Machine learning, with its ability to analyze large datasets and identify patterns, is particularly well-suited to address the challenges presented by the vast and complex data generated in ...

Technologies grouped under big data, artificial intelligence and machine learning are impacting virtually every aspect of life today. More importantly for the U.S. military and for the companies in ...

Breast cancer is one of the most prevalent cancers with an increasing trend in both incidence and mortality rates in Iran. Survival analysis is a pivotal measure in setting appropriate care plans. To ...

Despite the large prevalence of diseases affecting cartilage (e.g. knee osteoarthritis affecting 16% of population globally), no curative treatments are available because of the limited capacity of ...

The hydrologic system is subjected unprecedented stresses and increasing demands driven by climate variabilities, landuse changes, groundwater ...

Forbes contributors publish independent expert analyses and insights. Making wealth creation easy, accessible and transparent. Artificial intelligence is the ability of a computer to handle complex ...

Machine learning components are enabling advances in self-driving cars, the power grid, and robotic medicine, but what are the implications for safety? Decades of research and practice in safety ...

From cyber operations to disinformation, artificial intelligence extends the reach of national security threats that can target individuals and whole societies with precision, speed, and scale. As the ...

Machine learning is powering most of the recent advancements in AI, including computer vision, natural language processing, predictive analytics, autonomous systems, and a wide range of applications.

The July 2021 issue of IEEE/CAA Journal of Automatica Sinica features six articles that showcase the potential of machine learning in its various forms. The applications described in the studies range ...

Choosing flexible hardware for DNN architectures for apps like ATM camera systems. How "embeddings" can be effective in the image-recognition reidentification process. How Arcturus Networks developed ...

Data scientists and machine learning scientists have similar roles, but a machine learning scientist specializes in researching and implementing complex algorithms. Like machine learning engineers, ...