AI, an abbreviation for artificial intelligence, is a field of computer science concerned with building computers and machines that can act in a human-like way or that would involve data whose scale exceeds what humans can analyze. To put it simply, as the name suggests, it is a set of technologies that enables a machine or designs to be advanced enough to perform various tasks that require human intelligence to achieve. These tasks include the ability to understand and translate spoken or written language, see and analyze data, make recommendations, and more.
Before we move on to the interaction between Humans and AI, let’s go through history and learn about the birth of AI. So, how did AI actually start? According to an available article published on the internet, around 1950, an English Mathematician and Computer science pioneer, Alan Turing, raised the question, “Can machines think?” To determine whether a machine is capable of thinking, a test known as the Turing Test or Imitation game, which is played between three players, a man, a woman, and an interrogator, was conducted. It is a kind of behavioral test for the presence of mind, thought, and intelligence. Here, we can see Turing’s test came years before the digital computer or even before the name Artificial Intelligence was invented.
Two years after the death of Turing, John McCarthy, a professor at Dartmouth College, organized a workshop to develop ideas about thinking machines or electronic brains, choosing the name “Artificial Intelligence.” Two years after the death of Turing, AI research began in 1956 at Dartmouth College by John McCarthy, where a group of researchers dedicated themselves to creating machines as smart as humans. In the beginning, the U.S. government heavily invested, believing it would happen quickly, but with every passing time, progress slowed, and eventually, funding stopped. However, in the ‘80s, Japan’s system resumed the research interest in AI with its initiatives and expert systems, leading AI to become a billion-dollar industry. Later, a lot of advancements were launched, and with time, those advancements were refined. As the timeline reveals, by the 2000s, machine learning had gained a grip with evolution in hardware, big data, and solid math.
The real transformation surfaced after 2017 when deep learning emerged as a game-changer, pushing the field forward. The 2020s saw AI blossoming, especially with Large Language Models(LLMs) like ChatGPT. These models have been integrated into various sectors because of advancements in machine learning algorithms, availability of large datasets, increased computing power, open source collaboration, investment from industries, and growing public awareness. In today’s world, AI is present everywhere: digital personal assistants, web search, online shopping, advertising, machine translations, cars, smart homes, cities and infrastructures, cars, cybersecurity, and many more. Your smartphone uses AI for services like digital assistants, chatbots, social media websites, online shopping, and many more.
AI in the home is used for security systems, robot vacuum cleaners, auto navigation, and many more. Now let’s see, Why is AI everywhere? What is fueling the AI boom? AI is embedded in products like smartphones and Home appliances for several key reasons. Let’s break it down:
Improved User Experience
Smartphones have voice assistants, Google Assistant, Siri, and Alexa, which enable hands-free comments, personalization, and predictive behavior. Devices become more intelligent and easier to use with such AI utility. Likewise, smart refrigerators of Home Appliances not only can suggest recipes based on the taste and material inside, but they can also remind you when food is about to expire similarly to cleaning robots, they can navigate the house, identify the types of floor and clean and avoid obstacles while cleaning.
Automation and Convenience
In smart devices such as thermostats (a device that controls a room’s or building’s temperature by automatically regulating the heating and cooling system), the users’ preferences are captured, and temperature settings are adjusted automatically. To illustrate, a vacuum robot uses AI to map out an entire house and autonomously clean it without a user giving instructions. Users do not have to put in any effort or time on repetitive tasks like cleaning as it is all automated by AI.
Personalization
AI offers remarkable solutions for product personalization as per user’s needs. This includes a smartphone camera changing its settings based on the level of light available or a washing machine modifying its washing cycles based on the volume of the laundry. As we all know, the smartphone is AI programmed to help save battery by cutting down power during idle periods and having learned when the user frequently charges the phone.
Enhanced Performance
AI works great in improving device performance in terms of speed and efficiency. In smartphones, AI chips improve everything from gaming to photo editing by trying to do tasks more quickly and more effectively. For example, AI-based algorithms assist mobile phone cameras in capturing images in diverse environments by changing the camera settings for high definition and range, making the images clearer and sharper.
What’s Fueling the AI Boom?
The Advancements in Data Processing and Storage is Perceptible
Big data literally means a lot of data. AI requires a lot of data to train and improve itself, and these solutions are only growing. There is better access to cloud computers, GPUs, and overall faster access to computing power. Therefore, AI is being trained and deployed more easily. Smartphones are around every corner, so now AI systems can use vast computing power to provide businesses with real-time recommendations or give news as events transpire.
Powerful Machine Learning Algorithms
AI’s learning capabilities have vastly improved because of deep learning. These algorithms enable AI to accomplish complex tasks like language translation, image recognition, voice command, etc. Advanced algorithms are employed by voice assistants such as Google Assistant, Alexa, or Siri that listen to varied user commands and respond accurately.
Miniaturization of Technology
AI chips are now smaller and much more energy efficient, enabling their integration into household devices and smartphones. The smartphone AI chip powers augmented reality applications such as real-time object recognition without draining battery life.
Consumer Demand for Smarter Products
Customers continuously expect the products to be more intelligent and responsive. The expectation is that the product can do much more as people get accustomed to advanced features. This leads to a situation where firms have no choice but to continue innovating. The popularity of devices powered by AI, such as voice assistants, resulted in their expansion to other devices, from fridges to lightbulbs.
In Summary, The use of AI in smartphones and home devices provides ease, efficiency, and higher quality and is increasingly important in launching smarter products. The AI boom.
With the explosion of AI, concerns about AI’s risks and ethical challenges are growing, making the future of AI a hot topic.
प्रकाशित मिति: शुक्रबार, फागुन २, २०८१ २१:५१
