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HLXiON δ Ω Intent Σ Logic Ψ Synth Π Reason Γ Memory Processing: stat.ML
iON AI Synthesis
The search results for "stat.ML" highlight diverse applications of machine learning across various fields. The importance of innovation in the tourism industry is emphasized due to its economic impact and competition. Additionally, Explainable Artificial Intelligence (XAI) is crucial for transparency in critical applications, while AI's role in generative design and multilingual audio processing showcases its expanding utility in design and language processing. Lastly, the challenges of software development in startups are discussed, underscoring the need for tailored engineering solutions in early-stage companies.
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arxiv.org
Determinants of the Propensity for Innovation among Entrepreneurs in the Tourism Industry

Tourism's increasing share of Gross Domestic Product throughout the world, its impact on employment and its continuous growth justifies the interest it raises amongst entrepreneurs and public authorities. However, this growth coexists with intense competition; as a result of which, tourism companies…

econ.GN
arxiv.org
Study on the Helpfulness of Explainable Artificial Intelligence

Explainable Artificial Intelligence (XAI) is essential for building advanced machine learning-powered applications, especially in critical domains such as medical diagnostics or autonomous driving. Legal, business, and ethical requirements motivate using effective XAI, but the increasing number of d…

cs.HC cs.AI
arxiv.org
Augmented Computational Design: Methodical Application of Artificial Intelligence in Generative Design

This chapter presents methodological reflections on the necessity and utility of artificial intelligence in generative design. Specifically, the chapter discusses how generative design processes can be augmented by AI to deliver in terms of a few outcomes of interest or performance indicators while …

cs.AI cs.CE
arxiv.org
The TCG CREST -- RKMVERI Submission for the NCIIPC Startup India AI Grand Challenge

In this report, we summarize the integrated multilingual audio processing pipeline developed by our team for the inaugural NCIIPC Startup India AI GRAND CHALLENGE, addressing Problem Statement 06: Language-Agnostic Speaker Identification and Diarisation, and subsequent Transcription and Translation …

cs.SD
arxiv.org
Software Development in Startup Companies: The Greenfield Startup Model

Software startups are newly created companies with no operating history and oriented towards producing cutting-edge products. However, despite the increasing importance of startups in the economy, few scientific studies attempt to address software engineering issues, especially for early-stage start…

cs.SE
arxiv.org
The entrepreneurial logic of startup software development: A study of 40 software startups

Context: Software startups are an essential source of innovation and software-intensive products. The need to understand product development in startups and to provide relevant support are highlighted in software research. While state-of-the-art literature reveals how startups develop their software…

cs.SE
arxiv.org
Towards understanding startup product development as effectual entrepreneurial behaviors

Software startups face with multiple technical and business challenges, which could make the startup journey longer, or even become a failure. Little is known about entrepreneurial decision making as a direct force to startup development outcome. In this study, we attempted to apply a behaviour theo…

cs.CY
arxiv.org
Predicting Startup-VC Fund Matches with Structural Embeddings and Temporal Investment Data

This study proposes a method for predicting startup inclusion, estimating the probability that a venture capital fund will invest in a given startup. Unlike general recommendation systems, which typically rank multiple candidates, our approach formulates the problem as a binary classification task t…

cs.CE cs.SI
arxiv.org
Software development in startup companies: A systematic mapping study

Context: Software startups are newly created companies with no operating history and fast in producing cutting-edge technologies. These companies develop software under highly uncertain conditions, tackling fast-growing markets under severe lack of resources. Therefore, software startups present an …

cs.SE
arxiv.org
Invasive species, extreme fire risk, and toxin release under a changing climate

Mediterranean ecosystems such as those found in California, Central Chile, Southern Europe, and Southwest Australia host numerous, diverse, fire-adapted micro-ecosystems. These micro-ecosystems are as diverse as mountainous conifer to desert-like chaparral communities. Over the last few centuries, h…

q-bio.PE physics.bio-ph