News / #acquisition Tag Acquisition 256 articles archived under #acquisition · RSS Sign in to follow Latent.Space news-outlet 2mo ago [AINews] Cursor's $60B acquisition by SpaceXai closes Congrats to the team! 26 arXiv — Machine Learning research 2mo ago Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning arXiv:2608.12874v1 Announce Type: new Abstract: Plasticity loss has emerged as a critical challenge in continual learning that significantly hinders the acquisition of sequential tasks. While optimizing activation designs offers a potential solution, current fixed-form functions… 23 arXiv — NLP / Computation & Language research 2mo ago LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure arXiv:2608.13545v1 Announce Type: new Abstract: Modern language models are trained on heterogeneous web-scale text corpora. Consequently, studying knowledge and skill acquisition is difficult, as prior exposure to related content is hard to characterize. To address this… 6 TechCrunch — AI news-outlet 2mo ago How a $250 million acquisition collapsed into allegations of fraud and forged signatures Investors are still waiting for their share of the $250 million windfall, and VideoVerse co-founder Vinayak Shrivastav is now at the center of multiple legal cases. 26 arXiv — NLP / Computation & Language research 2mo ago Detecting an Effect Is Not Learning to Act on It: A Reward-SNR Floor for LLM Acquisition Agents arXiv:2608.10441v1 Announce Type: cross Abstract: Many pipelines can pay a per-example cost to acquire an auxiliary, model-derived observation -- an LLM's structured reasoning, a slow oracle, an expensive measurement -- and then must decide when the acquired signal is worth… 30 arXiv — Machine Learning research 2mo ago Trajectory Design and Budgeted Querying for Digital Twin Calibration arXiv:2608.08631v1 Announce Type: new Abstract: Digital-twin calibration requires interaction data that is expensive to collect. We study two acquisition decisions: which trajectories to generate, and when to spend a limited budget on privileged parameter measurements. Our… 7 arXiv — NLP / Computation & Language research 2mo ago NeuPAT: Neuron-aware Plasticity Allocation Tuning for Language-Preserving MLLMs arXiv:2608.08107v1 Announce Type: new Abstract: Multimodal expansion of large language models (LLMs) enables new perceptual capabilities but often compromises the language intelligence acquired during pretraining. In this work, we investigate this phenomenon from the perspective… 8 arXiv — Machine Learning research 2mo ago ELMZip: Onboard Satellite Image Compression via Extreme Learning Machines for Efficient Downlink arXiv:2608.06942v1 Announce Type: new Abstract: The acquisition of multispectral imagery via small satellites (e.g., CubeSats) presents significant data downlink challenges due to high data volumes and restricted communication windows. While onboard image compression is critical… 27 arXiv — Machine Learning research 2mo ago Conformal Fusion Under Missing Modalities arXiv:2608.07183v1 Announce Type: new Abstract: Multimodal fusion architectures typically assume all modalities are available at inference, yet sensor failures, acquisition variability, and cost constraints routinely produce incomplete observations. Existing work treats modality… 32 TechCrunch — AI news-outlet 2mo ago OpenAI acquires presentation startup NextSlide NextSlide says its team members are now working on ChatGPT. 12 Latent.Space news-outlet 2mo ago [AINews] AMD buys Taalas The Inference Inflection is HEATING up. 22 r/LocalLLaMA community 2mo ago AMD Acquires Taalas to Advance Compute Solutions for Rapidly Growing AI Inference Market Press My earlier prediction that Tesla would buy them completely missed the mark. With AMD focusing heavily on the enterprise side, the idea of consumer-facing hot-swappable AI model chips looks pretty much dead. Fast forward ten years, you might find used model blade cards on… 18 Hacker News — AI on Front Page community 2mo ago AMD acquires Taalas to boost inference performance by etching models in silicon https://ir.amd.com/news-events/press-releases/detail/1296/am... https://chatjimmy.ai/ Comments URL: https://news.ycombinator.com/item?id=49201970 Points: 213 # Comments: 151 13 arXiv — NLP / Computation & Language research 2mo ago Language Models Generalize to Human-like Word Order Preferences arXiv:2608.05028v1 Announce Type: new Abstract: A central question in language acquisition is whether linguistic biases can emerge from general learning mechanisms operating over underdetermined input. Artificial Language Learning (ALL) studies have shown that human learners… 23 Hugging Face Daily Papers research 2mo ago SKILL-KD: Contrastive Skill Distillation for LLM Agents Abstract Skill-based prompting has become a practical mechanism for improving large language model (LLM) agents, yet existing skill acquisition methods often treat skills as experience summaries, memory entries, or direct summaries of successful demonstrations. This creates a… 13 TechCrunch — AI news-outlet 2mo ago Klaviyo acquires Elias Torres’ Agency in full-circle reunion for tech founders The serial entrepreneur joins the e-commerce company as CPO to lead its AI agents. 