Data from microplastic analyses can inform health recommendations and policy decisions. Machine learning is one tool researchers have started using. I am a machine learning researcher. With a team of ...
For decades, artificial intelligence has excelled at spotting patterns in data. Machine learning models can predict customer behavior, forecast market trends, or identify medical risks with high ...
Sticking to an exercise routine is a challenge many people face. But a research team is using machine learning to uncover what keeps individuals committed to their workouts. Sticking to an exercise ...
Antibiotic resistance continues to be a worldwide problem. Researchers are use AI computer modeling to help design new compounds. The Conversation — Antibiotic resistance is a growing public health ...
Torgny Fornstedt describes how machine learning can work in practice for oligonucleotide analysis.
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Integrative exome sequencing and machine learning identify new genes contributing to systemic sclerosis risk
Systemic sclerosis (SSc) is a severe autoimmune disease with complex genetic causes. Some genetic contributors have been identified, but others remain unknown, which has impeded development of ...
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MIT Researchers Use Machine Learning to Identify Sustainable Alternatives to Cement Production
MIT researchers have developed a machine learning framework that can identify sustainable natural and industrial materials to partially replace cement, offering a scalable path to significantly reduce ...
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