J Scott Christianson
J Scott Christianson
The advent of easy-to-use large language models (LLMs) such as ChatGPT has started an arms race in academia between students who use AI and faculty trying to detect that use. This unproductive battle must end, and faculty can help broker pe...
Yinqi Bai,Clayton W Kosonocky,James Z Wang
Yinqi Bai
Scientific writing is an essential skill for researchers to publish their work in respected peer-reviewed journals. While using AI-assisted tools can help researchers with spelling checks, grammar corrections, and even rephrasing of paragra...
Exploring the reversal curse and other deductive logical reasoning in BERT and GPT-based large language models [0.03%]
探究BERT和GPT等大型语言模型中的逆向诅咒和其他演绎逻辑推理能力
Da Wu,Jingye Yang,Kai Wang
Da Wu
The "Reversal Curse" describes the inability of autoregressive decoder large language models (LLMs) to deduce "B is A" from "A is B," assuming that B and A are distinct and can be uniquely identified from each other. This logical failure su...
The reanimation of pseudoscience in machine learning and its ethical repercussions [0.03%]
机器学习领域伪科学的复活及其伦理影响
Mel Andrews,Andrew Smart,Abeba Birhane
Mel Andrews
The present perspective outlines how epistemically baseless and ethically pernicious paradigms are recycled back into the scientific literature via machine learning (ML) and explores connections between these two dimensions of failure. We h...
Gale M Lucas,Burcin Becerik-Gerber,Shawn C Roll
Gale M Lucas
With the exponential rise in the prevalence of automation, trust in such technology has become more critical than ever before. Trust is confidence in a particular entity, especially in regard to the consequences they can have for the trusto...
Ali Burak Ünal,Nico Pfeifer,Mete Akgün
Ali Burak Ünal
The complexity and cost of training machine learning models have made cloud-based machine learning as a service (MLaaS) attractive for businesses and researchers. MLaaS eliminates the need for in-house expertise by providing pre-built model...
Andrew L Hufton
Andrew L Hufton
Parham Pourdavood,Michael Jacob
Parham Pourdavood
Multidimensional reconstruction of brain attractors from electroencephalography (EEG) data enables the analysis of geometric complexity and interactions between signals in state space. Utilizing resting-state data from young and older adult...
Highly accurate and precise determination of mouse mass using computer vision [0.03%]
基于计算机视觉的老鼠体重高精度测量方法
Malachy Guzman,Brian Q Geuther,Gautam S Sabnis et al.
Malachy Guzman et al.
Changes in body mass are key indicators of health in humans and animals and are routinely monitored in animal husbandry and preclinical studies. In rodent studies, the current method of manually weighing the animal on a balance causes at le...
Generating realistic neurophysiological time series with denoising diffusion probabilistic models [0.03%]
使用去噪扩散概率模型生成真实的神经生理时间序列
Julius Vetter,Jakob H Macke,Richard Gao
Julius Vetter
Denoising diffusion probabilistic models (DDPMs) have recently been shown to accurately generate complicated data such as images, audio, or time series. Experimental and clinical neuroscience also stand to benefit from this progress, as the...