Future Use

Deep learning has the potential to revolutionize a variety of industries. Deep learning will be essential in the healthcare industry for personalizing treatment programs, accelerating drug discovery, and making disease diagnoses with unmatched precision. Deep learning will be heavily utilized by autonomous vehicles to facilitate safer and more effective navigation. Advanced conversational AI will emerge from natural language processing (NLP), and robotics will develop into a more sophisticated and adaptive technology. Deep learning will be used in the banking sector for customer service, fraud detection, and risk assessment. Deep learning’s capacity to analyze enormous information will be useful for environmental monitoring and conservation initiatives. Hyper-realistic simulations and individualized content recommendations will be possible in entertainment and games.

Through real-time data analysis, manufacturing will optimize procedures and quality control. Precision farming and crop management will be seen in agriculture. Drug research will speed up, and energy grid efficiency will increase. While cybersecurity will rely on deep learning to identify and stop threats, educational models based on deep learning will enhance students learning experiences. These will also be beneficial in factories and automation of various instruments and potential lifesaving mechanisms like the ones used by researchers to detect crashes in tunnels in Korea. (Lee & Shin, 2019)

In addition to revolutionizing sectors, these advancements also present significant ethical and societal issues that must be resolved for proper societal integration.