Over the last ten or fteen years there has been a shift, in generative linguistics , away from formalisms based on a procedural interpretation of grammars towards constraint-based formalisms|formalisms that deene languages by specifying a set of constraints that characterize the set of well-formed structures analyzing the strings in the language. A natural extension of this trend is to deene th...

A commentary on Labels, cognomes and cyclic computation: an ethological perspective by Murphy, E. Murphy (2015) seeks to gain insight into the phylogeny of the human language faculty by adopting a computational perspective. After surveying the ethology literature in an attempt to isolate what is lacking in other species at the computational level, Murphy claims that the process of Labeling, wel...

Artificial intelligence (AI) has finally reached most people on our planet thanks to generative AI tools for text and other media. This started a controversy about the possible benefits risks, where responsible is key. Hence, we introduce concept of AI, its relation ethics, why terms ethical or trustworthy should not be used. We then cover three main relevant aspects this new field: principles ...

QCD-jets at the LHC are described by simple physics principles. We show how super-resolution generative networks can learn underlying structures and use them to improve resolution of jet images. test this approach on massless fat top-jets find that network reproduces their main features even without training pure samples. In addition, we a slim architecture be constructed once have control full...

Recent advancements in generative artificial intelligence (AI) have made it possible for machines to independently produce a variety of creative content. In the context producing content, this essay examines developments, difficulties, and ethical issues relating AI. It looks into how models, such Generative Adversarial Networks (GANs) Variational Auto encoders (VAEs), can realistic artwork lik...

In the previous chapter (Tenenbaum, Griffiths, & Niyogi, this volume), we introduced a framework for thinking about the structure, function, and acquisition of intuitive theories inspired by an analogy to the research program of generative grammar in linguistics. We argued that a principal function for intuitive theories, just as for grammars for natural languages, is to generate a constrained ...

Analyzing generative group activities against the backdrop of an increasingly connected world, this theory development paper introduces the concept of "generative collectives" as a new framework for classifying internet-based collectives and a novel theoretical lens for explaining why some internet-based groups are more generative than others. Generative collectives are groups of people with sh...

Background and Aim: Numerous efforts over the past century have been performed. Various innovation techniques are increasingly gaining attention and gradually established the foundation of recent significant developments in the world of neurosurgery, among which varied stereotactic neuro-navigation designs and other novel emerging systems are being quotidian developed. This narrative review ai...

Classical approaches to learn classifiers for structured objects (e.g., images, sequences) use generative models in a standard Bayesian framework. To exploit the state-of-the-art performance of discriminative learning, while also taking advantage of generative models of the data, generative embeddings have been recently proposed as a way of building hybrid discriminative/generative approaches. ...