Entradas

Bibliography

Chowdhury, M. (2021, agosto 11).  The evolution of artificial intelligence: Past, present & future . Analytics Insight. https://www.analyticsinsight.net/artificial-intelligence/the-evolution-of-artificial-intelligence-past-present-future Daniel. (2022, agosto 10).  Inteligencia artificial : definición, historia, usos, peligros . Formación en ciencia de datos | Datascientest.com; DataScientest. https://datascientest.com/es/inteligencia-artificial-definicion Enhancing everyday life: How AI is revolutionizing your daily experience . (s/f). Morgan.edu. Recuperado el 23 de mayo de 2024, de https://www.morgan.edu/ceamls/news/enhancing-everyday-life-how-ai-is-revolutionizing-your-daily-experience How is AI applied in everyday life?  (s/f). Caltech Science Exchange. Recuperado el 23 de mayo de 2024, de https://scienceexchange.caltech.edu/topics/artificial-intelligence-research/artificial-intelligence-everyday-life-uses Kennedy, B. (2023, febrero 15).  Public awareness of artificial intelli

Uses daily lives

  ·                     Smart Homes: AI-driven systems can transform our living spaces. Imagine your home adjusting lighting, temperature, and security settings according to your preferences. Smart homes make life more convenient and efficient. ·          Autonomous Vehicles: AI promises safer and more efficient commuting experiences. Self-driving cars are an excellent example of how AI can revolutionize transportation. ·          Predictive Analytics: AI can optimize supply chains, reducing waste and ensuring goods reach you when you need them. This technology helps businesses operate more efficiently and benefits consumers by ensuring timely deliveries. ·          Energy Efficiency: AI can make energy use more efficient. Power companies now use AI to detect power outages and monitor energy usage. In the future, AI may help develop alternative energy sources and improve overall energy efficiency. ·          Healthcare: AI assists in medical diagnosis, drug discovery, and

Evolution

  Artificial intelligence, which originated from Alan Turing’s 1950 question of whether machines can think, seeks to replicate human intelligence in computational systems. Although its definition varies, it focuses on agents that receive perceptions and take actions to achieve goals. Approaches such as human and rational thought, as well as human and rational action, have shaped the field. Patrick Winston describes it as algorithms triggered by constraints and exposed by representations that link thought, perception and action. Others see it as machines that respond to stimuli like humans, with the capacity for contemplation, judgment and intention. These definitions establish artificial intelligence as a computer science discipline, with applications such as Machine Learning and Deep Learning. Artificial intelligence is divided into two main categories: specialized AI, which focuses on specific tasks such as image recognition or virtual assistants, and general AI, which does not yet e