Intellectual Property

arXiv:2603.06138v1 Announce Type: new Abstract: Reinforcement learning is a framework for learning to act sequentially in an unknown environment. We propose a natural approach for modeling policy structure in policy gradients. The key idea is to optimize for a subset...

arXiv:2603.06153v1 Announce Type: new Abstract: Accurate regional ocean forecasting requires models that are both computationally efficient and capable of representing predictive uncertainty. This work investigates ensemble learning strategies for sea surface temperature (SST) forecasting using Graph Neural Networks (GNNs), with...

arXiv:2603.06212v1 Announce Type: new Abstract: Differential diagnosis among parkinsonian syndromes remains a clinical challenge due to overlapping motor symptoms and subtle gait abnormalities. Accurate differentiation is crucial for treatment planning and prognosis. While gait analysis is a well established approach...

arXiv:2603.06224v1 Announce Type: new Abstract: Wearable sensors with local data processing can detect health threats early, enhance documentation, and support personalized therapy. In the context of spinal cord injury (SCI), which involves risks such as pressure injuries and blood pressure...

arXiv:2603.06242v1 Announce Type: new Abstract: Model merging aims to integrate multiple task-adapted models into a unified model that preserves the knowledge of each task. In this paper, we identify that the key to this knowledge retention lies in maintaining the...

Most of it is tied to performance, including new stock incentives linked to Waymo and Wing, its drone delivery venture.

For a document that is usually found behind glass casing in museums and galleries, many have taken advantage of the ability to carry it in their purse, wallet—or better yet—their pocket. The US Constitution is one of the oldest and...

Abstract As Artificial Intelligence (AI) systems evolve from classical to hybrid classical-quantum architectures, traditional notions of security—mainly centered on technical robustness—are no longer sufficient. This study aims to provide an integrated security ethics compliance framework that bridges technical and ethical...

Advocates of algorithmic techniques like data mining argue that these techniques eliminate human biases from the decision-making process. But an algorithm is only as good as the data it works with. Data is frequently imperfect in ways that allow these...

This paper divides the application of AI in education into three categories, namely, students-oriented AI, teachers-oriented AI and school mangers -oriented AI, which focuses on the individualized self-adaptive learning of students, the assisted teaching of teachers and the service management...

Algorithmic fairness has attracted significant attention in recent years, with many quantitative measures suggested for characterizing the fairness of different machine learning algorithms. Despite this interest, the robustness of those fairness measures with respect to an intentional adversarial attack has...

This paper examines the evolution of legal personhood and explores whether historical precedents—from corporate personhood to environmental legal recognition—can inform frameworks for governing artificial intelligence (AI). By tracing the development of persona ficta in Roman law and subsequent expansions of...

Cultural legal investigations of the nexus between law, culture and society are crucial for developing our understanding of how the relationships between humans and artificially intelligent entities (AIE) will evolve along with the technology itself. However, narratives of artificial intelligence...

AI standardization promises to support the implementation of EU legislation and promote the rapid transfer,transparency, and interoperability of this massively disruptive technology. However, apart from well-known practical difficulties stemming from the unique probabilistic nature and the rapid development of AI...

AI in education is not only a challenging area of technical development and educational innovation, but increasingly the focus of critical analysis informed by the social sciences, philosophy and theory. This chapter provides an overview of critical perspectives on AI...

The problem of finding a feedback law that drives the state of a linear discrete-time system to the origin in minimum-time subject to state-control constraints is considered. Algorithms are given to obtain facial descriptions of the <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">M</tex> -step...

The article discusses the features of international legal regulation of the development and application of artificial intelligence and robotics in the world. The focus of international organizations on maintaining an optimal balance between the interests of society and the state...

Predicting outcomes of legal cases may aid in the understanding of the judicial decision-making process. Outcomes can be predicted based on i) case-specific legal factors such as type of evidence ii) extra-legal factors such as the ideological direction of the...

The purpose of this article is to identify the normative gaps in the legal regulation of the use of artificial intelligence technology and related systems, as well as to identify the degree of need for a more comprehensive legal regulation....

A cybernetic avatar (CA) is a concept that encompasses not only avatars representing virtual bodies in cyberspace but also information and communication technology (ICT) and robotic technologies that enhance the physical, cognitive, and perceptual capabilities of humans. CAs can enable...

This article examines Ayinde v London Borough of Haringey; Al-Haroun v Qatar National Bank [2025] EWHC 1383 (Admin), a landmark High Court judgment addressing the use of generative artificial intelligence (GenAI) in legal practice. The case arose when counsels submitted...

The article is devoted to the international regulation on artificial intelligence influence on the Information Law of Ukraine. It was noted that the principles of regulation of artificial intelligence should be reflected in the Information Law of Ukraine. Based on...

Abstract Background Considering the disruptive potential of AI technology, its current and future impact in healthcare, as well as healthcare professionals’ lack of training in how to use it, the paper summarizes how to approach the challenges of AI from...

This article delves into the legal challenges faced in developing and deploying Natural Language Processing (NLP) technologies, focusing particularly on the European Union’s legal framework, especially the DSM Directive, the InfoSoc Directive, and the Artificial Intelligence Act. It addresses the...

This chapter confronts the foundational challenges posed to legal theory and legal philosophy by the rise of computational ‘law’. Two types will be distinguished, noting that they can be combined into hybrid systems. On the one hand, the use of...

Abstract As the efficacy of artificial intelligence (AI) in improving aspects of healthcare delivery is increasingly becoming evident, it becomes likely that AI will be incorporated in routine clinical care in the near future. This promise has led to growing...

Abstract This paper describes CLIME, a web-based legal advisory system with a multilingual natural language interface. CLIME is a ‘proof-of-concept’ system which answers queries relating to ship-building and ship-operating regulations. Its core knowledge source is a set of such regulations...

Purpose This paper aims to investigate the legal challenges arising from the increasing integration of artificial intelligence (AI) within the financial industry. It examines issues such as data privacy, cyber security, fraud and consumer protection, as well as ethical concerns...