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Artificial intelligence
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- 2. WHAT IS AI? Itis the machine’s ability to keep improving its performance without humans having to explain exactly how to accomplish all the tasks it’s given.
- 3. The term artificialintelligence was coined in 1955 by John McCarthy, a math professor at Dartmouth who organized the seminal conference on the topic the following year. Ever since, perhaps in part because of its evocative name, the field has given rise to more than its share of fantastic claims and promises. John McCarthy
- 4. To supplement naturalintelligence for e.g. we are building intelligence in an object so that it can do what we want it to do, as for example-- robots, thus reducing human labour and reducing human mistakes Why do we need AI?
- 5. From SIRI toself-driving cars, artificial intelligence (AI) is progressing rapidly AI can encompass anything from Google’s search algorithms to IBM’s Watson to autonomous weapons.
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- 7. Artificial neural networksare composed of interconnecting artificial neurons (programming constructs that mimic the properties of biological neurons). Machine learning is a scientific discipline concerned with the design and development of algorithms that allow machines to mimic human intelligence. NLP or Speech Recognition is where an AI system can be controlled and respond to verbal commands Examples- • Speech-driven word processors • Military weapon control • Mobile assistants(SIRI, OK Google) • Customer query lines
- 8. Machine Learning is… Machinelearning is about predicting the future based on the past. Everybody learns from experiences. EVERYBODY. The question is CAN WE MAKE COMPUTERS LEARN FROM EXPERIENCES??
- 10. Difference between machineLearning and AI!!
- 11. Uses labeled dataUses Unlabeled data Machine Learning Types Other Types: Reinforcement Learning, Recommender Systems.
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- 14. By using SupervisedLearning No. SIZE COLOR SHAPE FRUIT NAME 1 Big Red Rounded shape with depression at the top Apple 2 Small Red Heart-shaped to nearly globular Cherries 3 Big Green Long curving cylinder Banana 4 Small Green Round to oval,Bunch shape Cylindrical Grapes
- 15. By using UnsupervisedLearning You know NOTHING about the fruits. So where to start? Step 1: ● RED COLOR GROUP: Apple & Cherries. ● GREEN COLOR GROUP: Banana & Grapes. Step 2: ● RED COLOR AND BIG SIZE: Apple. ● RED COLOR AND SMALL SIZE: Cherries. ● GREEN COLOR AND BIG SIZE: Banana. ● GREEN COLOR AND SMALL SIZE: Grapes.
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- 20. It is afield that includes methods for acquiring, processing, analyzing and understanding images It duplicates the ability of human vision by electronically perceiving and understanding images. Some Applications of CV • Face Detection • Traffic Monitoring • Login without password • Target recognition • Optical Character recognition • Interpretation o higher resolution satellite images • 3D shape reconstruction • Object recognition • Medical Imaging • Interactive gaming What is Computer Vision?
- 21. You should choose RaspberryPi If: Your project is complex and networking is involved. Your project is more like a software application, like a VPN server or Webserver Raspberry Pi is a fully functioned computer, a system-on-chip (SoC) device, which runs on a Linux operating system specially designed for it, named Rasbian. Like a computer, It has memory, processor, USB ports, audio output, graphic driver for HDMI output and as it runs on Linux, most of the linux software applications can be installed on it. Arduino is a microcontroller, which is not as much powerful as Raspberry Pi, and can be considered as a one component on computer system. But it is a great hardware for electronics projects. It doesn’t need any OS and software applications to run, we just need to write few lines of code to make it use. You should choose Arduino if: You are from electronics background or if you are a beginner and really want to learn about electronics and its components. Your project is simple, especially networking is not involved.
- 22. APPLICATION OF AI MLsystems are often excellent learners. They can achieve superhuman performance in a wide range of activities, including detecting fraud and diagnosing disease.
- 23. Let’s start byexploring what AI is already doing and how quickly it is improving. • Voice recognition- millions of people are now using it — think Siri, Alexa, and Google Assistant. • Speech recognition is now about three times as fast, on average, as typing on a cell phone. The error rate, once 8.5%, has dropped to 4.9%.
- 24. • Image recognition-You may have noticed that Facebook and other apps now recognize many of your friends’ faces in posted photos and prompt you to tag them with their names. • Image recognition is even replacing ID cards at corporate headquarters.
- 25. • Machines havealready beaten the finest (human) players of poker and Go • Dozens of companies are using ML to decide which trades to execute on Wall Street, and more and more credit decisions are made with its help. • Amazon employs ML to optimize inventory and improve product recommendations to customers.
- 26. • Aptonomy andSanbot, makers respectively of drones and robots, are using improved vision systems to automate much of the work of security guards. • The software company Affectiva, among others, is using them to recognize emotions such as joy, surprise, and anger in focus groups. • Enlitic is one of several deep-learning startups that use them to scan medical images to help diagnose cancer.
- 27. APPLICATION OF AI- WHATYOU CAN THINK OF AND EVEN WHAT YOU CAN’T!!!
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