Pace
PulseAugur coverage of Pace — every cluster mentioning Pace across labs, papers, and developer communities, ranked by signal.
- 2026-07-13 research_milestone Researchers introduced PACE, an AI system for personalized 9-1-1 call-taker training, demonstrating significant improvements in training efficiency and mastery. source
- 2026-05-27 funding NYC-based Pace, an AI company automating insurance operations, raised $46 million in Series B funding led by Thrive and Sequoia at a $375 million valuation. source
- 2026-05-27 funding Pace raised $46 million in Series B funding co-led by Thrive Capital and Sequoia Capital, valuing the company at $375 million. source
- 2026-05-25 research_milestone A new research paper introduces the PACE framework for self-evolving small language model agents. source
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New PACE middleware improves LLM voice dialogue context accuracy
Researchers have developed PACE, a new middleware layer designed to improve the context management in full-duplex voice dialogue systems. This system addresses Generative Context Mis-anchoring (GCM), a problem where use…
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New research explores memory-augmented evolution for code optimization
Two new research papers propose novel approaches to enhance evolutionary algorithms for code optimization and automated algorithm design. EvoMem introduces a persistent memory architecture to capture and reuse successfu…
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New PACE framework accelerates embodied AI planning by interleaving reasoning and execution
Researchers have developed PACE (Planning with Adaptive Cognitive Effort), a new framework designed to make reasoning-enhanced large language models more practical for embodied systems by addressing prohibitive inferenc…
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Coros updates watches with Garmin-like live tracking and sleep insights
Coros has released a significant update for its Pace, Apex, and Vertix watch series, enhancing features like live tracking, sleep analysis, and heart rate data presentation. The new live tracking feature, similar to Gar…
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New database FakeIDet3-DB targets AI-driven ID forgery detection
Researchers have introduced FakeIDet3-DB, a new database designed to improve the detection of forged identity documents. This database includes both traditional and generative AI-driven manipulations on real, government…
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LLMs applied to algorithmic trading for optimized order execution
Researchers have developed PACE (Plan-Ahead Controlled Execution), a novel framework that utilizes large language models (LLMs) for parent-order execution in algorithmic trading. This approach aims to optimize the split…
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New PACE method enhances UAV relative localization accuracy
Researchers have developed a new method called Polar Axis-Conditioned Estimation (PACE) to improve relative localization for Unmanned Aerial Vehicles (UAVs). Traditional methods treat heading and range as homogeneous co…
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Ponsport launches AI sports coach robot Aura with multi-sport support
Ponsport has launched Aura, an all-in-one AI sports coach robot designed to cater to a wider audience beyond just tennis players. This new device integrates an AI Coach system that provides real-time feedback and guidan…
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New research highlights CoT inefficiency and overconfidence in LLMs and VLMs
Researchers have identified inefficiencies in Chain-of-Thought (CoT) prompting for large language models (LLMs), where valid but redundant reasoning steps increase computational costs without improving accuracy. A new d…
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AI system PACE personalizes 9-1-1 call-taker training
Researchers have developed PACE, a Personalized Adaptive Curriculum Engine designed to improve training for 9-1-1 call-takers. This AI co-pilot system addresses the challenge of training a large number of individuals on…
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SkillAudit framework evolves LLM agent skills without ground-truth feedback
Researchers have developed SkillAudit, a novel framework designed to evolve agent skills for LLMs without requiring ground-truth feedback. This method utilizes paired trajectory auditing, where a task is executed with a…
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Open-source PACE tool automates content analysis with parallel LLM batching
An open-source Streamlit application called PACE has been developed to automate the analysis of various content types, including research papers, videos, and articles. The pipeline ingests content from five sources, cle…
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New ML methods model cell trajectories using interaction and geometry
Two new research papers introduce advanced machine learning techniques for inferring cellular development trajectories from single-cell RNA sequencing data. CellBRIDGE uses interaction-aware alignment to model ligand-re…
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AI firm Pace raises $46M Series B at $375M valuation
Pace, an AI company focused on automating insurance operations, has secured $46 million in Series B funding led by Thrive and Sequoia, reaching a $375 million valuation. The funding round highlights significant activity…
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AI insurance automation firm Pace raises $46M at $375M valuation
Pace, an AI startup focused on automating insurance back-office tasks, has secured $46 million in Series B funding. The company utilizes AI agents capable of interacting with legacy systems to process insurance claims w…
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PACE framework enables small language models to self-evolve
Researchers have developed PACE, a novel framework for enabling small language model (SLM) agents to self-evolve without requiring model weight updates or access to frontier models. This two-timescale approach separates…
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PACE framework enhances single-cell trajectory inference with geometry-aware transport
Researchers have developed PACE, a new framework for single-cell trajectory inference that addresses the inherent ill-posed nature of reconstructing cellular dynamics from time-course snapshots. PACE utilizes a geometry…
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SpecTM: Spectral Targeted Masking for Trustworthy Foundation Models
Researchers have developed SpecTM, a novel physics-informed masking technique for foundation models used in Earth observation. This method enhances trustworthiness by enforcing physical constraints, particularly for pre…
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PiCSRL method enhances adaptive sensing for high-dimensional data
Researchers have developed PiCSRL, a novel Physics-Informed Contextual Spectral Reinforcement Learning method designed to improve adaptive sensing in high-dimensional, low-sample-size environments. This approach integra…
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New research explores ensemble models for improved AI performance and robustness
Two new research papers introduce novel methods for improving ensemble models in machine learning. The first, PACE, combines pruning and compression techniques to create more efficient and interpretable ensembles, outpe…