Results 81 to 90 of about 27,588 (245)

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

open access: yesAdvanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki   +2 more
wiley   +1 more source

Comparison of anonymization techniques regarding statistical reproducibility.

open access: yesPLOS Digital Health
BackgroundAnonymization opens up innovative ways of using secondary data without the requirements of the GDPR, as anonymized data does not affect anymore the privacy of data subjects.
David Pau   +6 more
doaj   +1 more source

DeepPrivacy2: Towards Realistic Full-Body Anonymization

open access: yes, 2022
Generative Adversarial Networks (GANs) are widely adapted for anonymization of human figures. However, current state-of-the-art limit anonymization to the task of face anonymization. In this paper, we propose a novel anonymization framework (DeepPrivacy2)
Lindseth, Frank, Hukkelås, Håkon
core  

Automating Chemical Reasoning in High‐Throughput Phase Identification With a Probabilistic, LLM‐Guided Framework

open access: yesAdvanced Science, EarlyView.
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi   +7 more
wiley   +1 more source

Improving MapReduce privacy by implementing multi-dimensional sensitivity-based anonymization

open access: yesJournal of Big Data, 2017
Big data is predominantly associated with data retrieval, storage, and analytics. Data analytics is prone to privacy violations and data disclosures, which can be partly attributed to the multi-user characteristics of big data environments.
Mohammed Al-Zobbi   +2 more
doaj   +1 more source

StackingNet: Collective Inference Across Independent AI Foundation Models

open access: yesAdvanced Science, EarlyView.
ABSTRACT Artificial intelligence (AI) built on large foundation models has transformed language understanding, computer vision, and reasoning, yet these systems remain isolated and cannot readily share their capabilities. Coordinating the complementary strengths of independently developed, black‐box foundation models is essential for trustworthy ...
Siyang Li   +4 more
wiley   +1 more source

A Dual‐Modal Wearable PPG Smartwatch with AI‐Enhanced Correction for High‐Accuracy and Continuous AF Burden Assessment

open access: yesAdvanced Science, EarlyView.
ABSTRACT Atrial fibrillation (AF) increases the risk of stroke and heart failure, yet accurate quantification of AF burden in daily life remains difficult. Although smartwatch photoplethysmography (PPG) supports continuous monitoring, complex rhythms and signal noise can impair burden estimation.
Song Zuo   +27 more
wiley   +1 more source

Computation and Structure‐Guided Arginine Scanning Engineers a Hyperactive AP Endonuclease for Multiplex Viral RNA Sensing

open access: yesAdvanced Science, EarlyView.
Computational and structure‐guided arginine scanning rewires the DNA‐binding interface of APE1 to create APE1‐Evo, a hyperactive yet specific AP endonuclease. Integrated into the NAPTUNE‐V2.0 cascade, APE1‐Evo enables amplification‐free, multiplex viral RNA sensing for dengue virus and influenza A/B, highlighting a general strategy for engineering ...
Junlan Wang   +20 more
wiley   +1 more source

Generative AI-Based Judicial Ruling Disclosure System Innovation: A Legal and Technological Approach to Balancing Privacy Protection and the Right to Information

open access: yesJournal of Intellectual Property
Current Korean court ruling disclosure systems inadequately balance public access and privacy regarding Artificial Intelligence (AI) owing to low disclosure rates and inefficient manual anonymization.
Eul Young Lim, MinSung Hyun
doaj   +1 more source

EDNRA Forms a Positive Feedback Loop with the Hippo/YAP Axis to Drive Triple‐Negative Breast Cancer Progression

open access: yesAdvanced Science, EarlyView.
Endothelin receptor type A (EDNRA) and the Hippo/YAP pathway form a self‐reinforcing loop that sustains triple‐negative breast cancer. EDNRA activates YAP through Gαq/11–Rho/ROCK–LATS signaling, while YAP/TEAD4 reciprocally drives EDNRA transcription.
Zehao Hong   +10 more
wiley   +1 more source

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