Claims Browser

The established BPMN standard faces challenges when representing dynamic, context-sensitive interactions in conversational AI

"the established Business Process Model and Notation (BPMN) standard faces challenges when representing dynamic, context-sensitive interactions"

Event-based object classification using Spiking Neural Networks on neuromorphic devices can solve issues of size, weight, power consumption, security, latency, and connectivity present in conventional frame-based computer vision approaches

"The use of Spiking Neural Networks (SNNs) hosted on neuromorphic devices attempts to solve several issues present in this conventional approach."

Visual text error correction requires profound understanding of the interplay between visual text and its surrounding visual context

"which requires a profound understanding of the interplay between visual text and its surrounding visual context"

What drives confident LLM action is not information content but the authority of information packaging

"What unlocks confident action is not information but the authority of its packaging."

Deployment of LLMs needs to account for both the trainability of the act/don't-act gate and its context-fragility

"The gate is trainable and context-fragile, and deployment needs both halves of that sentence."

Temporal coverage in Earth observation foundation models is a tunable cost rather than a fixed prerequisite, enabling near-real-time mapping and faster refresh cycles

"Our study shows that temporal coverage is therefore a tunable cost rather than a fixed prerequisite, opening regimes such as near-real-time mapping and faster land-use/land-cover refresh cycles."

Explicit acoustic evidence aggregation through an Audio Twin framework provides a more controllable interface for diagnosing and improving speech-grounded reasoning

"explicit acoustic evidence aggregation provides a more controllable interface for diagnosing and improving speech-grounded reasoning"

Transcript-based shortcuts represent an important failure mode in spoken dialogue understanding that current models struggle with

"These results identify transcript-based shortcuts as an important failure mode in spoken dialogue understanding"

The efficiency-calibration patterns observed are robust across different pretrained initializations but do not demonstrate external clinical generalizability

"Similar efficiency-calibration patterns were observed using the public VoCo checkpoint, supporting robustness across pretrained initializations rather than external clinical generalizability"

LLM capability in EDA accumulates through three hierarchical roles: Generator, Agent, and Orchestrator

"we instead define three hierarchical roles that reveal how capability accumulates: a Generator that produces design artifacts in a single pass, an Agent that refines outputs through iterative tool feedback, and an Orchestrator that coordinates decisions across EDA-stages."

Enterprise AI deployment is fundamentally a coordination problem across multiple organizational functions including business units, application teams, AI teams, testing, platform engineering, infrastructure, security, operations, and data governance.

"Enterprise AI deployment is a coordination problem across business units, application and AI teams, testing, platform engineering, infrastructure, security, operations, and data governance."

A runtime architecture based on four responsibility objects (Skill, Harness, Scaffold, and external data substrate) can serve as shared organizational contracts for enterprise AI deployment.

"We present four responsibility objects as shared organizational contracts: Skill (reusable, versioned capability and workflow asset), Harness (runtime compiler and governor), Scaffold (execution/control boundary and NFR owner), and a stack-external data substrate under independent CIO-governed semantics and telemetry."

Within a declared operating region, it is possible to achieve cost-aware capability-capacity separability where changing activated capability preserves capacity-response interaction within a preregistered equivalence margin, and changing compatible Scaffold capacity preserves capability semantics up to a non-inferiority margin.

"within a declared operating region, changing activated capability preserves the capacity-response interaction within a preregistered equivalence margin, while changing compatible Scaffold capacity preserves capability semantics up to a non-inferiority margin, and the required controls stay within a declared enforcement budget."

A cluster-period randomized crossover experiment with balanced order, reset/washout, repeated seeds and failure regimes can produce a four-state verdict (supported, falsified, conditional-engineering, or inconclusive) for testing the cost-aware capability-capacity separability hypothesis.

"We propose a cluster-period randomized crossover experiment (balanced order, reset/washout, repeated seeds and failure regimes, cluster-aware uncertainty) with a four-state verdict: supported, falsified, conditional-engineering, or inconclusive."

Advanced plant characterization requires the integration of active physiological sensing modalities such as chlorophyll fluorescence beyond image-based measurements

"advanced plant characterization requires the integration of active physiological sensing modali- ties such as chlorophyll fluorescence"

The proposed robotics system opens new directions for autonomous agricultural inspection and plant-aware manipulation

"the proposed system provides a robotics-driven approach to high-resolution plant phenotyping and opens new directions for autonomous agricultural inspection and plant-aware manipulation"

Relying solely on lexical similarity between source code and bug reports is often insufficient for bug localization due to the natural language nature of bug descriptions

"In addition, relying solely on lexical similarity between source code and bug reports is often insufficient due to the natural language nature of bug descriptions."

Automated lesion-burden tracking shows promise but is not yet validated as a clinical tool, with predictions tracking biomarkers less strongly out-of-domain than in-domain

"Predictions track clinical biomarkers outside the training distribution, though less strongly than in-domain -- evidence for, not validation of, automated lesion-burden tracking as a clinical tool."

This finding enables practical applications including model stitching, merging, and modular multilingual systems built from monolingual components

"this points to practical future directions including model stitching, merging, and modular multilingual systems built from monolingual components"