Department of Information and Communication Technology - ICT, MBSTU

26/09/2026

The course breaks down into six fundamental patterns, explaining the logic and code (using Python) for each:

1) Constant Transition: Learn the basics with problems like the Climbing Stairs and House Robber, where the state depends on a fixed number of previous states.

2) Grid Pattern: Explore 2D dynamic programming with problems like Unique Paths, learning how to build tables to solve navigation challenges.

3) Two Sequences: Discover how to compare strings and sequences using 2D tables, covering classics like Longest Common Subsequence and Edit Distance.

4) Interval DP: Tackle problems involving finding optimal substructures within intervals, such as the Longest Palindromic Subsequence.

5) Non-Constant Transition: Understand complex transitions where a state depends on a variable number of previous states, illustrated by the Longest Increasing Subsequence problem.

6) Knapsack-Like Problems: Master problems involving building specific sums or filling capacities, such as Partition Equal Subset Sum and Coin Change.

Master the art of Dynamic Programming by learning to break complex ...

25/09/2026

25/09/2026

25/09/2026

The 10,228th meeting of the United Nations Security Council, held on 23 September 2026, addressed a timely agenda: “Maintenance of International Peace and Security: Artificial Intelligence and International Security.”

The discussion reflected a significant shift in how AI is viewed at the international level. AI is no longer only a technological or economic issue. Its growing use in cybersecurity, critical infrastructure, intelligence, autonomous systems, and military applications makes it increasingly relevant to international peace and security.

Prof. Yoshua Bengio, Turing Award recipient and Co-Chair of the Independent International Scientific Panel on AI, highlighted the risks posed by AI systems operating beyond meaningful human control. Sam Altman, Co-Founder and CEO of , emphasized both the transformative potential and risks of frontier AI, calling for “extreme care.” Dario Amodei, Co-Founder and CEO of , also discussed risks associated with increasingly capable AI systems that could extend beyond individual organizations and national boundaries.

A central issue was how AI should be governed internationally while balancing security, innovation, national sovereignty, competitiveness, and responsible development. From a cybersecurity perspective, this discussion is particularly important. As AI gain the ability to use tools, interact with digital systems, write and execute code, and operate with greater autonomy, the boundaries between safety and are becoming increasingly interconnected.

The key question is therefore no longer simply, “What can AI do?” It is increasingly about what AI should be allowed to do, under whose authority, with what safeguards, and who remains accountable when autonomous systems act unexpectedly.

The 10,228th meeting of the United Nations Security Council, held on 23 September 2026, addressed a timely agenda: “Maintenance of International Peace and Security: Artificial Intelligence and International Security.” The discussion reflected a significant shift in how AI is viewed at the intern...

25/09/2026

The biggest question is no longer: "Can write the code?” It's: “Do we know should be built?”

Don't become an AI . Become a trusted .

Standford Lecture by Prof. Ng

Andrew Ng is a British-American computer scientist, entrepreneur, and leading figure in artificial intelligence and machine learning. He is an Adjunct Professor at Stanford University, Founder of .AI, Managing General Partner of AI Fund, Executive Chairman of , and Chairman and Co-Founder of .

He co-founded and led and previously served as Vice President and Chief Scientist at , where he led a large-scale AI research organization. His academic background includes degrees from Carnegie Mellon University, MIT, and the University of California, Berkeley. He has authored or co-authored more than 200 papers.

https://youtu.be/AVvDFsMUxf0

AI is changing what it means to be an engineer.Andrew Ng and Laur...

24/09/2026

Finally got that savage dog—not getting old, and still barking away inside the Java book! 😂

If you’re sitting in a Java lecture and the teacher starts explaining inheritance, there’s a fair chance his dog will be barking somewhere in the example! 🐶

This time, Gemini probably got its wires crossed too! 😂 Even though this dog is fast asleep — well, pretending to sleep! — the method is still bark(), not sleep()! 🐶💤

22/09/2026

Network Engineer Mood: “Back to Home — 127.0.0.1”
When the network gets spicy (BGP flapping, mysterious packet loss, that one switch nobody admits they touched), sometimes the best destination is the one place that never goes down: 127.0.0.1

The ultimate safe space. No latency. No drama. Always connected.
The Classic Network Engineer Life Cycle

Learn – Open the book / lab / YouTube video
Configure – Type the commands with pure confidence
Troubleshoot – “Why isn’t this working?!”
Fix the outage – The glorious moment it finally works
Drink coffee – Mandatory recovery protocol
Repeat – Because tomorrow there’s another ticket

Why 127.0.0.1 Hits Different

It’s the only IP that never drops your packets
It’s the only place where “it works on my machine” is 100% true
It’s the network engineer’s emotional support address

Every CCNA lab, every Cisco CLI session, every late-night routing table stare-down… they all eventually lead back here.

21/09/2026

Java vs Memory Allocation

In Java, memory allocation is primarily divided into two categories, i.e., Stack and Heap memory. Both are used for different purposes, and they have different characteristics.

: Stores primitive local variables, method call information, and references to objects during program ex*****on.

: Stores actual objects and dynamic data allocated at runtime. Objects created with new are placed here, and this memory is managed by the Garbage Collector.

https://www.geeksforgeeks.org/java/java-stack-vs-heap-memory-allocation/