Brainware Group

28/09/2026

28/09/2026

Times Now Leaders of Excellence – East 2026 brings together disting...

28/09/2026

WHAT IF TECHNOLOGY COULD THINK BEYOND “YES” OR “NO”?

Real life isn’t always black and white.

A patient’s symptoms can be uncertain.
Traffic can be unpredictable.
A farmer’s soil can need a little more of one thing and a little less of another.
Financial decisions can rarely be reduced to a simple “yes” or “no”.

So, what if technology could understand the grey areas too?

That’s where FUZZY LOGIC enters the story.

Unlike conventional binary systems, fuzzy logic works with degrees of truth - helping intelligent systems make sense of uncertainty, vagueness and imprecision in real-world situations.

Exploring how this powerful approach can create smarter solutions across healthcare, agriculture, finance, transportation and beyond, Dr. Rahul Kumar Ghosh, Gourab Dutta and Sandip Chakraborty have contributed a chapter to the book:

From “YES” or “NO” to “HOW MUCH?”

This is the story of technology learning to understand the complexity of real life.

Congratulations to the authors!

28/09/2026

28/09/2026

WHAT IF TECHNOLOGY COULD LEARN LIKE THE HUMAN BRAIN?

The human brain learns, adapts and responds.
What if technology could do the same?

At Brainware University, research is exploring exactly that possibility.

Dr. Pulok Das from the Department of Electrical Engineering, has explored an interface-engineered Rb₄Ag₂BiBr₉ memristor that enables synaptic plasticity and artificial learning - an important step towards smarter, more adaptive neuromorphic computing technologies.

And this research has earned recognition in SMALL, a prestigious journal published by Wiley.

From understanding how the brain learns to designing technology that can learn too - research is shaping the next generation of intelligent computing.

Congratulations, Dr. Pulok Das!

28/09/2026

What if decoding the tiniest details of cancer could help us discover smarter ways to fight it?

That’s the question behind the latest research by Dr. Subrata Sinha, Department of Computational Sciences, Brainware University.

Using computational approaches to explore the complex world of cancer biology, his research opens up possibilities for understanding molecular behaviour and identifying potential pathways towards smarter, more targeted treatment strategies.

Because sometimes, the biggest breakthroughs begin by looking closer at the smallest details.

At Brainware University, we don’t just study science.