Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global population. It is characterized by a persistent low mood, disruptions in typical ...
Artificial intelligence (AI) is changing the way we work in healthcare, but its real strength isn’t in replacing people. It’s in supporting them. AI isn’t here to take over what clinicians or ...
This transcript was prepared by a transcription service. This version may not be in its final form and may be updated. Announcer: From the opinion pages of The Wall Street Journal, this is Free ...
Artificial Intelligence has reached a point where machines don’t just follow instructions—they “pick up” patterns and behaviors by watching examples, much like humans do. This phenomenon is known as ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...
Department of Electronics Communication Engineering, SRM Institute of Science and Technology, Vadapalani Campus, Chennai, India Introduction: Early and accurate detection of crop stress is vital for ...
1 School of Taxation and Public Administration, Shanghai Lixin University of Accounting and Finance, Shanghai, China. 2 School of Business, Computing and Social Sciences, University of Gloucestershire ...
Abstract: Financial crime is increasingly facilitated by technology and globalization, demanding advanced IT tools for detection. This paper presents an approach to automate the detection of ...
The growing demand for energy-efficient Wireless Sensor Networks (WSNs) in applications such as IoT, environmental monitoring, and smart cities has sparked exhaustive research into practical solutions ...
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