Why Artificial Intelligence?
Artificial Intelligence exists when a machine can have human based skills such as learning, reasoning, and solving problems With Artificial Intelligence you do not need to preprogram a machine to do some work, despite that you can create a machine with programmed algorithms which can work with own intelligence, and that is the awesomeness of AI. It is believed that AI is not a new technology, and some people says that as per Greek myth, there were Mechanical men in early days which can work and behave like humans.
Before Learning about Artificial Intelligence, we should know that what is the importance of AI and why should we learn it. Following are some main reasons to learn about AI: With the help of AI, you can create such software or devices which can solve real-world problems very easily and with accuracy such as health issues, marketing, traffic issues, etc. With the help of AI, you can create your personal virtual Assistant, such as Cortana, Google Assistant, Siri, etc. With the help of AI, you can build such Robots which can work in an environment where survival of humans can be at risk. AI opens a path for other new technologies, new devices, and new Opportunities.
AI Tools and Services
AI tools and services are advancing quickly, and this progress can be linked back to a significant moment in 2012 when the AlexNet neural network came onto the scene. This marked the start of a new era for high-performance AI, thanks to the use of GPUs and massive data sets. The big shift was the ability to train neural networks using huge amounts of data on multiple GPU cores simultaneously, making it a more scalable process.
Transformers: Google found a better way to train AI using lots of regular computers with special chips called GPUs. This discovery made transformers possible. Transformers help AI learn from data that doesn't have labels, like teaching a computer to understand language. Hardware Improvements: Companies like Nvidia improved the inner workings of these GPUs. They made them really good at handling the math AI needs to do. This teamwork between better hardware, smarter AI software, and computer data centers made AI a million times better! Nvidia is also working with companies that offer cloud computing to make it easier for others to use this powerful AI. GPTs: Before, if a company wanted to use AI, they had to start from scratch, which was expensive and time-consuming. Now, companies like OpenAI, Nvidia, Microsoft, and Google offer pre-trained AI models. These models can be fine-tuned for specific tasks at a lower cost and with less effort. It's like buying a ready-made cake and adding your own frosting instead of baking the whole cake from scratch. This helps companies use AI faster and with less risk. AI in the Cloud: Using AI can be tricky because it needs lots of data work. Big cloud companies like AWS, Google, Microsoft, IBM, and Oracle are making it easier. They're offering AI services that help with the hard parts, like getting data ready, building AI models, and putting them into apps. Advanced AI for Everyone: Some groups are making really smart AI models and sharing them. OpenAI, for example, has models that are good at chatting, understanding language, making images, and writing code. Nvidia is another, and they're not tied to one cloud company. Many others are making special AI models for different jobs and industries. It's like having a library of powerful tools for lots of different tasks.
Goals of Artificial Intelligence
1. Replicate human intelligence 2. Solve Knowledge-intensive tasks 3. An intelligent connection of perception and action 4. Building a machine which can perform tasks that requires human intelligence such as: o Proving a theorem o Playing chess o Plan some surgical operation o Driving a car in traffic 5. Creating some system which can exhibit intelligent behavior, learn new things by itself, demonstrate, explain, and can advise to its user.
Following are some main advantages of Artificial Intelligence: High Accuracy with less errors: AI machines or systems are prone to less errors and high accuracy as it takes decisions as per pre-experience or information. High-Speed: AI systems can be of very high-speed and fast-decision making, because of that AI systems can beat a chess champion in the Chess game. High reliability: AI machines are highly reliable and can perform the same action multiple times with high accuracy. Useful for risky areas: AI machines can be helpful in situations such as defusing a bomb, exploring the ocean floor, where to employ a human can be risky. Digital Assistant: AI can be very useful to provide digital assistant to the users such as AI technology is currently used by various E-commerce websites to show the products as per customer requirement. Useful as a public utility: AI can be very useful for public utilities such as a self-driving car which can make our journey safer and hassle-free, facial recognition for security purpose, Natural language processing to communicate with the human in human-language, etc. Enhanced Security: AI can be very helpful in enhancing security, as It can detect and respond to cyber threats in real time, helping companies protect their data and systems. Aid in Research: AI is very helpful in the research field as it assists researchers by processing and analyzing large datasets, accelerating discoveries in fields such as astronomy, genomics, and materials science.
Types of Artificial Intelligence
AI Type 1: Based on Capabilities 1. Weak AI or Narrow AI: Narrow AI, also known as Weak AI, is like a specialist in the world of Artificial Intelligence. Imagine it as a virtual expert dedicated to performing one specific task with intelligence. For example, think of Apple's Siri. It's pretty smart when it comes to voice commands and answering questions, but it doesn't understand or do much beyond that. Narrow AI operates within strict limits, and if you ask it to step outside its comfort zone, it might not perform as expected. This type of AI is everywhere in today's world, from self-driving cars to image recognition on your smartphone.BM's Watson is another example of Narrow AI. It's a supercomputer that combines Expert Systems, Machine Learning, and Natural Language Processing, but it's still a specialist. It's excellent at crunching data and providing insights but doesn't venture far beyond its defined tasks. 2. General AI: General AI, often referred to as Strong AI, is like the holy grail of artificial intelligence. Picture it as a system that could do any intellectual task with the efficiency of a human. General AI aims to create machines that think and learn like humans, but here's the catch: there's no such system in existence yet. Researchers worldwide are working diligently to make it a reality, but it's a complex journey that will require significant time and effort. 3. Super AI: Super AI takes AI to another level entirely. It's the pinnacle of machine intelligence, where machines surpass human capabilities in every cognitive aspect. These machines can think, reason, solve puzzles, make judgments, plan, learn, and communicate independently. However, it's important to note that Super AI is currently a hypothetical concept. Achieving such a level of artificial intelligence would be nothing short of revolutionary, and it's a challenge that's still on the horizon.
AI Type 2: Based on Functionality 1. Reactive Machines: Reactive Machines represent the most basic form of Artificial Intelligence. These machines live in the present moment and don't have memories or past experiences to guide their actions. They focus solely on the current scenario and respond with the best possible action based on their programming. An example of a reactive machine is IBM's Deep Blue, the chess-playing computer, and Google's AlphaGo, which excels at the ancient game of Go. 2. Limited Memory: Limited Memory machines can remember some past experiences or data but only for a short period. They use this stored information to make decisions and navigate situations. A great example of this type of AI is seen in self-driving cars. These vehicles store recent data like the speed of nearby cars, distances, and speed limits to safely navigate the road. 3. Theory of Mind: Theory of Mind AI is still in the realm of research and development. These AI systems aim to understand human emotions and beliefs and engage in social interactions much like humans. While this type of AI hasn't fully materialized yet, researchers are making significant strides toward creating machines that can understand and interact with humans on a deeper, more emotional level. 4. Self-Awareness: Self-Awareness AI is the future frontier of Artificial Intelligence. These machines will be extraordinarily intelligent, possessing their own consciousness, emotions, and self-awareness. They'll be smarter than the human mind itself. However, it's crucial to note that Self-Awareness AI remains a hypothetical concept and does not yet exist in reality. Achieving this level of AI would be a monumental leap in technology and understanding.