Zobrazeno 1 - 10
of 152
pro vyhledávání: '"TOMLINSON, BILL"'
Modern Reinforcement Learning (RL) algorithms are able to outperform humans in a wide variety of tasks. Multi-agent reinforcement learning (MARL) settings present additional challenges, and successful cooperation in mixed-motive groups of agents depe
Externí odkaz:
http://arxiv.org/abs/2401.12258
Artificial Intelligence (AI) is poised to enable a new leap in the creation of scholarly content. New forms of engagement with AI systems, such as collaborations with large language models like GPT-3, offer affordances that will change the nature of
Externí odkaz:
http://arxiv.org/abs/2305.11058
Recent advances in artificial intelligence (AI) have raised questions about whether the use of AI is appropriate and legal in various professional contexts. Here, we present a perspective on how scholars may approach writing in conjunction with AI, a
Externí odkaz:
http://arxiv.org/abs/2305.03722
Autor:
Torrance, Andrew W., Tomlinson, Bill
To learn how to behave, the current revolutionary generation of AIs must be trained on vast quantities of published images, written works, and sounds, many of which fall within the core subject matter of copyright law. To some, the use of copyrighted
Externí odkaz:
http://arxiv.org/abs/2305.03720
Autor:
Torrance, Andrew W., Tomlinson, Bill
Over the past half century, there have been several false dawns during which the "arrival" of world-changing artificial intelligence (AI) has been heralded. Tempting fate, the authors believe the age of AI has, indeed, finally arrived. Powerful image
Externí odkaz:
http://arxiv.org/abs/2305.03719
In the past several years, scientists have issued a series of warnings about the threats of climate change and other forms of environmental disruption. Here, we provide a scientists' warning on how technology affects these issues. Technology simultan
Externí odkaz:
http://arxiv.org/abs/2304.11271
As AI systems proliferate, their greenhouse gas emissions are an increasingly important concern for human societies. We analyze the emissions of several AI systems (ChatGPT, BLOOM, DALL-E2, Midjourney) relative to those of humans completing the same
Externí odkaz:
http://arxiv.org/abs/2303.06219
Autor:
Ren, Shaolei1 (AUTHOR) shaolei@ucr.edu, Tomlinson, Bill2,3 (AUTHOR) wmt@uci.edu, Black, Rebecca W.2 (AUTHOR), Torrance, Andrew W.4,5 (AUTHOR)
Publikováno v:
Scientific Reports. 11/1/2024, Vol. 14 Issue 1, p1-8. 8p.
Autor:
Tomlinson, Bill, Black, Rebecca W.
The COVID-19 pandemic has changed the ways many people use computational systems. We conducted an empirical study, using qualitative and quantitative analyses of free-response surveys completed by 62 US residents, to explore how COVID-19 affected the
Externí odkaz:
http://arxiv.org/abs/2101.07388