Polymers, such as plastics, are essential in many aspects of life and industry, from packaging and cars to medical devices ...

Large-scale protein and gene profiling have massively expanded the landscape of cancer-associated proteins and gene mutations ...

Researchers developed an AI debiasing technique that improves the fairness of a machine-learning model by boosting its performance for subgroups that are underrepresented in its training data, while ...

Implementing machine learning in HR requires strategic alignment between your organizational needs and algorithmic ...

Recent research reveals that household items, including upholstery and fabrics commonly used in furniture, can emit chemical ...

Researchers developed a system that converts AI explanations into narrative text that can be more easily understood by users. This system could help people determine when to trust a model's ...

Risk detection plays a crucial role in care management and can potentially influence the progression of the disease.

While AI systems can become tools for attackers facilitating sophisticated and automated attacks such as phishing and malware ...

Researchers use machine learning to identify behavioral disruptions in Alzheimer’s disease mouse models, highlighting a ...

Machine-learning models can fail when they try to make predictions for individuals who were underrepresented in the datasets ...

Neural Architecture Search (NAS) is revolutionizing AI by automating the complex design of neural networks, a task ...

New machine learning-based screening method is 98 pc effective in detecting the earliest sign of breast cancer, according to ...