Researchers have combined low-power chip design, machine learning algorithms, and soft implantable electrodes to produce a neural interface that can identify and suppress symptoms of various neurological disorders. — ScienceDaily

Mahsa Shoaran of the Integrated Neurotechnologies Laboratory in the School of Engineering collaborated with Stéphanie Lacour in the Laboratory for Soft Bioelectronic Interfaces to develop NeuralTree: a closed-loop neuromodulation system-on-chip…

Meta Open-Sources Holistic Trace Analysis (HTA): A Performance Analysis Tool That is Fully Scalable to Support State-of-the-Art Machine Learning ML Workloads

Machine learning and deep learning models perform remarkably on various tasks thanks to recent technological developments. However, this outstanding performance is not without a cost. Machine learning models often require…

Machine learning method improves cell identity understanding — ScienceDaily

When genes are activated and expressed, they show patterns in cells that are similar in type and function across tissues and organs. Discovering these patterns improves our understanding of cells…

Hand washing fabrics reduces microplastic release compared with machine washing — ScienceDaily

From tiny plankton to massive whales, microplastics have been found throughout the ocean food chain. One major source of this pollution are fibers shed while laundering synthetic fabrics. Although many…

Machine learning approach helps hit 100% prediction rate — ScienceDaily

A research team led by Tao Sun, associate professor of materials science and engineering at the University of Virginia, has made new discoveries that can expand additive manufacturing in aerospace…

Researchers demonstrate new sensors by creating novel health monitoring, machine interface devices — ScienceDaily

Researchers at North Carolina State University have developed a stretchable strain sensor that has an unprecedented combination of sensitivity and range, allowing it to detect even minor changes in strain…

Using machine learning to better understand how water behaves — ScienceDaily

Water has puzzled scientists for decades. For the last 30 years or so, they have theorized that when cooled down to a very low temperature like -100C, water might be…

The study found that machine learning techniques improved diet prediction by 10-20% — ScienceDaily

When it comes to studying food and diet, it’s difficult to know what people are eating — let alone their risk of disease caused by what they eat. Doctors and…

Short-term local predictions of COVID-19 in the United Kingdom using dynamic supervised machine learning algorithms

Overview Our primary objective was to develop data-driven machine-learning models for 1-, 2- and 3-week ahead predictions of growth rates in the COVID-19 cases (defined as 1-, 2- and 3-week…

Using machine learning, researchers find patterns in electronic health record data to better identify those likely to have the condition — ScienceDaily

A research team supported by the National Institutes of Health has identified characteristics of people with long COVID and those likely to have it. Scientists, using machine learning techniques, analyzed…