Tootfinder

Canada-based Clio, which makes cloud tools for law firms, agrees to acquire vLex, which offers a legal and regulatory database and an AI assistant, for $1B (Alex Riehl/BetaKit)
https://betakit.com/clio-to-acquire-american-legaltech-vlex-for-1-billion…

Clio to acquire American legaltech vLex for $1 billion USD
vLex offers an extensive legal and regulatory database alongside an AI-powered assistant.

Locality-aware Parallel Decoding for Efficient Autoregressive Image Generation
Zhuoyang Zhang, Luke J. Huang, Chengyue Wu, Shang Yang, Kelly Peng, Yao Lu, Song Han
https://arxiv.org/abs/2507.01957

Locality-aware Parallel Decoding for Efficient Autoregressive Image Generation
We present Locality-aware Parallel Decoding (LPD) to accelerate autoregressive image generation. Traditional autoregressive image generation relies on next-patch prediction, a memory-bound process that leads to high latency. Existing works have tried to parallelize next-patch prediction by shifting to multi-patch prediction to accelerate the process, but only achieved limited parallelization. To achieve high parallelization while maintaining generation quality, we introduce two key techniques: …

Support Local Journalism
What local journalism DOES
- Connects you to your community
- Lifts marginalized voices
- Shines a light on injustice
Hear from 4 editors of exceptional news orgs. at our free online panel: July 17 @7pm ET
https://www.mobilize.us/mediademocracyproject/event/795861/
We created a directory to help you find local news outlets in your area worth reading and supporting.
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SkyLB: A Locality-Aware Cross-Region Load Balancer for LLM Inference
Tian Xia, Ziming Mao, Jamison Kerney, Ethan J. Jackson, Zhifei Li, Jiarong Xing, Scott Shenker, Ion Stoica
https://arxiv.org/abs/2505.24095

SkyLB: A Locality-Aware Cross-Region Load Balancer for LLM Inference
Serving Large Language Models (LLMs) efficiently in multi-region setups remains a challenge. Due to cost and GPU availability concerns, providers typically deploy LLMs in multiple regions using instance with long-term commitments, like reserved instances or on-premise clusters, which are often underutilized due to their region-local traffic handling and diurnal traffic variance. In this paper, we introduce SkyLB, a locality-aware multi-region load balancer for LLM inference that aggregates regi…

Maximally recoverable codes with locality and availability
Umberto Mart\'inez-Pe\~nas, V. Lalitha
https://arxiv.org/abs/2505.24573 https://

Maximally recoverable codes with locality and availability
In this work, we introduce maximally recoverable codes with locality and availability. We consider locally repairable codes (LRCs) where certain subsets of $ t $ symbols belong each to $ N $ local repair sets, which are pairwise disjoint after removing the $ t $ symbols, and which are of size $ r+δ-1 $ and can correct $ δ-1 $ erasures locally. Classical LRCs with $ N $ disjoint repair sets and LRCs with $ N $-availability are recovered when setting $ t = 1 $ and $ t=δ-1=1 $, respectively. Al…

A robust Likelihood Ratio Test for high-dimensional MANOVA -- with excellent performance
Carlos A. Coelho
https://arxiv.org/abs/2507.01261 https://

A robust Likelihood Ratio Test for high-dimensional MANOVA -- with excellent performance
The present paper answers the following questions related with high-dimensional manova: (i) is it possible to develop a likelihood ratio test for high-dimensional manova? (ii) would such test perform well? (iii) would it be able to outperform existing tests? (iv) would it be applicable to extremely small samples? (v) would it be applicable to non-normal random variables, as uniform, extremely skewed distributions, or even heavy tailed distributions with success? (vi) would it have a nice, rathe…

How to embed any likelihood into SBI: Application to Planck Stage IV galaxy surveys and Dynamical Dark Energy
Guillermo Franco Abell\'an, Noemi Anau Montel, Oleg Savchenko, Christoph Weniger
https://arxiv.org/abs/2507.22990

How to embed any likelihood into SBI: Application to Planck + Stage IV galaxy surveys and Dynamical Dark Energy
Simulation-based inference (SBI) allows fast Bayesian inference for simulators encoding implicit likelihoods. However, some explicit likelihoods cannot be easily reformulated as simulators, hindering their integration into combined analyses within SBI frameworks. One key example in cosmology is given by the Planck CMB likelihoods. We present a simple method to construct an effective simulator for any explicit likelihood using samples from a previously converged Markov Chain Monte Carlo (MCMC) r…

Tennessee death row inmate with pacemaker can be executed despite likelihood heart device will prolong suffering: court | The Independent
https://www.the-independent.com/news/world/americas/crime/byron-black-tennessee-execution-heart-b2800655.html

Whoa, a positive development on the federal government funding front, where it's needed, perhaps, most - state and local grants.
DHS Launches Over $100 Million in Funding to Strengthen Communities’ Cyber Defenses

Neural Networks for Parameter Estimation of the Discretely Observed Hawkes Process
Jason J. Lambe, Feng Chen, Tom Stindl, Tsz-Kit Jeffrey Kwan
https://arxiv.org/abs/2506.01258

Neural Networks for Parameter Estimation of the Discretely Observed Hawkes Process
When the sample path of a Hawkes process is observed discretely, such that only the total event counts in disjoint time intervals are known, the likelihood function becomes intractable. To overcome the challenge of likelihood-based inference in this setting, we propose to use a likelihood-free approach to parameter estimation, where a fully connected neural network (NN) is trained using simulated data to estimate the parameters of the Hawkes process from a summary statistic of the count data. A…