6 arXiv — Machine Learning research 2mo ago Forecasting Revenue with its Customer-Base Drivers: When and Why Coordination Helps arXiv:2608.02911v1 Announce Type: new Abstract: Revenue forecasts guide acquisition budgets, demand planning, and customer-based valuations, yet an aggregate forecast does not show whether change reflects acquisition, repeat purchasing, spending per order, or offsetting… 8 arXiv — NLP / Computation & Language research 2mo ago Don't Let Me Ask for It: LLMs Show Deficiencies in Active Multi-Turn Information Acquisition for Abductive Inference arXiv:2608.03388v1 Announce Type: new Abstract: Abductive reasoning requires forming hypotheses that explain observed evidence and revising them as new evidence becomes available. While large language models (LLMs) are often evaluated on whether they solve abductive reasoning… 21 arXiv — NLP / Computation & Language research 2mo ago Logic Before Language: Pre-pretraining on Formal Derivations Fosters Skill Acquisition and Compressibility arXiv:2608.03930v1 Announce Type: new Abstract: Pre-pretraining language models (LMs) on symbolic data can accelerate and improve natural language acquisition. However, existing pre-pretraining tasks, such as Dyck and procedural algorithms, rely on narrow primitives that fail to… 13 arXiv — Machine Learning research 2mo ago SAFE-Merge: Data-Free Continual Model Merging with General Knowledge Preservation arXiv:2608.01184v1 Announce Type: new Abstract: Data-free continual model merging must incorporate a stream of specialized models while retaining both pretrained general knowledge and previously acquired tasks, without access to task data. Existing methods mainly merge task… 37 arXiv — Machine Learning research 2mo ago Mitigating Class-Tail Undercoverage in Medical Vision-Language Models under Clinical Shift arXiv:2607.28696v1 Announce Type: new Abstract: Medical vision-language models (VLMs) can retain high observed marginal coverage after clinical shift while substantially under-covering an individual disease class. The affected class varies with acquisition protocol and backbone… 9 arXiv — Machine Learning research 2mo ago NeuroSynth: A Biologically Inspired Continual Reinforcement Learning Architecture for Mitigating Catastrophic Forgetting arXiv:2607.28663v1 Announce Type: cross Abstract: Artificial Intelligence (AI) systems often perform well on isolated tasks but struggle under continual learning conditions, where training on new tasks can overwrite previously acquired knowledge, a failure mode known as… 29 arXiv — NLP / Computation & Language research 2mo ago SciToolAgent-Evo: An Ontology-Aware Self-Evolving Agent for Open-World Scientific Tool Acquisition arXiv:2607.28692v1 Announce Type: cross Abstract: Large language model (LLM) agents have been increasingly adopted in scientific research for organizing and invoking specialized computational tools. However, their reliance on predefined tool spaces with static semantics limits… 33 TechCrunch — AI news-outlet 2mo ago Okta buys AI security startup Permiso; source says for about $200M The deal gives Okta identity threat detection capabilities as enterprises seek to secure AI agents and other non-human identities across cloud environments. 35 TechCrunch — AI news-outlet 2mo ago Nscale buys Anyscale as it seeks to own more of the AI compute stack British AI neocloud Nscale is buying software startup Anyscale, which helps companies scale their AI workloads across data centers and servers. 