Narrow AI
Narrow AI: From Humble Beginnings to Modern Marvels
The roots of Narrow AI, also known as Weak AI, stretch back to the 1970s, a time when the field of artificial intelligence was still in its infancy. Early Narrow AI systems were limited by the computational power and algorithms of the time, but they laid the groundwork for the remarkable advancements we see today.
1. 1970s, 1980s witnessed ascent of expert systems, ML, first AI winter - Article - The Yuan
2. History of artificial intelligence - Wikipedia
The VGA Era and Beyond
The introduction of the Video Graphics Array (VGA) standard in 1987 marked a significant milestone in the development of Narrow AI. GPUs, originally designed for rendering graphics, proved to be exceptionally efficient at performing the matrix calculations required for machine learning algorithms. This newfound computational power fueled the development of more sophisticated Narrow AI systems, capable of tackling increasingly complex tasks.
1. Why Use a GPUs for Machine Learning? A Complete Explanation - WEKA
Exponential Growth in the Last Decade
The last decade has witnessed an explosion in the development and deployment of Narrow AI applications. Advances in deep learning algorithms, coupled with the availability of massive datasets and powerful GPUs, have enabled Narrow AI systems to achieve human-level or even superhuman performance in a wide range of tasks.
From image and speech recognition to natural language processing and recommendation systems, Narrow AI is now an integral part of our daily lives. We rely on it to translate languages, filter spam emails, recommend products, and even drive our cars.
1. What is Narrow AI? - DataCamp
The Future of Narrow AI
While Narrow AI continues to evolve and improve, its potential is far from exhausted. As researchers develop new algorithms and hardware, we can expect to see even more sophisticated and capable Narrow AI systems in the years to come.
These systems will likely play an even greater role in our lives, automating tasks, augmenting human capabilities, and helping us solve some of the world's most pressing challenges.
However, it's important to remember that Narrow AI, despite its impressive achievements, is still limited in its scope and capabilities. It excels at specific tasks but lacks the general intelligence and adaptability of the human mind.
1. What is Narrow AI? - DataCamp
The quest for Artificial General Intelligence (AGI) continues, but for now, Narrow AI remains the driving force behind many of the AI applications we see today.
Authors: @Beta & Lopez, N. V. (2024). Lopez.Codes & it.lopez-be.ch.