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How are AI drones used in the military? - Ilayaraja, Trichy.
One of the primary advantages of AI drones is their ability to operate in hazardous or inaccessible environments. For instance, they can be utilized to investigate disaster zones, inspect oil rigs and wind turbines, and survey remote wilderness areas.
Drones with AI can also be used in the military. For example, they can monitor border regions, identify threats, and notify response teams. In addition, they can improve the security of military bases and the safety of soldiers during combat.
What does AI mean on echocardiogram? What are the advantages of AI in cardiology? - Abdul Rahman, UAE
Artificial intelligence (AI) technologies offer new opportunities for echocardiography to generate accurate, consistent, and automated interpretations of echocardiograms, thereby reducing the possibility of human error.
It provides new opportunities for early detection and risk assessments and aids physicians in selecting the most effective treatment for patients. Without frequent physician visits, AI algorithms can detect adverse events, track cardiac events in real time, and monitor patients at home.
Can AI be used to identify plant diseases? - Babu Ghosh, Kolkatta
Rapid and precise machine learning algorithms can detect any disease. On farms, artificial intelligence assists in diagnosing plant diseases, pests, and malnutrition, and AI sensors can detect and identify weeds. Due to the abundance of pathogens in their environment, crops are highly susceptible to various diseases.
What is responsible AI vs ethical AI? Where is responsible AI used? - Michael Thomas, Goa
Responsible AI designs, develops and deploys AI to empower employees and businesses. In contrast, Ethical AI is the branch of technology ethics that focuses on Artificial Intelligence systems.
Responsible AI practices are applicable across all industries and functions. Consider Human Resources (HR) as an illustration. By eliminating potential sources of bias, AI systems can help organizations make more ethical, effective, and efficient talent decisions.
What is AI bias? Why is AI bias a problem? - Pavithra Pandit, Delhi
Machine Learning bias, also called algorithm bias or Artificial Intelligence bias, is the tendency for algorithms to reflect human biases. It is a phenomenon that occurs when an algorithm produces systematically biased results due to incorrect Machine Learning process assumptions.
AI bias arises from humans choosing data and applying algorithm results. It is simple for unconscious biases to enter machine learning models without extensive testing and diverse teams. Then, AI automates and propagates these biased models.