News / #acquisition Tag Acquisition 256 articles archived under #acquisition · RSS Sign in to follow The Information — AI news-outlet 8h ago Inside a TPG-Backed Accounting Firm’s Plans for AI and More Acquisitions Smith + Howard, an accounting firm backed by private equity giant TPG that has grown in part by snapping up smaller firms, is gearing up for a new round of acquisitions—including two that could close by the end of the year. As it grows, the firm is exploring how AI could… 31 The Information — AI news-outlet 22h ago OpenAI Eyes Startup Acquisition That Could Boost Cybersecurity Business OpenAI, which is trying to develop a substantial cybersecurity business, is in early talks to buy Trail of Bits, a startup that finds and fixes vulnerabilities in open-source software, according to people familiar with the matter. The size of the potential deal couldn’t be… 25 The Information — AI news-outlet 1d ago Neocloud Prime Intellect Acquires Startup To Speed Up Inference Neoclouds and so-called inference providers that help app developers run open source models are trying to differentiate themselves in a very crowded market. For instance, one such neocloud, Prime Intellect , which was valued at $1 billion in an equity financing in July, is… 22 Stratechery (Ben Thompson) community 1d ago SpaceX Buys More Spectrum, Musk and Market Structure, Distributed Cellular SpaceX's mobile strategy is becoming clearly with its latest spectrum purchase, and it might work. 13 arXiv — Machine Learning research 2d ago DataCupid: Stable Matching Repair for Training Data Acquisition with Delayed Feedback arXiv:2610.12960v1 Announce Type: new Abstract: Matching repair after utility changes can reuse valid observations, but new evaluations must respect matching capacity and may return out of order. We study announced invalidations with bounded, possibly reward-dependent reporting… 33 arXiv — Machine Learning research 2d ago Continually Post-training Small Models via Synthetic Self-distillation arXiv:2610.13113v1 Announce Type: new Abstract: Continual post-training faces a dual challenge of acquisition and retention: models must learn new capabilities while preserving prior knowledge. While Self-Distillation Fine-Tuning (SDFT) mitigates this using self-supervision with… 25 arXiv — Machine Learning research 2d ago Monarch-MoE: Structured Experts for Multimodal Continual Instruction Tuning arXiv:2610.13215v1 Announce Type: new Abstract: Learning new tasks in multimodal continual instruction tuning can cause catastrophic forgetting of previously acquired knowledge. Although multi-expert LoRA distributes learning across experts, updates to a dense low-rank expert… 38 arXiv — Machine Learning research 5d ago Controlled Acquisition and Abstention in Three-Channel Score Conflicts arXiv:2610.10808v1 Announce Type: new Abstract: When audio, video, and text disagree, accuracy alone does not show whether to acquire another source or abstain. We study these choices in a controlled three-score benchmark: a policy observes two signed scores, may request the… 5 arXiv — Machine Learning research 5d ago How Hackable Is Your Speech Quality Metric? A Corrected Protocol, a Benchmark, and What Patching Buys arXiv:2610.10899v1 Announce Type: new Abstract: Speech quality predictors are increasingly used as rewards, yet no agreed measure of their hackability exists. The usual measurement has two flaws. First, the perturbation reaches the predictor through a processing chain -- here a… 31 arXiv — NLP / Computation & Language research 5d ago Grammar Concept Annotation at Scale: Deployed Fine-Tuned Small Language Models Outperform Prompted Frontier Models arXiv:2610.10827v1 Announce Type: new Abstract: Corrective feedback is among the best-evidenced drivers of second-language acquisition, yet corrections delivered during lessons rarely accumulate into an actionable view of grammar mastery. Prompted frontier models can provide… 26 arXiv — NLP / Computation & Language research 5d ago LadderEdit: Edit-Level Residual Compression for Memory-Efficient Lifelong Editing of LLMs arXiv:2610.11160v1 Announce Type: new Abstract: Lifelong editing of LLMs requires storing thousands of edits after acquisition. A widely used family of approaches attaches one LoRA adapter per edit, which preserves behavior but grows linearly in storage. To address this… 38 r/MachineLearning community 5d ago Moonworks Lunara: Modeling Artistic Intelligence [R] Lunara introduces a novel Diffusion Mixture Transformer architecture with fewer than 10B active parameters for modeling artistic intelligence in image generation. Its CAT training algorithm iteratively updates