12 Hugging Face Daily Papers research 2mo ago CLBench-V: Evaluating Multimodal Context Learning from Grounding to Knowledge Acquisition Abstract Real-world tasks often require models to learn from task-specific context rather than relying only on pre-trained knowledge. While recent work has highlighted this capability as context learning, existing evaluations mainly focus on textual contexts. In many practical… 14 arXiv — Machine Learning research 2mo ago Scores Are Not Decisions: Cost-Aware Stopping for Tool Acquisition in LLM Agents arXiv:2607.27083v1 Announce Type: new Abstract: As LLM agents increasingly depend on diverse external services such as search engines, databases, and connectors, agent harnesses face a fundamental tool-selection challenge: acquiring too few tools leaves the task under-informed,… 25 arXiv — Machine Learning research 2mo ago Archetypes or ability? Clustering for modelling student mathematical competence arXiv:2607.26063v1 Announce Type: cross Abstract: Personalised learning systems often assume that mathematical ability is combined of discrete abilities, acquired sequentially and dependent upon first acquiring foundational abilities, and students often report different… 36 arXiv — NLP / Computation & Language research 2mo ago ForgetBench: Benchmarking Forgetting Dynamics of Long-Term Parametric Memory in Language Models arXiv:2607.26455v1 Announce Type: new Abstract: Large language models (LLMs) have demonstrated strong capabilities in knowledge acquisition and reasoning, yet their ability to retain previously acquired knowledge under repeated updates remains insufficiently understood. Existing… 37 Hugging Face Daily Papers research 2mo ago Agent Retrieval Bench: Evaluating Repository Context Retrieval for Coding Agents Abstract Modern coding agents are usually evaluated by whether they eventually produce a correct patch, but patch generation depends on an earlier context-acquisition stage: finding the repository files needed for the task. We introduce Agent Retrieval Bench, a file-level… 9 arXiv — NLP / Computation & Language research 2mo ago Agent Retrieval Bench: Evaluating Repository Context Retrieval for Coding Agents arXiv:2607.24882v1 Announce Type: cross Abstract: Modern coding agents are usually evaluated by whether they eventually produce a correct patch, but patch generation depends on an earlier context-acquisition stage: finding the repository files needed for the task. We introduce… 22 arXiv — NLP / Computation & Language research 2mo ago CLBench-V: Evaluating Multimodal Context Learning from Grounding to Knowledge Acquisition arXiv:2607.25294v1 Announce Type: cross Abstract: Real-world tasks often require models to learn from task-specific context rather than relying only on pre-trained knowledge. While recent work has highlighted this capability as context learning, existing evaluations mainly focus… 4 arXiv — NLP / Computation & Language research 2mo ago A Study of Crosslinguistic Influence in Language Models arXiv:2601.21587v2 Announce Type: replace Abstract: The sequential acquisition of languages inevitably leads to Crosslinguistic Influence (CLI), where the syntactic properties of a first language (L1) impact the processing of a second language (L2). While modern language models… 12 TechCrunch — AI news-outlet 2mo ago Cyera agrees to acquire Oasis Security for $1B to safeguard proliferating AI agents The deal is Cyera's third acquisition this year. 17 Hugging Face Daily Papers research 2mo ago The Physics of Multi-Turn Long-Horizon Planning: From Pre-training to Post-training via Single- and Multi-Teacher On-Policy Agentic Distillation Abstract Multi-turn long-horizon planning is critical for foundation model agents, yet how to fundamentally improve it remains unclear. Existing models are trained on uncontrollable and opaque Internet data, making it difficult to identify how planning ability is acquired,… 33 TechCrunch — AI news-outlet 2mo ago Cursor makes its biggest India push yet ahead of SpaceX acquisition with localized pricing Cursor says India is now its third-largest market globally and plans to expand local hiring and enterprise sales. 23 arXiv — Machine Learning research 2mo ago CC-AOS: Cost- and Horizon-Conditioned Amortized Backward Induction for Finite-Horizon Optimal Stopping arXiv:2607.22774v1 Announce Type: new Abstract: Finite-horizon optimal stopping is a central problem in early time-series classification, where a system must decide at each sequence prefix whether the expected benefit of another observation justifies its acquisition cost.