Topological descriptors of foot clearance gait dynamics improve differential diagnosis of Parkinsonism
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...
DC-Merge: Improving Model Merging with Directional Consistency
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...
Google just gave Sundar Pichai a $692M pay package
Most of it is tied to performance, including new stock incentives linked to Waymo and Wing, its drone delivery venture.
Geometric Conservation Law and Its Application to Flow Computations on Moving Grids
Boundary-conforming coordinate transformations are used widely to map a flow region onto a computational space in which a finite-difference solution to the differential flow conservation laws is carried out. This method entails difficulties with maintenance of global conservation and with...
When Hard Cases Make Bad Law: A Theory of How Case Facts Affect Judge-Made Law
“Hard cases make bad law” is one of the most famous aphorisms in Anglo-American law. Its insight is that when strict application of a generally sound law would impose a special hardship on someone, a court may be tempted to...
Algorithmic and Non-Algorithmic Fairness: Should We Revise our View of the Latter Given Our View of the Former?
Abstract In the US context, critics of court use of algorithmic risk prediction algorithms have argued that COMPAS involves unfair machine bias because it generates higher false positive rates of predicted recidivism for black offenders than for white offenders. In...
Information Theory and Statistical Mechanics
Information theory provides a constructive criterion for setting up probability distributions on the basis of partial knowledge, and leads to a type of statistical inference which is called the maximum-entropy estimate. It is the least biased estimate possible on the...
Beyond Personhood
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...
What’s Left of the New Deal State?
New Deal Law and Order: How the War on Crime Built the Modern Liberal State. By Anthony Gregory. Harvard University Press. 2024. Pp. 473. $45. Introduction A vast body of scholarship situates itself in the…The postWhat’s Left of the New...
Geometric conservation laws for flow problems with moving boundaries and deformable meshes, and their impact on aeroelastic computations
A ‘biased’ emerging governance regime for artificial intelligence? How AI ethics get skewed moving from principles to practices
Artificial intelligence, the common good, and the democratic deficit in AI governance
Abstract There is a broad consensus that artificial intelligence should contribute to the common good, but it is not clear what is meant by that. This paper discusses this issue and uses it as a lens for analysing what it...
Principles alone cannot guarantee ethical AI
Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy
The relationship between infrared, optical, and ultraviolet extinction
view Abstract Citations (9701) References (43) Co-Reads Similar Papers Volume Content Graphics Metrics Export Citation NASA/ADS The Relationship between Infrared, Optical, and Ultraviolet Extinction Cardelli, Jason A. ; Clayton, Geoffrey C. ; Mathis, John S. Abstract The parameterized extinction data...
Big Data�s Disparate Impact
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...
Standard Structure of Legal Provisions -For The Legal Knowledge Processing by Natural Language-
Pervasive Computational Law
Computational law has its limits—whether these come from the very nature of the law itself or from technical limitations. By reviewing these limits, two conclusions become clear: That interdisciplinary solutions are a must, and that only a subset of law...
This Is Vanderbilt
1 Collectively striving to succeed Immersive Learning Benefit from close-knit residential education and experiential learning in the classroom and beyond. Integrated Research Working across institutions, Vanderbilt bridges disciplines to solve the great challenges of our time. Collaborative Discovery Collaborative culture...
Proportional Possession
American eviction proceedings are governed by a fusion of property and contract law. The law’s narrow understanding of eviction ignores the importance of a dwelling place to its occupants. Property is not merely land or a structure on that land;...
Predicting risk in criminal procedure: actuarial tools, algorithms, AI and judicial decision-making
Risk assessments are conducted at a number of decision points in criminal procedure including in bail, sentencing and parole as well as in determining extended supervision and continuing detention orders of high-risk offenders. Such risk assessments have traditionally been the...
Artificial Intelligence and Intellectual Property Rights — A Copyright Perspective
Exacerbating Algorithmic Bias through Fairness Attacks
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...
Direito e inteligência artificial: desafios da regulação da IA no Sistema Judiciário Brasileiro
This article analyzes the challenges of regulating Artificial Intelligence (AI) in the Brazilian judicial system, considering the constitutional, ethical, and normative principles that guide the use of technologies within the Judiciary. The research examines the normative evolution promoted by the...
AI & Intellectual Property: Towards an Articulated Public Domain
<i>Ab initio</i> statistical thermodynamical models for the computation of third-law entropies
Third-law gas-phase statistical entropies are computed for a variety of closed-shell singlet state species using standard formulae based upon canonical partition functions. Molecular parameters are determined ab initio, and sensitivity analyses are performed to determine expected accuracies. Several choices for...
Introduction
The legal profession is facing an era of change driven by technological advancements, environmental crises, shifting client expectations, and evolving societal norms. This article argues that flexibility and resilience are not just positive personality traits but essential legal skills that...
Beijing Internet Court recognizes copyright in AI-generated image
Abstract In the initial instance involving artificial intelligence (AI)-generated images in China, the Beijing Internet Court determined that AI-generated images are considered protectable works, and the AI user is recognized as the author.