Results 41 to 50 of about 172,695 (155)

On logic and generative AI

open access: yes
A hundred years ago, logic was almost synonymous with foundational studies. The ongoing AI revolution raises many deep foundational problems involving neuroscience, philosophy, computer science, and logic. The goal of the following dialog is to provoke young logicians with a taste for foundations to notice the foundational problems raised by the AI ...
Gurevich, Yuri, Blass, Andreas
openaire   +2 more sources

On creative practice and generative AI:Co-shaping the development of emerging artistic technologies [PDF]

open access: yes
In recent years, advances in artificial intelligence (AI) and machine learning have given rise to powerful new tools and methods for creative practitioners. 2022–2023 in particular saw an explosion in generative AI tools, models and use cases. Noting the
Black, Suzanne R.   +3 more
core   +1 more source

Generative AI in Cybersecurity

open access: yes
The dawn of Generative Artificial Intelligence (GAI), characterized by advanced models such as Generative Pre-trained Transformers (GPT) and other Large Language Models (LLMs), has been pivotal in reshaping the field of data analysis, pattern recognition, and decision-making processes.
Metta, Shivani   +4 more
openaire   +2 more sources

Unpacking Bias, Accountability, and Ethical Practices in AI [PDF]

open access: yes
This study is based on understanding how text-to-image generative AI platforms perpetuate biases such as racism and sexism and decoding how this bias is programmed within large language models and datasets. In this study, the results of generative AI are
Chandra, Manya, Hebron, Micol
core   +1 more source

Generative AI is not Magic [PDF]

open access: yes
Although the capabilities of large language models are astonishing and exceed the expectations most researchers had about the potential of language modeling, these models are not complete black boxes, and the principles of how these systems work are not too difficult to understand.
openaire   +1 more source

Generative AI as a Tool for Thematic Analysis: An Exploratory Study with ChatGPT [PDF]

open access: yes
Artificial intelligence (AI) has seen rapid development in recent years and has increasingly been applied to various fields. Research is no exception. However, there is much to be explored in this domain.
Joel-Edgar, Sian, Pan, Yu-Chun
core   +1 more source

STAGER checklist: Standardized testing and assessment guidelines for evaluating generative artificial intelligence reliability [PDF]

open access: yes
Generative artificial intelligence (AI) holds immense potential for medical applications, but the lack of a comprehensive evaluation framework and methodological deficiencies in existing studies hinder its effective implementation.
Ali, Stephen   +34 more
core   +2 more sources

The Impact of Generative Artificial Intelligence

open access: yes, 2023
The rise of generative artificial intelligence (AI) has sparked concerns about its potential influence on unemployment and market depression. This study addresses this concern by examining the impact of generative AI on product markets.
Kwon, Ohchan, Xiong, Hui, Zhang, Kaichen
core  

Generative AI Systems: A Systems-based Perspective on Generative AI

open access: yes
Large Language Models (LLMs) have revolutionized AI systems by enabling communication with machines using natural language. Recent developments in Generative AI (GenAI) like Vision-Language Models (GPT-4V) and Gemini have shown great promise in using LLMs as multimodal systems.
openaire   +2 more sources

Platformer Generation AI

open access: yes, 2016
Kremengine is a game engine written from scratch in C++14. It supports both 3D and 2D. We made our own engine so we could have maximum control of the level generation algorithm and reduce time it take to test things as we knew how everything worked. There is a lot of different ways to approach the task we set for ourselves.
Somby, Christer Peltoperä   +3 more
openaire   +1 more source

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