… 14 r/LocalLLaMA community 2mo ago Qwen3.6-27B speculative decoding gets better on heavier quants I finished the speed leg of my spec-decode benchmarking for Qwen3.6-27B, main algorithms across quants. Overall: the heavier the quant, the more spec-decode buys you (10 of 10 speculative configs rank Q8 > Q6 > Q4 by multiplier). Acceptance is quant-independent at matched depth,… 33 arXiv — Machine Learning research 2mo ago MA-DAR: Manifold-Aligned Dynamic Adaptive Routing for Continual Temporal Knowledge Graph Reasoning arXiv:2607.21949v1 Announce Type: new Abstract: Continual temporal knowledge graph (TKG) reasoning aims to continuously incorporate newly emerging facts while preserving previously acquired knowledge. Replay-based continual learning has achieved promising performance by… 36 arXiv — NLP / Computation & Language research 2mo ago FSE: Continual Learning for Named Entity Recognition by Fast-Slow Experts arXiv:2607.22075v1 Announce Type: new Abstract: Continual Learning for Named Entity Recognition (CLNER) enable models to incrementally learn new entity types without forgetting previously acquired ones. However, existing methods suffer from catastrophic forgetting and… 12 arXiv — NLP / Computation & Language research 2mo ago Towards Reducing Foreign Language Anxiety Using Level-Appropriate Embodied Conversational Agents arXiv:2607.21887v1 Announce Type: cross Abstract: Foreign language anxiety (FLA) can be a major barrier to second language acquisition (SLA), especially in conversational contexts. With the proliferation of large language models (LLMs) throughout all areas of life, recent work… 29 TechCrunch — AI news-outlet 2mo ago Why Cognition bought Poke: AI personality is becoming a competitive advantage AI coding startup Cognition has acquired Poke, the AI assistant you text like a friend, in a deal valuing the startup in the low nine figures. The acquisition brings Poke’s conversational style and interaction model to Cognition’s coding agent Devin, reflecting a growing belief… 9 TechCrunch — AI news-outlet 2mo ago Midjourney acquired the astrology app Co-Star The AI lab Midjourney continues to expand its purview beyond image and video generation. 11 arXiv — Machine Learning research 2mo ago M$^3$-Gen: Interpretable Multimodal Generation of Gene Expression Profiles Using Clinical and Imaging Data arXiv:2607.21343v1 Announce Type: new Abstract: Integrating heterogeneous biomedical data, including clinical metadata, histopathology images, and molecular profiles, is crucial for comprehensive disease understanding. However, gene expression data acquisition remains… 16 arXiv — NLP / Computation & Language research 2mo ago Reliability Scales Inversely: Bigger Models Compound Mistakes Faster via a Hidden Auto-Regressive Risk Regime arXiv:2607.18292v1 Announce Type: cross Abstract: As language models scale, answers start truer but degrade faster: scaling buys capability but erodes reliability. The knowledge-gap account - more data, retrieval, or scale - misses an auto-regressive risk residual that scale… 22 TechCrunch — AI news-outlet 2mo ago The Anthropic-Physical Intelligence rumor roiling AI Twitter Anthropic and OpenAI's aggressive 2026 acquisition sprees set the stage for a weekend rumor. 23 Hugging Face Daily Papers research 2mo ago Benchmarking Sensor Robustness in Plasma Diagnostic Models: A Systematic Evaluation on TokaMark Abstract Plasma diagnostic models for tokamak fusion devices are almost universally evaluated on clean, complete sensor data. In practice, fusion diagnostics fail regularly: acquisition systems start late, individual sensors die, and signal dropouts cluster precisely when a… 13 arXiv — Machine Learning research 2mo ago Adaptive Runge-Kutta Step Control Buys Training Loss, Not Generalization: An Honest Compute-Matched Study of RK-Adam Optimizers arXiv:2607.14516v1 Announce Type: new Abstract: Interpreting optimizers as gradient-flow discretizations has motivated applying higher-order Runge-Kutta (RK) integrators to neural networks. We build a representative Adam variant (Bogacki-Shampine 3(2) RK pair, FSAL reuse,… 33 arXiv — Machine Learning research 3mo ago Clustering algorithms for multivariate wind farm SCADA data filtering arXiv:2607.13544v1 Announce Type: new Abstract: During wind farm operation, Supervisory Control and Data Acquisition (SCADA) systems record numerous anomalies, transients, and specific operational modes, leading to large datasets. However, for a wide range of applications, only… 31 arXiv — Machine Learning research 3mo ago Active Learning for Efficient Annotation of Surgical Videos with Weak Supervision arXiv:2607.13237v1 Announce Type: cross Abstract: Precise spatial-temporal annotation of laparoscopic videos is time-consuming and requires expert knowledge. We propose a human-in-the-loop knowledge acquisition framework that combines active learning with dual-loss optimization… 10 Page 3 of 6 · 256 articles ← Newer Older →
