27 papers · ranked by Valyu relevance
Xiang Chen, Jibin Wang, Chaoyang Gao, Xiaolin Ju + 1 more
—The rapid advancement of large language models (LLMs), represented by OpenAI's GPT series, has significantly impacted various domains such as natural language processing, software development, education, healthcare, finance, and scientific research. However, OpenAI APIs introduce unique challenges that differ from…
Philip Feldman, James R. Foulds, Shimei Pan
The recent explosion of "foundation" generative AI models has been built upon the extensive extraction of value from online sources, often without corresponding reciprocation. This pattern mirrors and intensifies the extractive practices of surveillance capitalism [46], while the potential for enormous profit has…
Ioannis D. Apostolopoulos, Mpesi Tzani, Sokratis I. Aznaouridis
The fundamental principles, potential applications, and ethical concerns of ChatGPT are analyzed and discussed in this study. Since ChatGPT emerged, it has gained a rapidly growing popularity, with more than 600 million users today. The development of ChatGPT was a significant mile-stone, as it demonstrated the…
Hanieh Alipour, Nick Pendar, Kohinoor Roy
In recent times, the grandeur of Large Language Models (LLMs) has not only shone in the realm of natural language processing but has also cast its brilliance across a vast array of applications. This remarkable display of LLM capabilities has ignited a surge in research contributions within this domain, spanning a…
WCG Peh, A Saw
Artificial intelligence (AI)-assisted technologies are here to stay and cannot be ignored. These tools are able to generate highly-realistic human-like text and perform a wide range of useful language tasks with a wide range of applications. They have the potential to expedite innovation in health care and can aid in…
Ryan Shean, Tathya Shah, Aditya Pandiarajan, Alan Tang + 3 more
'Van Nguyen' 'Benjamin Xu'] The ability of large language models (LLMs) to accurately answer medical board-style questions reflects their potential to benefit medical education and real-time clinical decision-making. With the recent advance to reasoning models, the latest LLMs excel at addressing complex problems in…
Tiffany Leung, Hongyu Miao, Hyochol Ahn
ChatGPT, a trending artificial intelligence tool developed by OpenAI, was launched in November 2022. The impact of ChatGPT on the nursing and interdisciplinary research ecosystem is profound.
Devin Ormsby Williams, Elisa Fadda
The release of text-generating applications based on interactive Large Language Models (LLMs) in late 2022 triggered an unprecedented and ever-growing interest worldwide. The almost instantaneous success of LLMs stimulated lively discussions in public media and in academic fora alike on the value and potentials of such…
Dailin Gan, Jun Li
While foundation transformer-based models developed for gene expression data analysis can be costly to train and operate, a recent approach known as GenePT offers a low-cost and highly efficient alternative. GenePT utilizes OpenAI's text-embedding function to encode background information, which is in textual form…
Pau Benito, Mikel Isla-Jover, Pablo González-Castro, Pedro José Fernández Esparcia + 7 more
Background In recent years, generative artificial intelligence and large language models (LLMs) have rapidly advanced, offering significant potential to transform medical education. Several studies have evaluated the performance of chatbots on multiple-choice medical examinations. Objective The study aims to assess the…
Chao Lung Wen
At first glance, artificial intelligence (AI) is considered a new technology (in the last 10 years), but in fact it emerged from researchers aiming to create flexible machines capable of performing tasks that require human intelligence. John McCarthy, Marvin Minsky, and Allen Newell coined the term and presented it at…
Aurore Crouzet, Nicolas Lopez, Benjamin Riss Yaw, Yves Lepelletier + 2 more
'Luc Demange' 'Igor Marques'] The journey of drug discovery (DD) has evolved from ancient practices to modern technology-driven approaches, with Artificial Intelligence (AI) emerging as a pivotal force in streamlining and accelerating the process. Despite the vital importance of DD, it faces challenges such as high…
Zhichu Ren, Zhen Zhang, Yunsheng Tian, Ju Li
Autonomous laboratories were previously controlled mainly by scripting languages such as Python, limiting their usage among experimentalists. The recent release of OpenAI's ChatGPT API's function calling feature has enabled seamless integration and execution of Python subroutines in experimental workflows using voice…
Zhichu Ren, Zhen Zhang, Yunsheng Tian, Ju Li
