VolumeMatic is an Apple Vision Pro natural language text to interactive volume app creator app, utilizing the “chat to create" motif. The user can easily create 3D using various AI3D creation ...methods, such as text to 3D and image to 3D from different models and providers, utilizing an abstractified AI3D multimodal API. We utilize object detected and semantic relations among different HCI elements to enable natural language interactive spatial computing app creation. The app hopes to launch an AI3D Foundation to help accelerate the advancement and impact of AI for 3D and interactive content (AI3D). We also present the AI3D Benchmark Card to quickly summarize the results from different models, with a ground truth mesh.
Aggression refers to a wide range of behaviors with lasting individual and societal consequences. Recurrent, unplanned aggressive behavior is the core diagnostic criterion for intermittent explosive ...disorder (IED). In this study, we compared two behavioral measures of aggression in the laboratory: the Taylor Aggression Paradigm (TAP) and the Point‐Subtraction Aggression Paradigm (PSAP). This sample (n = 528) included community participants who met DSM‐5 criteria for IED (n = 156), met DSM‐5 criteria for a nonaggressive psychiatric disorder (n = 205), or did not meet DSM‐5 criteria for any psychiatric disorder (n = 167). All participants completed the TAP, a single‐session PSAP, and relevant self‐report measures. MANOVA analyses demonstrated differences between IED participants and nonaggressive participants; however, these group differences were no longer significant for the PSAP after including demographic variables. Correlation analyses found that the TAP and PSAP were positively related to one another and the composite variables associated with aggressive behavior (i.e., history of aggression, impulsivity, and propensity to experience anger) and; dependent correlations revealed that past aggression and trait anger were more strongly related to the TAP. Differences in TAP and PSAP outcomes may be partially attributed to operationalizations of aggression and methods of aggression and provocation. Further, as aggressive and nonaggressive participants differed on the PSAP somewhat mirroring the TAP, our results add to growing evidence of the validity of a single‐session PSAP; further research is needed to fully establish single‐session PSAP as a laboratory aggression task compared to the multi‐session PSAP.
The keyword of ecology today stands like no other paradigmatic for the perception of urgency, action and commitment. The demands for commitment as a new attitude are negotiated both in the practice ...of art and validated in dealing with it. The entanglement between production and reception is complex and mutually charged, not least through the joint participation in a discourse that is less characterized by the specificity of the individual areas and more by interdisciplinary models of thought. So my short contribution does not want to understand »commitment« and »ecology« as terms of demarcation, but to discuss their paradigmatic potential in the sense of a challenge. The questions about the consequences of the "ecological imperative" for the self-understanding of culture and about the revisions of art historical models and curatorial practice seem more exciting than a normative codification. The pathetic tone that sounds in such a formulation is certainly one of the problems of a reflection that refers to larger contexts, even to planetary orders and geological epochs (»deep time«), and wants to create new world interpretations beyond the presence of humans. Art history can also be completely dazed by so many demands in the diligent reception of philosophical lines of thought.In the following, I would like to pick out individual »attitudes« in our subject, which I am convinced illustrate the challenges, opportunities and difficulties of art history as a discipline in the humanities. Art history shows itself both as a historical science and in dialogue with current artistic demands and strategies.
Rather than introducing radical new "grand theory" paradigms, most theory contributions in strategic management extend, clarify, or apply received theories in new and interesting ways. Here we offer ...a guide on how to make these kinds of contributions to theory. Theory usually begins with a research question, which can come from the phenomenon of interest, variations/limitations of existing theory, or intellectual creativity. Along with the question, there are a number of more craftsmanship-level aspects of a theory where contributions can be made: the mode of theorizing, the level of analysis, an understanding of the underlying phenomenon, causal mechanisms, constructs and variables, and boundary conditions. These aspects of the theory lead to a set of outcomes in the form of explanations, predictions, or prescriptions. The articles in this special issue are interpreted through our framework as illustrations of this approach to making theory contributions.
