Reinforcement Learning (RL) is a branch of machine learning that has garnered significant attention in recent years due to its remarkable applications in robotics. Unlike traditional supervised learning, where models learn from labeled data, RL agents learn through interaction with an environment and receiving feedback in the form of rewards. This unique approach has led to groundbreaking advancements in robotics across various domains. One of the most notable applications of RL in robotics is in the field of autonomous vehicles. RL agents can be trained to control self-driving cars, drones,…
Read MoreDay: August 4, 2023
AI Ethics: Ensuring Fairness and Accountability in AI Systems
As AI technologies become increasingly integrated into our lives, concerns surrounding AI ethics have grown in significance. AI systems, particularly machine learning models, heavily rely on data for their decision-making processes. If this data is biased or unrepresentative, it can lead to unfair outcomes and perpetuate existing social biases. Therefore, ensuring fairness and accountability in AI systems has become a critical aspect of AI development and deployment. One of the major challenges in AI ethics is the issue of bias in data and its impact on AI models. Biases present…
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