Results 131 to 140 of about 4,258,230 (314)

Measuring Copyright Risks of Large Language Model via Partial Information Probing [PDF]

open access: yesarXiv
Exploring the data sources used to train Large Language Models (LLMs) is a crucial direction in investigating potential copyright infringement by these models. While this approach can identify the possible use of copyrighted materials in training data, it does not directly measure infringing risks.
arxiv  

Universal Hydrogel Carrier Enhances Bone Graft Success: Preclinical and Clinical Evaluation

open access: yesAdvanced Healthcare Materials, EarlyView.
TX hydrogel improves the delivery of different types of particulate bone grafts, maintaining them at the implantation sites, and resulting in favorable bone regenerative outcomes. Abstract Orthopedic, maxillofacial, and complex dentoalveolar bone grafting procedures that require donor‐site bone harvesting can be associated with post‐surgical ...
Dax Calder   +9 more
wiley   +1 more source

CopyrightShield: Spatial Similarity Guided Backdoor Defense against Copyright Infringement in Diffusion Models [PDF]

open access: yesarXiv
The diffusion model has gained significant attention due to its remarkable data generation ability in fields such as image synthesis. However, its strong memorization and replication abilities with respect to the training data also make it a prime target for copyright infringement attacks.
arxiv  

Gasotransmitters in Modern Medicine: Promises and Challenges in the Use of Porous Crystalline Carriers

open access: yesAdvanced Healthcare Materials, EarlyView.
This perspective provides an overview of the growing interest in utilizing various gasotransmitters—small gaseous signaling molecules namely nitric oxide (NO), carbon monoxide (CO), and hydrogen sulfide (H2S)—for several therapeutic applications, with emphasis on the potential use of porous materials as carriers to provide safe and controlled local ...
Rosana V. Pinto   +2 more
wiley   +1 more source

Investigating the Feasibility of Mitigating Potential Copyright Infringement via Large Language Model Unlearning [PDF]

open access: yesarXiv
Pre-trained Large Language Models (LLMs) have demonstrated remarkable capabilities but also pose risks by learning and generating copyrighted material, leading to significant legal and ethical concerns. In a potential real-world scenario, model owners may need to continuously address copyright infringement in order to address requests for content ...
arxiv  

Recent Applications of Mesoporous Silica Nanoparticles in Gene Therapy

open access: yesAdvanced Healthcare Materials, EarlyView.
The review summarizes the synthesis of mesoporous silica nanoparticles (MSNs) with modifiable surface properties, functionalization strategies, mechanism of therapeutic payload release, and current applications in gene therapy, focusing on their capabilities in the targeted delivery of therapeutic nucleic acids, CRISPR‐Cas systems, and other genetic ...
Tamanna Binte Huq   +4 more
wiley   +1 more source

Generative AI and Copyright: A Dynamic Perspective [PDF]

open access: yesarXiv
The rapid advancement of generative AI is poised to disrupt the creative industry. Amidst the immense excitement for this new technology, its future development and applications in the creative industry hinge crucially upon two copyright issues: 1) the compensation to creators whose content has been used to train generative AI models (the fair use ...
arxiv  

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