Presentation on ai Made by Jai Sharma of class 10 lotus
Content :- What is AI? Levels of AI – Narrow, General, Super Types of AI – Artificial intelligence, Deep learning, Machine learning Advatages of AI Artificial intelligence Vs Robots Where AI is used? AI trend in 2022
What is ai? Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems , natural language processing, speech recognition and machine vision.
Stages of Ai Three stages of AI are: ANI (Artificial narrow intelligence) AGI (Artificial general intelligence) ASI (Artificial super intelligence)
Artificial narrow intelligence Artificial narrow intelligence (ANI), also referred to as weak AI or narrow AI, is the only type of artificial intelligence we have successfully realized to date. Narrow AI is goal-oriented, designed to perform singular tasks - i.e. facial recognition, speech recognition/voice assistants, driving a car, or searching the internet - and is very intelligent at completing the specific task it is programmed to do.
Artifical general intelligence Artificial general intelligence (AGI), also referred to as strong AI or deep AI, is the concept of a machine with general intelligence that mimics human intelligence and/or behaviours, with the ability to learn and apply its intelligence to solve any problem. AGI can think, understand, and act in a way that is indistinguishable from that of a human in any given situation.
Artificial super intelligence Artificial super intelligence (ASI), is the hypothetical AI that doesn’t just mimic or understand human intelligence and behaviour; ASI is where machines become self-aware and surpass the capacity of human intelligence and ability. Superintelligence has long been the muse of dystopian science fiction in which robots overrun, overthrow, and/or enslave humanity. The concept of artificial superintelligence sees AI evolve to be so akin to human emotions and experiences, that it doesn’t just understand them, it evokes emotions, needs, beliefs and desires of its own.
Types of artificial intelligence
Artificial intelligence ARTIFICIAL INTELLIGENCE :- Artificial intelligence is intelligence demonstrated by machines, as opposed to the natural intelligence displayed by animals including humans. DEEP LEARNING :- Deep learning is a type of machine learning and artificial intelligence (AI) that imitates the way humans gain certain types of knowledge. MACHINE LEARNING :- It's the process of using mathematical models of data to help a computer learn without direct instruction . This enables a computer system to continue learning and improving on its own, based on experience
Advantages of ai AI drives down the time taken to perform a task. It enables multi-tasking and eases the workload for existing resources. AI enables the execution of hitherto complex tasks without significant cost outlays. AI operates 24x7 without interruption or breaks and has no downtime AI augments the capabilities of differently abled individuals AI has mass market potential, it can be deployed across industries. AI facilitates decision-making by making the process faster and smarter.
Artificial intelligence vs robots
Artificial intelligence vs robots Robotics and artificial intelligence are two related but entirely different fields. Robotics involves the creation of robots to perform tasks without further intervention, while AI is how systems emulate the human mind to make decisions and ‘learn.’ While you can have robotics with an AI element (and vice versa), both can, and usually do, exist independently of each other. For most robots, designed to perform simple, repetitive tasks, there’s no need for advanced AI as the duties are simple, predictable and pre-programmed.
Where artificial intelligence is used? Currently AI is Used is Following Things/Fields: Virtual Assistant or Chatbots Agriculture and Farming Autonomous Flying Retail, Shopping and Fashion Security and Surveillance Sports Analytics and Activities Manufacturing and Production Live Stock and Inventory Management , etc.
Ai trend in 2022 According to Gartner, Generative AI is a strategic AI technology trend for 2022. Generative AI may be used for several purposes, including artistic purposes, generating content for media outlets, personal creativity or education. Generative language models are a fascinating application.
There are seven areas where artificial intelligence will have a tremendous impact in the year 2022 Workforce Augmentation It is a looming fear that machines or robots will eventually replace the human workforce and may even render certain roles obsolete or redundant. But that is not the fact, and we are well aware of that. The reality is that as companies start using machines to crunch data and leverage AI to interpret data and extract meaningful information out of it, it becomes even more pertinent for the human workforce to work hand-in-hand with such technology.
• Efficient language modeling Another area where we can see a significant surge in the usage of machines is language modeling. What it means is the use of machines to communicate with humans in a language that humans can understand. We are also looking at converting human languages into codes to execute and run applications. • Artificial Intelligence in Cybersecurity Even though World Economic Forum( 2 ) has declared the criticality of cybercrimes, it doesn’t need rocket science to know that cybercrimes and cyber-attacks are on the rise. As we see more and more involvement of machines in every facet of our lives, there is a potential risk of cybercrime, and it continues to be a problem.
• Metaverse & Artificial Intelligence Metaverse is a terminology coined for an environment, a digital environment to be more specific, where multiple users can work and play together. It is a virtual world, just like the internet, but that delivers amazing experiences, and it is created by users for users. • Low/No code AI One of the major challenges that organizations are facing today is the dearth of skilled AI engineers, who can develop the required tools and algorithms. With the advent of no-code or low code solutions, this challenge can be addressed by providing simple and intuitive interfaces, that can be used to create complex systems on Artificial Intelligence, theoretically.
AI-driven vehicles Another area where AI will play the brain of a system will be vehicles, such as cars, aircraft, and boats. This will allow respective companies to deliver exceptional travel experiences to consumers. Tesla is a classic example of AI-driven cars, which give a breath-taking driving experience. Moreover, it also ensures the prevention of accidents because the inbuild AI engine can foresee upcoming obstacles and prevent any kind of road accidents. On average 1.3 million people die of road accidents every year. So, if we look at these alarming statistics, then AI does have a critical role to play to stop this from happening.
AI in creativity All of us are well aware of the usage of artificial intelligence to create music, poetry, and even video games. We are expected to see models such as GPT-4 and Google’s Brain that will completely revolutionize the concept of AI in creativity and redefine new boundaries, to help us know about possibilities. We shall also see the implementation of artificial intelligence in day-to-day tasks such as creating headlines for articles and newsletters, creating logos and infographics. Though creativity is a human skill, we are seeing more possibilities of machines doing these tasks.