Autonomous laboratories were previously controlled mainly by scripting languages such as Python, limiting their usage among experimentalists. The recent release of OpenAI's ChatGPT API's function calling feature has enabled seamless integration and execution of Python subroutines in experimental workflows using voice…
Authors not listed
Scientific modeling often requires navigating a trade-off between physical interpretability and empirical accuracy—a task that can take weeks of iteration, especially in systems with partial observability, structural complexity, and experimental errors. Here, we show how a state-of-the-art agentic reasoning-and-coding…
José R Penadés, Juraj Gottweis, Lingchen He, Jonasz B Patkowski + 9 more
AI models have been proposed for hypothesis generation, but testing their ability to drive high-impact research is challenging, since an AI-generated hypothesis can take decades to validate. Here, we challenge the ability of a recently developed LLM-based platform, AI co-scientist, to generate high-level hypotheses by…
Gerard R. Lazo, Devadharshini Ayyappan, Parva K. Sharma, Vijay K. Tiwari
Provided here is a study of large language models (LLMs) and retrieval augmented generation (RAG) frameworks in air-gapped environments for genome research on small grain crops. We developed two main applications: (1) a RAG-based system for contextual analysis of scientific literature, collecting over 5,000 PDFs on…
Authors not listed
Bioprocess engineering has incorporated effective AI applications in recent years that consist of traditional approaches to training models on relevant data to then analyze and predict new and unseen data. The missing component has been the ability to process mixed data from an assortment of dissimilar information…
Christopher West, Yi Wang
Topics in radiation, such as radiology and nuclear energy usage, are rife with speculation, opinion, and misconception, posing potential risks to public health and safety if misunderstandings are left uncorrected. Achieving objective and unbiased discussion is therefore critical for advancing the field of radiation…
Authors not listed
Paclitaxel, C47H51NO14, biosynthesis is an active area of research due to ongoing progress towards more sustainable and environmentally friendly production of the drug compound. Recent literature details the characterization of enzymes that play a role in synthesis, optimization of growth media, and RNA related…
Virginia Gonzalez, Tristan Yang, Sebastian Bassi
The General Feature Format (GFF) is widely used to represent genomic annotations, but its hierarchical, multi-attribute structure makes manual querying and analysis challenging. Existing libraries such as gffutils provide programmatic interfaces, yet they require coding proficiency. gffutilsAI is a novel AI-powered…
Mahyar Abbasian, Iman Azimi, Amir M Rahmani, Ramesh Jain
The Orchestrator is the openCHA agent core, which is responsible for problem-solving, planning, executing actions, and providing an appropriate response based on the user query. It incorporates the concept of the Perceptual Cycle Model32 in openCHA, allowing it to perceive, transform, and analyze the world (ie, input…
Markus Orsi, Jean-Louis Reymond
Antimicrobial peptides (AMPs) are naturally occurring or designed peptides up to a few tens of amino acids which may help address the antimicrobial resistance crisis. However, their clinical development is limited by toxicity to human cells, a parameter which is very difficult to control. Given the similarity between…
Authors not listed
Natural language processing with the help of large language models such as ChatGPT has become ubiquitous in many software applications and allows users to interact even with complex hardware or software in an intuitive way. The recent concepts of Self-Driving Labs and Material Acceleration Platforms stand to benefit…
Kevin Kawchak
Large Multimodal Models (LMMs) possess the ability to analyze chemical spectra of an organic compound using state of the art conversational AI. These outputs can then be chained together and introduced as a text input for other LLMs or LMMs to predict the compound name. Here, a challenging 15 carbon molecule problem…
Jorge Guerra Pires
Introduction: deep learning emerged in 2012 as one of the most important machine learning technologies, reducing image identification error from 25% to 5%. This article has two goals: 1) to demonstrate to the general public the ease of building state-of-the-art machine learning models without coding expertise; 2) to…
Melanie Mitchell
Since its beginning in the 1950s, the field of artificial intelligence has cycled several times between periods of optimistic predictions and massive investment ("AI spring") and periods of disappointment, loss of confidence, and reduced funding ("AI winter"). Even with today's seemingly fast pace of AI breakthroughs…