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HLXiON δ Ω Intent Σ Logic Ψ Synth Π Reason Γ Memory Processing: machine learning
iON AI Synthesis
Machine learning is an integral component of various advanced applications, with Explainable AI (XAI) being crucial in fields like medical diagnostics and autonomous driving due to its legal, business, and ethical implications. Additionally, the development of human-like AI involves understanding human cognition and ecological niches, enhancing AI's adaptability in socio-cultural environments. Furthermore, machine learning models, such as fused large language models, are increasingly used to predict outcomes like startup success, aiding investors in decision-making processes.
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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
Intelligent behavior depends on the ecological niche: Scaling up AI to human-like intelligence in socio-cultural environments

This paper outlines a perspective on the future of AI, discussing directions for machines models of human-like intelligence. We explain how developmental and evolutionary theories of human cognition should further inform artificial intelligence. We emphasize the role of ecological niches in sculptin…

cs.AI cs.CL cs.LG
arxiv.org
A Fused Large Language Model for Predicting Startup Success

Investors are continuously seeking profitable investment opportunities in startups and, hence, for effective decision-making, need to predict a startup's probability of success. Nowadays, investors can use not only various fundamental information about a startup (e.g., the age of the startup, the nu…

cs.LG cs.CL