The reflection on university management is based on the question about the shape of universities of the future. Civic, responsible, sustainable, virtual, digital, and many other universities can be ...mentioned among the concepts present in the literature. All these names describe an important distinctive feature of a university, which will gain more and more importance in the future. However, given the fundamental importance of the radical change taking place, it seems that the most appropriate name, reflecting the essence of the emerging new formation, is ""digital university."" This is because of the importance of digital transformation, which has been developing for several decades, bringing deep and multidirectional changes in the areas of technology, economy, society, and culture. It is a disruptive civilizational transition and, although stretched over many decades, it is revolutionary in nature, significantly changing our lives in the Anthropocene. The book has three cognitive and pragmatic objectives: to provide a new perspective on the changing academic organization and management; to reflect on higher education management concepts and methods; and to present an overview of university management, governance, and leadership, useful from the perspective of academic managers, and other stakeholders.
Can a generative model be trained to produce images from a specific domain, guided only by a text prompt, without seeing any image? In other words: can an image generator be trained "blindly"? ...Leveraging the semantic power of large scale Contrastive-Language-Image-Pre-training (CLIP) models, we present a text-driven method that allows shifting a generative model to new domains, without having to collect even a single image. We show that through natural language prompts and a few minutes of training, our method can adapt a generator across a multitude of domains characterized by diverse styles and shapes. Notably, many of these modifications would be difficult or infeasible to reach with existing methods. We conduct an extensive set of experiments across a wide range of domains. These demonstrate the effectiveness of our approach, and show that our models preserve the latent-space structure that makes generative models appealing for downstream tasks. Code and videos available at: stylegan-nada.github.io/
A radical shift in orientation alongside the objects of archaeology has occasioned a reconsideration of what theory is in a very general sense. What function does it serve and how might we define it? ...In retrospect, these questions arise not in the context of paradigms and strong theories, which some consider to have run their course, but in their absence. Here, there is a danger that theory might be jettisoned altogether if its nature and purpose are not critically re-assessed. The modest goal of this paper is to join in on this conversation.
Humans working with autonomous artificially intelligent systems may not be experts in the inner workings of their machine teammates, but need to understand when to employ, trust, and rely on the ...system. A critical challenge is to develop machine agents with the capacity to understand their own capabilities and limitations, and the ability to communicate this information to human partners. Self-assessment is an emerging field that tackles this challenge through the development of algorithms that enable autonomous agents to understand and communicate their competency. These methods can engender appropriate trust and align human expectations with autonomous assistant abilities. However, current research in self-assessment is dispersed across many fields, including artificial intelligence, robotics, and human factors. This survey connects work from these disparate areas and reviews state-of-the-art methods for algorithmic self-assessments that enable autonomous agents to estimate, understand, and communicate valuable information pertaining to their competency, with focus on methods that can improve interactions within human-machine teams. To better understand the landscape of self-assessment approaches, we present a framework for categorizing work in self-assessment based on underlying algorithm type: test-based, learning-based, or knowledge-based. We synthesize common features across these approaches and discuss relevant future directions for research in this emerging space.
Despite its astounding success in learning deeper multi-dimensional data, the performance of deep learning declines on new unseen tasks mainly due to its focus on same-distribution prediction. ...Moreover, deep learning is notorious for poor generalization from few samples. Meta-learning is a promising approach that addresses these issues by adapting to new tasks with few-shot datasets. This survey first briefly introduces meta-learning and then investigates state-of-the-art meta-learning methods and recent advances in: (i) metric-based, (ii) memory-based, (iii), and learning-based methods. Finally, current challenges and insights for future researches are discussed.
IntroductionPatients with schizophrenia have deficits in contextual vision. However, results are often very mixed. In some paradigms, patients do not take the context into account and therefore act ...more veridically than healthy controls. In other paradigms, context impairs performance in patients more strongly than in healthy controls. These mixed results may be explained by differences in paradigms, as well as by small or biased samples, given the large heterogeneity of the disease.ObjectivesTo understand if there are general contextual deficits in schizophrenia.Methods17 schizophrenia patients and 16 age-matched controls were tested with a combined crowding and uncrowding paradigm.ResultsSchizophrenia patients show qualitatively similar crowding performance as controls. In the uncrowding condition, however, patientsimproved less than controls. We suggest that performance in the various paradigms depends on idiosyncratic aspects of the paradigm in addition to the heterogeneity of the disease.ConclusionsThere are no general impaired mechanisms in schizophrenia. Deficits depend strongly on idiosyncrasies of the specific stimuli.Disclosure of InterestNone Declared
