Recall that **Scientific computing** is the **science of solving problems with computers.**
Disecting this field into it's **engineering** and **science** disciplines, we have

**Computational engineering** is a broad spectrum, where core of which deals with **numerically solving partial differential equations**
to **estimate it's parameters** after quantifying the uncertainity from statistical principles. This also forms the foundation for various disciplines
like Computational neuroscience and Natural science related fields, Computational statistics and financial fields etc. Today **Machine learning**
seems mostly about **neural networks**, which is just one aspect of Computational enginnering, yet containing myraids of applications. But I do see
that the future direction of research will blur the gap between machine learning and computational engineering.

Recent advances in**Computer Vision** and **Natural Language Processing** make heavy use of meticulously enginnered concepts and neural network operations
like **Convolution neural networks, Recurrent neural networks, Capsule networks, Temporal convolutions, Attention** and the list goes on. These two fields are particularly important
because most of it's mathematical models have been successful deployed for real time use cases. For instance, a technique called **Simultaneous Localization And Mapping**
(SLAM) holds the key blue-print behind the working of **self driving vehicles**. I will be dwelling into all of the above concepts.

I will also touch upon the advancements in the so called**3rd generation neural networks** like **Spiking neural networks**,
which tries to address the current short-commings by comming up with models that closely mimics the human brain.

Go back Modules

**Computational Engineering :**Building mathematical and computationally feasible models from scientific facts.**Computational Science :**Establishing scientific facts and theorems. (This will be described in the final section)

Recent advances in

I will also touch upon the advancements in the so called

Go back Modules