c…

This https://arxiv.org/abs/0808.3636 has been replaced.
link: https://scholar.google.com/scholar?q=a

Physics education research: Resources for graduate student instructors
This resource letter intends to provide physics instructors - particularly graduate student teaching assistants - at the introductory university level with a small but representative collection of resources to acquire a familiarity with research in physics education for guidance in everyday instruction. The resources are in the form of books, articles, websites, journals, and organizations.

Predicting protein folding dynamics using sequence information
Ezequiel A. Galpern, Federico Caama\~no, Diego U. Ferreiro
https://arxiv.org/abs/2505.17237 …

Predicting protein folding dynamics using sequence information
Natural protein sequences somehow encode the structural forms that these molecules adopt. Recent developments in structure-prediction are agnostic to the mechanisms by which proteins fold and represent them as static objects. However, the amino acid sequences also encode information about how the folding process can happen, and how variations in the sequences impact on the populations of the distinct structural forms that proteins acquire. Here we present a method to infer protein folding dynam…