Artificial Intelligence, Machine Learning, IoT, 3D Printing

September 27, 2023
What Is Artificial Intelligence?
Artificial intelligence involves using computers to do things that traditionally require human intelligence.
Artificial Intelligence is the science of making machines that can think like humans. It can do things that are considered “smart.” AI technology can process large amounts of data in ways, unlike humans. The goal for AI is to be able to do things such as recognize patterns, make decisions, and judge like humans. It’s also changing how we make decisions.

MACHINE LEARNING (ML)
Machine learning is a science of getting computers to learn and act as humans do. It is a subset of Artificial Intelligence. In traditional programming, a computer is given input data and an algorithm to produce an output. If a computer is given input data with the corresponding output data, it can learn the algorithm itself and, therefore, continue to predict the right output data. This is called supervised learning.
Alternatively, if a computer is given a complex set of input data with no corresponding output data, the machine identifies the relationships in the data to provide valuable insights for decision-makers. This is called unsupervised learning.
Since the advent of machine learning, programming has become easier. Before machine learning became popular, programmers had to write out instructions for each program they wanted their computer to run. Machine learning allows us as developers to just give some basic suggestions on how certain things should be done and leave room open for more possibilities so our programs can learn from other data sets too!
Driverless cars are a good example. People don’t need to write out instructions for how to deal with every possible thing that could happen involving a pedestrian.
Instead, they can teach the car not to hit pedestrians and provide it with millions of pictures of pedestrians walking near roads. This will help the car know what it needs to do when it “sees” something similar in the future. After ML comes DL.

DEEP LEARNING (DL)
Deep learning can process, interpret, and make use of far larger and more complex data sets.
Machine Learning can ask and answer one question, but it then requires human intervention.
Deep Learning will ask and answer one question— based on that answer, ask another question, and answer it, and so on.
In agriculture, deep learning helps to predict crop yield. Water levels and plant diseases can be detected so that farmers can respond in time.
In insurance, deep learning helps to figure out the damage when cars get in traffic accidents. This is possible because deep learning can teach a computer how to identify damaged car parts, make predictions about how much it will cost for repairs, and make estimates about what will happen.
In medicine, deep learning is changing the way doctors diagnose patients by finding what’s important on medical scans, surveillance images, and other diagnostic tests.
Deep learning has become more prominent in almost every industry, including financial services, retail, healthcare, utilities, Telecom and many others.
In agriculture, deep learning helps to predict crop yield. Water levels and plant diseases can be detected so that farmers can respond in time.
In insurance, deep learning helps to figure out the damage when cars get in traffic accidents. This is possible because deep learning can teach a computer how to identify damaged car parts, make predictions about how much it will cost for repairs, and make estimates about what will happen.
(hcltech)

Internet of Things (IoT) 
The term IoT, or Internet of Things, refers to the collective network of connected devices and the technology that facilitates communication between devices and the cloud, as well as between the devices themselves.
The Internet of Things integrates everyday “things” with the internet. Computer Engineers have been adding sensors and processors to everyday objects since the 90s.
As computing devices shrank in size, these chips also became smaller, faster, and smarter over time.
The cost of integrating computing power into small objects has now dropped considerably. For example, you can add connectivity with Alexa voice services capabilities to MCUs  with less than 1MB embedded RAM, such as for light switches. A whole industry has sprung up with a focus on filling our homes, businesses, and offices with IoT devices. These smart objects can automatically transmit data to and from the Internet. All these “invisible computing devices” and the technology associated with them are collectively referred to as the Internet of Things. There are some examples like Connected Cars, Connected Homes, (improving the efficiency and safety of the house, as well as improving home networking.)
Smart Cities-urban planning and infrastructure maintenance.
Governments are using IoT applications to tackle problems in infrastructure, health, and the environment. IoT applications can be used for:
•Measuring air quality and radiation levels.
•Reducing energy bills with smart lighting systems.
•Detecting maintenance needs for critical infrastructures such as streets, bridges, and pipelines.
•Increasing profits through efficient parking management.
•Smart buildings, Industrial IoT in Manufacturing, Automobiles, Transport, Retail etc.

3D PRINTING
3D printing uses computer-aided design to create three-dimensional objects through a layering method. Sometimes referred to as additive manufacturing, 3D printing involves layering materials, like plastics, composites or bio-materials to create objects that range in shape, size, rigidity and color. (builtin.com)
3D printers use CAD to create 3D objects from a variety of materials, like molten plastic or powders. 3D printers can come in a variety of shapes and sizes ranging from equipment that can fit on a desk to large construction models used in the making of 3D-printed houses. which act somewhat similarly to traditional 2D inkjet printers — use a layering method to create the desired object. They work from the ground up and pile on layer after layer until the object looks exactly like it was envisioned.
Companies all over the world now employ 3D printers to create their prototypes in a matter of hours, instead of wasting months of time and potentially millions of dollars in research and development. In fact, some businesses claim that 3D printers make the prototyping process 10 times faster and five times cheaper than the normal R&D processes.
Schools all over the world are using 3D printers to bring hands-on learning to the classroom by printing off three-dimensional dinosaur bones and robotics pieces. The flexibility and adaptability of 3D printing technology makes it a game-changer for any industry.

3D Modeling Software
The first step of any 3D printing process is 3D modeling. To maximize precision — and because 3D printers can’t magically guess what you want to print — all objects have to be designed in a 3D modeling software. Some designs are too intricate and detailed for traditional manufacturing methods. That’s where CAD software comes in.
Dr Sangeeta Srivastava
Compiled from the Internet
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Shri T P Bhatia College of Science: Unlocking the World of IoT, Robotics, Data Science, AI, and 3D Printing in EducationWorld Smile Day
All comments (4)
  • Reya Noronha
    October 05, 2023 at 7:51 pm

    But information about Robotics isn't given 😭. Anyways Thanks for the information ma'am 😄.

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