Tootfinder

Data management software vendor Rubrik agrees to acquire Predibase, which helps with deploying AI models; source: Rubrik plans to pay between $100M and $500M (Jordan Novet/CNBC)
https://www.cnbc.com/2025/06/25/rubrik-agrees-to-bu…

Rubrik agrees to buy AI startup Predibase for over $100 million
Rubrik is seeking to bolster its artificial intelligence capabilities through acquisition.

SuperSONIC: Cloud-Native Infrastructure for ML Inferencing
Dmitry Kondratyev, Benedikt Riedel, Yuan-Tang Chou, Miles Cochran-Branson, Noah Paladino, David Schultz, Mia Liu, Javier Duarte, Philip Harris, Shih-Chieh Hsu
https://arxiv.org/abs/2506.20657

SuperSONIC: Cloud-Native Infrastructure for ML Inferencing
The increasing computational demand from growing data rates and complex machine learning (ML) algorithms in large-scale scientific experiments has driven the adoption of the Services for Optimized Network Inference on Coprocessors (SONIC) approach. SONIC accelerates ML inference by offloading it to local or remote coprocessors to optimize resource utilization. Leveraging its portability to different types of coprocessors, SONIC enhances data processing and model deployment efficiency for cuttin…

A Large Outburst, Coma Asymmetries, and the Color of Comet 243P/NEAT
Michael S. P. Kelley, Silvia Protopapa, Dennis Bodewits, Aren N. Heinze, Youssef Moulane, Quanzhi Ye, Bryce Bolin, Simon Conseil, Tony L. Farnham, Lori Feaga, Xing Gao, Chih-Hao Hsia, Emmanuel Jehin, Shrinivas R. Kulkarni, Russ R. Laher, Tim Lister, Frank J. Masci, Josiah Purdum, Bin Yang

A Large Outburst, Coma Asymmetries, and the Color of Comet 243P/NEAT
Water ice is a fundamental building material of comets and other bodies in the outer solar system. Yet, the properties of cometary water ice are challenging to study, due to its volatility and the typical distances at which comets are observed. Cometary outbursts, impulsive mass-loss events that can liberate large amounts of material, offer opportunities to directly observe and characterize cometary water ice. We present a study of comet 243P/NEAT, instigated by a $-3$ mag outburst that occurre…

A workflow for generating synthetic LiDAR datasets in simulation environments
Abhishek Phadke, Shakib Mahmud Dipto, Pratip Rana
https://arxiv.org/abs/2506.17378

A workflow for generating synthetic LiDAR datasets in simulation environments
This paper presents a simulation workflow for generating synthetic LiDAR datasets to support autonomous vehicle perception, robotics research, and sensor security analysis. Leveraging the CoppeliaSim simulation environment and its Python API, we integrate time-of-flight LiDAR, image sensors, and two dimensional scanners onto a simulated vehicle platform operating within an urban scenario. The workflow automates data capture, storage, and annotation across multiple formats (PCD, PLY, CSV), produ…

Line ratio identification of external photoevaporation
Tyger Peake, Thomas J. Haworth, Mari-Liis Aru, William J. Henney
https://arxiv.org/abs/2506.19788 ht…

Line ratio identification of external photoevaporation
External photoevaporation of protoplanetary discs, by massive O stars in stellar clusters, is thought to be a significant process in the evolution of a disc. It has been shown to result in significant mass loss and disc truncation, ultimately reducing the lifetime of the discs, and possibly affecting potential planet populations. It is a well-studied process in the Orion Nebula Cluster (ONC) where the cometary morphology of proplyds is spatially resolvable due to its proximity to Earth. However…

The influence of nitrogen doping and annealing on the silicon vacancy in 4H-SiC
Samuel G. Carter, Infiter Tathfif, Charity Burgess, Brenda VanMil, Suryakanti Debata, Pratibha Dev
https://arxiv.org/abs/2506.17478

The influence of nitrogen doping and annealing on the silicon vacancy in 4H-SiC
The silicon vacancy ($V_{Si}$) in 4H-SiC at its cubic site (V2-center) has shown significant promise for quantum technologies, due to coherent spin states, the mature material system, and stable optical emission. In these SiC-based applications, doping plays a crucial role. It can be used to control the charge state of $V_{Si}$ and formation of different types of defects. Despite its importance, there has been little research on the effects of doping. In this work, we perform a study of the eff…

Optimal Regulation and Investment Incentives in Financial Networks
Matthew O. Jackson, Agathe Pernoud
https://arxiv.org/abs/2506.16648 https://

Optimal Regulation and Investment Incentives in Financial Networks
We examine optimal regulation of financial networks with debt interdependencies between financial firms. We first characterize when it is firms have an incentive to choose excessively risky portfolios and overly correlate their portfolios with those of their counterparties. We then characterize how optimal regulation depends on a firm's financial centrality and its available investment opportunities. In standard core-periphery networks, optimal regulation depends non-monotonically on the correl…

NDCG-Consistent Softmax Approximation with Accelerated Convergence
Yuanhao Pu, Defu Lian, Xiaolong Chen, Xu Huang, Jin Chen, Enhong Chen
https://arxiv.org/abs/2506.09454

NDCG-Consistent Softmax Approximation with Accelerated Convergence
Ranking tasks constitute fundamental components of extreme similarity learning frameworks, where extremely large corpora of objects are modeled through relative similarity relationships adhering to predefined ordinal structures. Among various ranking surrogates, Softmax (SM) Loss has been widely adopted due to its natural capability to handle listwise ranking via global negative comparisons, along with its flexibility across diverse application scenarios. However, despite its effectiveness, SM …

Sketched Sum-Product Networks for Joins
Brian Tsan, Abylay Amanbayev, Asoke Datta, Florin Rusu
https://arxiv.org/abs/2506.14034 https://

Sketched Sum-Product Networks for Joins
Sketches have shown high accuracy in multi-way join cardinality estimation, a critical problem in cost-based query optimization. Accurately estimating the cardinality of a join operation -- analogous to its computational cost -- allows the optimization of query execution costs in relational database systems. However, although sketches have shown high efficacy in query optimization, they are typically constructed specifically for predefined selections in queries that are assumed to be given a pr…

The Midas Project and Tech Oversight Project release The OpenAI Files, a 50 page analysis of OpenAI's governance, leadership, and organizational culture (Hayden Field/The Verge)
https://www.theverge.com/openai/688783/the

The ‘OpenAI Files’ will help you understand how Sam Altman’s company works
Two tech industry watchdog organizations released a research report called the OpenAI Files that covers OpenAI’s corporate structure, its restructuring to a for-profit organization, CEO Sam Altman’s portfolio of investment companies, and more.