Artificial intelligence (AI) has transformed the business landscape and changed how we work. Its capability to automate tasks, analyze extensive datasets efficiently and provide concise business insights facilitates both the speed and quality of business operations.
Researchers led by Prof. Li Nuo from the Xinjiang Institute of Ecology and Geography of the Chinese Academy of Sciences have developed a method to simulate the concentrations of unmeasured geochemical elements in rock and stream sediment samples.
Machine learning is a multibillion-dollar business with seemingly endless potential, but it poses some risks. Here's how to avoid the most common machine learning mistakes.
AI has been reshaping various sectors, from automobiles to healthcare. The industry is experiencing tremendous growth, with no signs of slowing down. While AI c
In the modern era, artificial intelligence (AI) has rapidly evolved, giving rise to highly efficient and scalable architectures. Vasudev Daruvuri, an expert in AI systems, examines one such innovation in his research on Mixture of Experts (MoE) architecture.
In this digital era, machine learning transforms cardiovascular disease (CVD) management by enhancing prediction accuracy, adapting to evolving medical data, and optimizing treatment. Vikas Nelamangala’s research explores innovations in temporal data simulation and drift-resilient models,
A large-scale analysis has revealed independently validated gut biomarkers that can distinguish patients with inflammatory bowel disease from healthy control individuals.
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Feature selection is a critical process in ML that helps eliminate irrelevant or redundant variables, leading to better generalization and model efficiency. The study proposes a Hybrid Feature Selection (HFS) algorithm,
Machine learning models scan the history and real-time data within the cloud for patterns as well as outliers to denote potential system failures. According to an IDC study, organizations that have implemented AI-powered monitoring reported a 25% reduction in unplanned outages and thus improved significantly in reliability and customer confidence.
Thanks to its capacity to detect patterns and stay consistent, machine learning is a great tool for CNS behaviour studies.
Arup Datta at Mackenzie Investments uses a strategy to select stocks based on a combination of growth and value