the training distribution through targeted sample acquisition, image… 22 arXiv — Machine Learning research 6d ago HCPN-GCN: Scaling Hierarchical Prototype Networks with Cone Geometry for Continual Graph Learning arXiv:2610.08823v1 Announce Type: new Abstract: Continual Graph Learning (CGL) aims to incrementally learn from graph-structured data while preserving knowledge acquired from previous tasks. A major challenge in this setting is catastrophic forgetting, where learning new tasks… 10 arXiv — Machine Learning research 6d ago UniCSI Towards a Universal Wi-Fi CSI Encoder for Ubiquitous Human Sensing arXiv:2610.09559v1 Announce Type: new Abstract: Wi-Fi sensing promises to turn the everyday wireless signals that already surround us into ubiquitous sensors for human sensing. However, a fundamental obstacle is that CSI is acquired under diverse device-specific configurations,… 16 arXiv — Machine Learning research 7d ago Evaluation of Active Feature Acquisition Policies with Tabular Foundation Models arXiv:2610.07406v1 Announce Type: new Abstract: Active feature acquisition learns policies that sequentially acquire features to maximize information about a target variable. We study how to learn and evaluate such policies from finite offline data using prior-data fitted… 16 arXiv — Machine Learning research 7d ago Active Feature Acquisition for Cost-Efficient Temporal Prediction with Reduced Participant Burden arXiv:2610.07452v1 Announce Type: new Abstract: Accurate forecasting of pathological outcomes is a central problem in psychology. To do so, psychologists often collect intensive longitudinal data. However, in such studies, the desire to acquire a large number of variables for… 26 arXiv — Machine Learning research 7d ago Efficient Multimodal Inference through Adaptive Acquisition and Sequential Fusion arXiv:2610.07466v1 Announce Type: new Abstract: Multimodal systems often encode every available input, even when a subset suffices for prediction. Adaptive acquisition can reduce this cost by using predictions from incrementally fused evidence to decide which modality to encode… 6 arXiv — Machine Learning research 7d ago AFA-BANDIT: Provably Near-Optimal Online Multi-Feature Classification Under Budget Constraints arXiv:2610.07615v1 Announce Type: new Abstract: Active Feature Acquisition (AFA) is a classification problem in which an agent decides which costly features to acquire before predicting each sample's label. Unlike batch AFA, which trains a fixed policy and classifier offline on… 4 arXiv — NLP / Computation & Language research 7d ago Towards In-Parameter Memory Augmentation for Large Language Models arXiv:2610.08630v1 Announce Type: new Abstract: Recently Large Language Models (LLMs) and LLM-based agents increasingly need to incorporate knowledge acquired after pretraining, e.g., domain facts, user preferences, documents, and interaction experience. In-context learning… 31 The Information — AI news-outlet 7d ago Uber's M&A Blitz We’re well into the growth-through-acquisition era in the food-delivery industry. Uber’s $2.3 billion purchase of business catering firm ezCater, unveiled on Tuesday, comes just a few weeks after DoorDash snapped up a college campus meal-delivery business for $300 million from… 13 The Information — AI news-outlet 8d ago Ellison-Controlled Skydance Completes Warner Bros. Discovery Acquisition The Ellison family’s Paramount Skydance completed its $110 billion purchase of Warner Bros. Discovery, Paramount said Tuesday morning, creating a new company to be called Skydance. The combined company owns both the Warner Bros. and Paramount film studios, the HBO Max and… 5 arXiv — NLP / Computation & Language research 13d ago Ready2Blend: From Natural-Language Instructions to Composable Alignment Prompts arXiv:2609.39365v1 Announce Type: new Abstract: Continual alignment requires LLMs to adapt to new requirements without forgetting previously acquired behaviors. Natural-language instructions are flexible and composable but offer only indirect control, whereas post-training… 26 arXiv — NLP / Computation & Language research 14d ago Cross-Linguistic Effects in Bilingual Phoneme BabyLMs arXiv:2609.37121v1 Announce Type: new Abstract: Cross-linguistic effects are a central topic in bilingual first-language acquisition. Artificial learners can help investigate L1-L2 interactions by enabling controlled comparisons across language combinations and learning… 10 TechCrunch — AI news-outlet 14d ago The internet is convinced Elon Musk’s xAI trolled OpenAI’s ‘Dots’ launch Before OpenAI launched its new AI agent, Dots, on Tuesday, Elon Musk's xAI had already acquired the domain name "dot.com," which now redirects to the Grok chatbot download page. 24 Ars Technica — AI news-outlet 14d ago AMD acquires World Labs AI startup, upping the ante against Nvidia The deal, which is expected to close by year's end, is worth $8.2 billion. 