The rapid adoption of large language models (LLMs) has led to significant advances in
natural language processing and text generation. However, the energy consumed through …

This essay responds to the call for exploring the wider societal risks and impacts of
generative AI, particularly its environmental costs. Through a review of the available …

The rising demand for generative large language models (LLMs) poses challenges for
thermal and power management in cloud datacenters. Traditional techniques often are …

The enormous growth of AI computing has led to a surging demand for electricity. To stem
the resulting energy cost and environmental impact, this paper explores opportunities …

This paper studies learning-augmented decentralized online convex optimization in a
networked multi-agent system, a challenging setting that has remained under-explored. We …

The sharply increasing sizes of artificial intelligence (AI) models come with significant
energy consumption and environmental footprints, which can disproportionately impact …

The surging demand for AI has led to a rapid expansion of energy-intensive data centers,
impacting the environment through escalating carbon emissions and water consumption …

本文深入探討人工智慧(AI) 於實現共同福祉與幸福, 公平與非歧視, 理性公共討論及自主與控制
之倫理與正義重要性與挑戰. 以中央研究院LLM 事件及國家科學技術委員會(NSTC) AI …

The skyrocketing demand for artificial intelligence (AI) has created an enormous appetite for
globally deployed power-hungry servers. As a result, the environmental footprint of AI …

The rapid adoption of Large Language Models (LLMs) has furthered natural language
processing and helped text generation, question answering, and sentiment analysis …