TL;DR
It is concluded that robust research prioritization should combine LLM’s analytical speed with diverse expert perspectives to ensure equitable and comprehensive agenda setting, and that while a large language model (LLM) can accelerate the generation of candidate research agendas, it cannot substitute for inclusive, context-sensitive expert validation.
Desertification and a lack of fertile land are two of today’s most critical challenges,requiring rapid response. These difficulties provide enormous challenges to global agriculturalproductivity, as the quality of conventional pastures deteriorates, emphasizing the vital need toinvestigate alternate choices. This study...
Artificial intelligence (AI) is now being used as a core technology in global climate change mitigation efforts, with evidence showing that AI data-center cooling optimization reduced energy use by 40 percent in data centers, the share of renewables in the grid increased from around 27 to 29 percent between 2019 and 20...
This research evaluates three LLM-based approaches---direct zero-shot prompting, a staged workflow, and a multi-agent system---with six open-weight models to extract data from the intercropping literature, achieving the highest mean similarity-adjusted F1 of 0.577.
Microforests (also called mini forests or tiny forests) are increasingly recognized as a promising nature-based solution for mitigating urban challenges such as flooding, biodiversity loss, air pollution, and the heat island effect. Despite their rapid global adoption, practitioners have limited access to practical, ev...
It is argued that while AI has a “democratizing effect” in making research tasks less costly and more convenient for scholars worldwide, it simultaneously increases skill requirements, efficiency pressures and thresholds for what counts as valuable data and knowledge.
Artificial intelligence (AI) is routinely presented as transformative for the several hundred million people in South Asia whose food security depends on farms of less than two hectares, yet the claims made on its behalf have advanced faster than the evidence behind them. This review critically examines what is known a...
GPT-Lab
· gpt-lab.eu
Oct 8, 2026
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research.
An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.
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