9 Latent.Space news-outlet 15d ago [AINews] AMD buys World Labs for $8.2B, as Atlas solves sparse reconstruction problem for robotics, design and more Congrats team! 19 TechCrunch — AI news-outlet 16d ago AMD will acquire Fei-Fei Li’s World Labs for $8.2 billion The acquisition will see World Labs founder Fei-Fei Li join AMD as executive vice president and chief scientist. 22 arXiv — Machine Learning research 19d ago Certified Predictive Value-of-Advice Gating for Cost-Aware Language-Model Guidance in Reinforcement Learning arXiv:2609.29548v1 Announce Type: new Abstract: Language-model advice can accelerate reinforcement learning, but calls are costly and returned actions may be stale or wrong. We formulate advice acquisition as a response-contingent metareasoning problem: before querying, the… 4 The Information — AI news-outlet 19d ago Databricks Acquires Microsoft Excel Competitor Row Zero Databricks is acquiring Row Zero, a five-year-old Microsoft Excel competitor that sells spreadsheet software that’s designed for analyzing massive amounts of data. The deal could help Databricks attract more non-technical users to Genie, a chatbot it launched last summer that… 17 arXiv — Machine Learning research 20d ago Signal2Symbol: Neuro-Symbolic Temporal Reasoning for Explainable Physiological Time-Series Anomaly Detection arXiv:2609.26820v1 Announce Type: new Abstract: Physiological time series such as electrocardiograms (ECG) and electroencephalograms (EEG) exhibit complex temporal structure, substantial acquisition variability, and a strong need for transparent decision-making. Although deep… 4 arXiv — Machine Learning research 21d ago The Dynamics of Quasiregular Neural Learning arXiv:2609.26018v1 Announce Type: new Abstract: Many learning problems combine a dominant regularity with systematic exceptions. Motivated by U-shaped learning in language acquisition, we study this interaction in controlled quasiregular regression problems where regular and… 26 arXiv — NLP / Computation & Language research 21d ago Domain-Adaptive Pretraining Enhances Water Treatment Semantic Representation for Large-Scale Structured Literature Mining arXiv:2609.26034v1 Announce Type: new Abstract: Water treatment research is expanding rapidly, but much of the knowledge acquired from this research remains scattered across unstructured literature. The field still lacks a dedicated language model that can efficiently capture… 33 arXiv — NLP / Computation & Language research 22d ago Do Language Models Know Their Own Constraints? arXiv:2609.22151v1 Announce Type: new Abstract: We ask whether behavioral constraints acquired through post training remain explicitly reportable. Using constrained recipe generation as a testbed, five banned ingredients enforced via LoRA fine tuning of Llama 3.1 8B Instruct we… 10 arXiv — Machine Learning research 26d ago Conservation Buys Stability and Factoring Buys Counterfactuals in Physical World Models arXiv:2609.19674v1 Announce Type: new Abstract: A learned simulator can reproduce its training conditions accurately yet fail in two distinct ways once those conditions change. Over long rollouts, small errors accumulate until the trajectory drifts away from physically plausible… 5 arXiv — NLP / Computation & Language research 27d ago Modeling the Developmental Shift in Telicity Acquisition arXiv:2609.17996v1 Announce Type: new Abstract: Acquiring telicity, which is the distinction between bounded (e.g., ate an apple) and unbounded (e.g., ate apples) events, requires first language (L1) learners to map surface-level and semantic cues to abstract event structures,… 17 r/LocalLLaMA community 28d ago What's the current best LLM uncensoring method? With the recent Nvidia Huggingface acquisition and frontier AI labs screaming about safety and putting guardrails everywhere, I think it's important that we have local models that aren't affected by arbitrary guardrails set during training. To be clear, this post NOT about… 28 arXiv — NLP / Computation & Language research 28d ago A Data-free Universal Prior over Syntactic Structures arXiv:2609.16854v1 Announce Type: new Abstract: Probability is fundamental to theories of language comprehension, production, acquisition, and evolution, as well as to large language models. Existing theories estimate the probability of syntactic structures from… 13 Ars Technica — AI news-outlet 29d ago Exclusive: Paying for frontier AI models buys 4-month head start at 5x the cost Ars previewed Mozilla’s report on how cheap open models caught up on capability. 