AI bias is when AI systems, like robots or computer programs, make unfair decisions or show favoritism.

An AI bot, or AI chatbot, is a software application that can converse with humans in their natural language.

By automating the analysis and interpretation of medical images, AI is not only enhancing diagnostic accuracy but also revolutionizing patient care.

Ensemble learning is a powerful machine learning concept that involves combining several models to produce predictions that are more robust than those of the individual models. The idea is to reduce bias and variance, making the model more flexible and less sensitive to specific data.

Artificial intelligence and saving the planet may initially appear as two distinct realms, seemingly unrelated. However, let’s embark on a fascinating exploration to unveil the potential harmony between the two.

In the sprawling landscape of AI, two subsets are making considerable waves: Generative AI and Conversational AI. Each has its unique functions, strengths, and limitations.

. One of the most exciting developments in this field is the “large language models”. You have must heard about chatgpt and google bard , these are the examples of Large language models.

According to the National Health Care Anti-Fraud Organization, healthcare fraud alone costs the US healthcare system roughly $68 billion each year. This includes unauthorized billing, medication fraud, and false claims. When the expenses of waste and abuse are included in, the entire financial toll becomes even more enormous.

Fraud, waste, and abuse (FWA) in healthcare is a significant issue that affects the efficiency and effectiveness of healthcare systems. These terms refer to unethical activities that lead to unnecessary costs and potential harm to patients.

The term “artificial intelligence” (AI) has gained popularity in the technology sector. The potential of AI to carry out difficult tasks that call for intellect akin to that of a person has made it an essential technology in today’s applications.