Fashion

As tech companies tout their plans for massive new data centers, consumers are increasingly worried the AI-driven gold rush will ultimately drive up the price they pay for electricity, according to a new survey. The report, commissioned by solar installer Sunrun, found that 80% of consumers are worried about the impact of data centers on their utility bills. Consumers’ concerns …

I in both a graph database and a SQL database, then used various large language models (LLMs) to answer questions about the data through a retrieval-augmented generation (RAG) approach. By using the same dataset and questions across both systems, I evaluated which database paradigm delivers more accurate and insightful results. Retrieval-Augmented Generation (RAG) is an AI framework that enhances large …

[Submitted on 1 Sep 2025 (v1), last revised 30 Oct 2025 (this version, v3)] View a PDF of the paper titled DSDE: Dynamic Speculative Decoding with KLD Stability for Real-World Serving, by Mingyu Yang and 4 other authors View PDF HTML (experimental) Abstract:Speculative decoding accelerates large language model inference, but its reliance on a fixed speculation length is suboptimal in …

arXiv:2510.25769v1 Announce Type: cross Abstract: Stochastic differential equations (SDEs) are well suited to modelling noisy and irregularly sampled time series found in finance, physics, and machine learning. Traditional approaches require costly numerical solvers to sample between arbitrary time points. We introduce Neural Stochastic Flows (NSFs) and their latent variants, which directly learn (latent) SDE transition laws using conditional normalising flows …

[Submitted on 15 Oct 2025 (v1), last revised 28 Oct 2025 (this version, v2)] View a PDF of the paper titled Assessing the robustness of heterogeneous treatment effects in survival analysis under informative censoring, by Yuxin Wang and 4 other authors View PDF Abstract:Dropout is common in clinical studies, with up to half of patients leaving early due to side …

[Submitted on 25 May 2025 (v1), last revised 27 Oct 2025 (this version, v2)] View a PDF of the paper titled MOOSE-Chem2: Exploring LLM Limits in Fine-Grained Scientific Hypothesis Discovery via Hierarchical Search, by Zonglin Yang and 9 other authors View PDF HTML (experimental) Abstract:Large language models (LLMs) have shown promise in automating scientific hypothesis generation, yet existing approaches primarily …

A previous article provided a of conceptual frameworks – analytical structures for representing abstract concepts and organizing data. Data scientists use such frameworks in a wide variety of contexts, from use case ideation and validation of machine learning models to productization and operation of user-facing solutions. The framework type (e.g., hierarchy, matrix, process flow, relational map) and framework dimensions (e.g., …

The countdown is almost over — tomorrow’s the day! In less than 24 hours, TechCrunch Disrupt 2025 takes over Moscone West. From October 27–29, 10,000 founders, investors, and innovators will flood San Francisco for three days of building, connecting, and deal-making. We’re just days away from live demos of never-before-seen tech and high-stakes pitches as startups compete for the $100,000 …

Most data that relates to a measurable process in the real world has a geospatial aspect to it. Organisations that manage assets over a wide geographical area, or have a business process which requires them to consider many layers of geographical attributes that require mapping, will have more complicated geospatial analytics requirements, when they start to use this data to …

With TechCrunch Disrupt 2025 in less than 3 days, we’re loading up Moscone West with 200+ can’t-miss sessions — including breakout sessions led by top leaders across the tech and startup ecosystem. Breakout sessions are tailored for hands-on learning and tactical takeaways. These first-come, first-served rooms put you shoulder-to-shoulder with operators, founders, and investors building what’s next. Don’t miss your …