36 arXiv — Machine Learning research 29d ago PPDL: A Real-world Industrial User Retention Ratio Forecasting Framework Integrating Physical Priors with Deep Learning arXiv:2609.13789v1 Announce Type: new Abstract: In multi-channel paid user acquisition, early and accurate prediction of user retention at the channel level is crucial for optimizing budget allocation. User retention curves display a pronounced temporal pattern: an initial… 35 arXiv — Machine Learning research 29d ago Bayesian optimization with kernel ensembles and disagreement-based acquisition for source localization and acoustic inversion arXiv:2609.14262v1 Announce Type: new Abstract: Joint source localization and geoacoustic inversion requires optimizing an objective built from an expensive normal mode propagation model. Bayesian optimization (BO) with a Gaussian process (GP) surrogate can obtain accurate… 29 arXiv — Machine Learning research 29d ago Learning Source Acquisition Policies by Offline Planning arXiv:2609.14299v1 Announce Type: new Abstract: Predicting under an acquisition budget requires choosing feature groups whose value can depend on later queries. O-MPAC transfers finite-horizon risk-cost targets from complete training records into a shared source-action scorer.… 14 TechCrunch — AI news-outlet 1mo ago OpenAI buys smartphone camera maker Glass Imaging for $300 million, report says Glass Imaging was founded by a pair of former Apple engineers who previously led the team that developed Apple's Portrait Mode. 23 TechCrunch — AI news-outlet 1mo ago Superhuman acquires YC-backed notetaker Fathom as productivity platforms push for agentic work Fathom said that it has over 400,000 monthly active users 27 arXiv — Machine Learning research 1mo ago Fixed State, Long Reach: What a Constant-Size Cache Buys Block Diffusion at Scale arXiv:2609.11998v1 Announce Type: new Abstract: Diffusion language models decode tokens in parallel, but their bidirectional denoiser rules out the naive key--value (KV) cache behind fast autoregressive inference. Block diffusion restores caching by decoding block-by-block, and… 21 arXiv — Machine Learning research 1mo ago Explanations-Driven Active Feature Acquisition for Algorithmic Recourse arXiv:2609.12179v1 Announce Type: new Abstract: Algorithmic recourse methods typically assume that a predictive model has access to all features of an individual. In practice, decisions are often made with partial information, because features are costly to acquire. Active… 31 arXiv — Machine Learning research 1mo ago Where Decoder Cosine Similarity Fails for SAE Feature Flow Discovery arXiv:2609.12591v1 Announce Type: new Abstract: Foundation models are increasingly adapted through fine-tuning, model editing, and alignment procedures while retaining previously acquired capabilities. Understanding the internal computations that support these adaptations is… 25 arXiv — Machine Learning research 1mo ago Counterfactual Marginalisation: Framework for Evaluating Robustness to Nuisance Variables arXiv:2609.10778v1 Announce Type: new Abstract: Machine learning models can achieve strong test performance while relying on demographic or acquisition-related shortcuts. We propose counterfactual (CF) marginalisation as a test-time evaluation procedure for assessing robustness… 25 The Information — AI news-outlet 1mo ago Bending Spoons Buys Miro For $1.355 Billion Italian digital conglomerate Bending Spoons is buying whiteboarding software firm Miro at a valuation of $1.355 billion, the latest in a series of purchases the Italian firm has done at knock-down prices. The price for Miro is a huge discount to its peak valuation of $17.5… 16 arXiv — Machine Learning research 1mo ago HB-PVI: A Hierarchical Bayesian Personalization and Value-of-Information Framework for Complex Activity Recognition arXiv:2609.05582v1 Announce Type: new Abstract: Personalization can improve activity-recognition performance, but participant-specific gains are heterogeneous, and every additional calibration label has an acquisition cost. This study presents HB-PVI, a hierarchical Bayesian… 27 arXiv — Machine Learning research 1mo ago Budgeted Task-Aware Acquisition of Dynamic Networks arXiv:2609.05862v1 Announce Type: new Abstract: Learning on dynamic graphs is difficult when changes in the underlying network are only partially observed. Acquiring current graph information incurs observation and computational costs, making complete updates impractical under… 19 Page 1 of 6 · 256 articles Older →
