News
AI-based prediction of train-induced environmental vibration with limited measurements
3+ hour, 31+ min ago (380+ words) This study presents a transfer learning'based method for predicting train-induced environmental vibration. The method applies data fusion to combine physics-based numerical simulations and limited measurement data within a neural network. It reduces the heavy reliance of conventional machine learning'based models…...
New machine learning method refines peach fruit quality trait analysis
1+ mon, 4+ day ago (627+ words) This study leverages advanced genomics and machine learning to refine the understanding of key fruit quality traits in peaches. Using whole-genome resequencing data from an F1 progeny of two distant peach cultivars, the researchers constructed an ultra-high-density genetic map, identifying key…...
American Physical Society to launch new open access journal on AI and machine learning in scientific research
1+ mon, 3+ week ago (192+ words) PRX Intelligence will publish high-impact research on artificial intelligence and machine learning that advances the physical sciences image:The American Physical Society is launching PRX Intelligence, a highly selective open access journal that will welcome manuscripts on AI and machine…...
Artificial intelligence can improve psychiatric diagnosis
1+ mon, 3+ week ago (218+ words) Using large language models (LLMs) is one approach to analysing language-mediated illness descriptions. The team used the LLMs GPT-3, Llama and BERT to analyse both the structure and content of four clinical questionnaires. The study was based on data from…...
Causal machine learning reveals the impact of renewables on electricity prices
2+ mon, 2+ day ago (135+ words) image:Comparison of raw correlations (dashed) and causal effects (solid) of wind on UK day-ahead prices. Lines show the price change (GBP/MWh) from +1 GWh of predicted wind for the delivery hour across penetration levels; shading shows 80% CIs. Results reveal…...
Machine learning identify promising COFs for helium purification.
2+ mon, 1+ week ago (283+ words) Credit: Zenan Shi, et al. Helium is a valuable gas that plays crucial roles in a large variety of modern industry or scientific research, including low-temperature superconductivity, nuclear magnetic resonance, semiconductor manufacturing, and aerospace applications. It is extremely scarce and…...
Machine learning takes biochar dye cleanup to the next level
2+ mon, 1+ week ago (378+ words) Credit: Chong Liu, Paramasivan Balasubramanian, Xuan Cuong Nguyen, Jingxian An, Sai Praneeth, Pengyan Zhang & Haiming Huang Industrial dyes used in textiles, plastics, paper, and cosmetics make wastewater vividly colored and potentially toxic. Many of these dyes resist normal treatment, threatening…...
Order from disordered proteins
3+ mon, 1+ week ago (536+ words) Researchers at Harvard and Northwestern have developed a machine learning method that can design intrinsically disordered proteins with custom properties, addressing nearly 30% of all human proteins that are currently out of reach of AI tools like AlphaFold. The new approach…...
Machine learning sharpens earthquake risk assessment maps for Tokyo
3+ mon, 2+ week ago (147+ words) Researchers train a model to accurately predict soil properties and the risk of soil liquefaction in high-resolution 3D maps image:This map depicts the predicted types of soil in Tokyo with an unprecedented level of detail. Such maps are essential for…...
Multi-omics machine learning can detect ALS 10 years before symptom appears
3+ mon, 2+ week ago (782+ words) image:Multi-Omics Mechine Learning Can Detect ALS 10 Years Before Symptom Appears view more Anew studyapplying multi-omics techniques and machine learning identified 33 plasma proteins that differ significantly in patients with amyotrophic lateral sclerosis (ALS). The findings suggest ALS could be detected…...