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25/09/2023

Calendar in Python

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21/09/2023

IT Company 😁😁😅😅

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18/09/2023

01/09/2023

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26/08/2023

26/08/2023

🕸️ In the early days of the web, if you wanted to build web applications, you needed the physical hardware needed to run a server, which was a cumbersome and expensive problem.

📍 Then came cloud computing rise where fixed numbers of servers could be rented remotely, however much of the server space that gets paid for can go to waste.

✔️ With the daily technological progress, Serverless computing appears, where developers can purchase backend services on a flexible ‘pay-as-you-go’ basis, meaning that developers only have to pay for the services they use. This is like switching from a cell phone data plan with a monthly fixed limit, to one that only charges for each byte of data that actually gets used.

26/08/2023

Here is a list of the most famous brain inspired computing methods that you need to know about–

1. Artificial Neural Network – ANN

A neuron is like a tiny part of a brain-like computer system. It gets messages from other parts, does some math on them, and then sends out its own message. The connection between these parts is called a “synapse,” and how strong the connection is can be thought of as a “weight.”

The messages themselves are called “activations,” and the math the neuron does is a special kind of calculation. All these neurons working together make up something called an Artificial Neural Network (ANN).

2. Spiking Neural Networks – SNN

Imagine you have a regular computer system (called an artificial neural network or ANN) that does certain calculations. Now, with SNNs, there is an addition of something special: instead of just doing math, each part of the system can also “spike” like a little electrical signal, like in our brain.

3. Neuromorphic computing

This is like making computer parts act like brain parts. It uses special chips with tiny circuits to copy how our brains work. These chips can do smart things like neurons in our brain. The term “neuromorphic” can mean different types of chips, whether they’re all electronic, a mix of electronic and other, or even just software.

4. Reservoir computing

Just like neurons in our brain, the reservoir in reservoir computing processes data in a complex and parallel manner. When we receive input in our brains, it goes through a network of neurons that collectively transform the input into meaningful patterns.

To know more, check out the link in the comments 🔗

26/08/2023

Edge computing is a computing model that moves data processing and computing power from traditional cloud servers to edge devices closer to the data source.
It enables faster data processing and lower latency response, providing more efficient computing and analytics capabilities for various smart devices and applications. With the rapid development of IoT, Industry 4.0 and smart cities, edge computing will be more widely used and promoted, providing strong support for the construction and development of a smart world.