Pace
PulseAugur coverage of Pace — every cluster mentioning Pace across labs, papers, and developer communities, ranked by signal.
- 2026-09-10 research_milestone Researchers introduced PACE, a backpropagation-free continual test-time adaptation system that achieves state-of-the-art accuracy and reduces runtime by over 50%. source
- 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
8 day(s) with sentiment data
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New PACE system precisely grounds AI-generated film previsualization
Researchers have introduced PACE (Precise AI Cinematic Expression), a new typed representation system designed to bridge the gap between screenplays and film previsualization. PACE allows for detailed, hierarchical decl…
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AI Researchers Demand Pace of AI Development Amid Safety Concerns · 2 sources tracked
A group of prominent AI researchers, including Geoffrey Hinton and Yoshua Bengio, are calling for a pause or slowdown in the development of advanced AI systems. They cite concerns about the potential risks and existenti…
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New PACE framework enhances multimodal embedding models
Researchers have developed PACE, a novel two-stage framework designed to improve multimodal embedding models. This framework addresses the limitations of existing cosine-based contrastive objectives by progressively exp…
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New PACE framework slashes dialogue serving latency and filler conflicts
Researchers have developed PACE, a framework designed to improve the efficiency and quality of retrieval-augmented dialogue systems. PACE formalizes Perceived Time-to-First-Response (PTFR) as a key objective and uses a …
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New PACE system optimizes AI adaptation with 50% runtime reduction
Researchers have developed PACE, a new system for backpropagation-free continual test-time adaptation that optimizes normalization layer parameters. This method uses the Covariance Matrix Adaptation Evolution Strategy w…
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New PACE method enhances robot sim-to-real transfer using proprioception
Researchers have developed a new method called PACE (Proprioception-Anchored Cross-Modal Encoder) to improve the transfer of reinforcement learning policies from simulation to real-world robotics tasks. PACE leverages p…
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New PACE method enhances personalized federated graph learning
Researchers have developed PACE, a novel method for personalized federated graph learning that addresses client heterogeneity. PACE treats collaborative knowledge as a compact correction to a local model rather than a r…
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New dataset PACE and PaceMaker framework tackle hidden conflicts in AI assistants
Researchers have introduced PACE, a new dataset designed to evaluate personalized AI assistants' ability to identify hidden conflicts between user requests and contextual information. Existing models struggle with this …
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Insurance adjusters express strong negative sentiment towards AI integration · 5 sources tracked
Insurance claims adjusters are expressing significant dissatisfaction with the increasing integration of AI into their profession. Many view AI tools as error-prone and burdensome, leading to misclassified claims and in…
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New agentic framework automates publisher-specific content extraction for LLMs
Researchers have developed PACE, an agentic framework designed to automate the extraction of publisher-specific content for LLM data pipelines. PACE learns extraction configurations from sample pages and user requiremen…
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PACE framework accelerates VLM inference by optimizing vision encoder and LLM
Researchers have introduced PACE, a novel training-free framework designed to accelerate the inference speed of Vision-Language Models (VLMs). PACE addresses limitations in existing methods by optimizing both the vision…
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New benchmark PACEShop evaluates AI shopping assistants
Researchers have introduced PACEShop, a new benchmark dataset and evaluation protocol designed to assess personalized, actionable, compositional, and evidence-grounded shopping assistants. This benchmark addresses the l…
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New PACE framework optimizes RAG by balancing reranking and generation bottlenecks
Researchers have developed PACE, a new framework designed to optimize retrieval-augmented generation (RAG) systems by addressing bottlenecks in both reranking and generation stages. Unlike previous methods that focused …
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New frameworks enhance AI video reasoning efficiency and accuracy
Researchers are developing advanced methods for video reasoning in large language models, aiming to improve efficiency and accuracy. Apple's Internalized Visual Thinking (IVT) framework trains models to predict future v…
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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…