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Students in the MIT course 6.036 (Introduction to Machine Learning) study the principles behind powerful models that help physicians diagnose disease or aid recruiters in screening job candidates.
Superconductors have long been considered the principal approach for realizing electronics without resistivity. In the past decade, a new family of quantum materials, “topological materials,” has offe...
While working toward her dissertation in computer science at MIT, Marzyeh Ghassemi wrote several papers on how machine-learning techniques from artificial intelligence could be applied to clinical dat...
You may not be able to teach an old dog new tricks, but Cornell researchers have found a way to train physical systems, ranging from computer speakers and lasers to simple electronic circuits, to perf...
Machine-learning algorithms are often referred to as a “black box.” Once data are put into an algorithm, it’s not always known exactly how the algorithm arrives at its prediction. This can be particul...
Machine-learning system flags remedies that might do more harm than good（图）
机器学习 系统标记 机器学习模型
2023/6/21
Sepsis claims the lives of nearly 270,000 people in the U.S. each year. The unpredictable medical condition can progress rapidly, leading to a swift drop in blood pressure, tissue damage, multiple org...
As a building material, concrete withstands the test of time. Its use dates back to early civilizations, and today it is the most popular composite choice in the world. However, it’s not without its f...
Genes aren’t only inherited through birth. Bacteria have the ability to pass genes to each other, or pick them up from their environment, through a process called horizontal gene transfer, which is a ...
Last year, Charlene Xia ’17, SM ’20 found herself at a crossroads. She was finishing up her master’s degree in media arts and sciences from the MIT Media Lab and had just submitted applications to doc...
深圳大学医学部汪天富教授在《IEEE Transactions on Neural Networks and Learning Systems》上发表文章（图）
汪天富教授 深圳大学医学部 人工智能
2023/10/25
近日，深圳大学医学部生物医学工程学院汪天富教授团队的研究成果《Parameter-Free Loss for Class-Imbalanced Deep Learning in Image Classification》在人工智能领域顶级期刊IEEE Transactions on Neural Networks and Learning Systems（2020 IF: 10.451）上发表。该...
An integrated platform and meta-learner for feature engineering machine learning analysis and modeling of DNA, RNA and protein sequence data
python 工具包 蛋白质序列
2024/5/17
一个全面和通用的基于python的工具包，集成了特征提取、聚类、归一化、选择、降维、预测器构建、最佳描述符/模型选择、集成学习和DNA、RNA和蛋白质序列结果可视化的功能。用户只需要上传自己的数据集，并从中计算出自己需要的功能，所有必要的程序和优化设置都由软件自动完成。iLearn包括DNA、RNA和蛋白质的各种描述符，支持四种特征输出格式，以便于直接使用输出或与其他计算工具通信。总的来说，iLe...
A comprehensive and automated machine-learning platform for nucleic acid and protein sequence analysis, prediction and visualization
棉花 纤维品质 QTL 遗传基因组
2024/4/16
本研究在sGK9708×0-153、LMY22×LY343、鲁绵研28×新陆早24等多个重组自交系群体中通过综合考评表型变异和共有置信区间筛选主效QTL，结果表明在A04、A07、A08和D08染色体上存在重要的纤维品质相关QTL。其中，通过SGK9708×0-153群体的转录组数据在纤维长度和强度QTL中分别检测到50和48个候选基因。这些基因的共表达网络模块在多个RIL群体中的基因对之间表现出...
A Cornell-led collaboration received a $3 million grant from the U.S. Department of Energy to use machine learning to accelerate the creation of low-cost materials for solar energy.
Duchenne muscular dystrophy (DMD), a rare genetic disease usually diagnosed in young boys, gradually weakens muscles across the body until the heart or lungs fail. Symptoms often show up by age 5; as ...
Tiny machine learning design alleviates a bottleneck in memory usage on internet-of-things devices（图）
林肯实验室 图开发 研讨会 网络科学 虚假信息追踪 机器学习
2023/6/21
As the Covid-19 pandemic has shown, we live in a richly connected world, facilitating not only the efficient spread of a virus but also of information and influence. What can we learn by analyzing the...