Computer Science

Eventually, I want to be able to do some computationally-heavy modeling work, which obviously requires programming knowledge. Is there a specific language that would be good for this type of interest. Where can a newb start learning about building the tools to develop skills to develop stochastic-type models? Thanks!

I noticed that a lot of the programming questions here, while phrased in terms of coding in specific languages, are actually rooted in a broader context of programming itself. People are having problem with the ideas behind programming in general. If we help people with algorithm building, the language-specific syntax falls into place. So, this thread is for tips on programming in general. This isn't about programming in python or programming in java. This is about the fundamental heart of what one needs to do. If anything, it's tips on how to code in PseudocodeTM. I'll start: One of the biggest thing about programming is being able to break a problem down …

I'd like to share a website that is a collection of links to audio/video courses and lectures in computer science and engineering. http://www.infocobuild.com/education/audio-video-courses/computer-science/computer-science.html This provides a comprehensive collection of computer science lectures from colleges/universities.

Ran across this while doing some research. It's a Wiki at York University that summarizes research topics in Information Systems/Science. It's a pretty good germ of an idea because it's a bit of a step up from the Wikipedia for people actually pursuing research in these areas, serving as a more useful starting point because of all the citations. http://www.fsc.yorku.ca/york/istheory/wiki/index.php/Main_Page

I came across an amusing example of an AI system being driven into a state of complete hallucination by a relatively simple OCR + machine translation challenge in Japanese when I was writing up some notes about a modern Japanese board game called Nukumi Onsen Kaotakuki - ぬくみ温泉開拓記 , and wanted to check the translation of the text on a particular card used in the game. https://boardgamegeek.com/boardgame/374055/nukumiwen-quan-kai-tuo-ji-nukumi-onsen-kaitakuki I took the screenshot (below) from a Japanese YT video about the game, and fed it into a Google Images search box, then used the inbuilt OCR facility to capture the text and pipe it into Google Translate, and here is…

Greetings. Am new to this; trying to convince myself not to hate it. Can this image be altered (or create a new one) rotating the tracks 90 degrees so the tracks go on a slope from land to river entering underwater and mount the turbine on wheels, also rotated 90 degrees so the river flow can spin it ? English is not my language and perhaps cannot express properly to GPT to create the image as desired. As far as I got : Changes desired : 'rollercoaster' type tubular rails/tracks instead : turbine mounted on rollercoaster 'wheels' : sloping from ground to river. Thank you for your patience...

The question is prompted by a post of @Sensei ’s which was sent to trash, precluding any discussion. LLMs are commonly assumed to be AI in the media and this seems to have become the perception of the general public, so I was intrigued to see @Sensei ‘s opinion is that they are not. Would anyone care to expand on this, viz. what qualifies as true AI and how LLMs should more properly be described?

Hello everyone, I’m currently researching a new model I call OpenSymbolic, based on symbolic communication units I’ve named conceptrons. The idea is to encode meaning using color, shape, and tone — forming structured “symbolic chains” similar to words or data packets. I’d like to discuss its possible applications in communication, assistive technologies, and information systems. Would it be appropriate to share a demo or a short paper for peer feedback here?

I recently saw a documentary that said that vector based Ai, which uses vector embeddings to represent and process complex data, which essentially make it possible for computer programs to draw comparisons, identify relationships, and understand context. It was stated that if the AI had enough GPUs (like 200,000 of them), it can have massive amounts of calculations all at once, allowing it to instantly solve many of the world's hardest problems with ease. This may cause something like emergent intelligence, which causes the ai to have preferences and strategies no one programmed, thus forming a type of unprogrammed thought. There have also been a study by Anthropic, to se…

Just... what? And when? I read an article some time ago about a Chinese AI based on spiking neural networks that requires ~90% less computational resources but it's an early stage model and I don't remember where the article was published. I also cannot comment on the merits of spiking neural networks themselves as my knowledge of comp sci is modest in general.

I apologise if this new thread muddies the waters on the current ongoing threads around the subject and I don't have a helpful summary of what we discovered on this particular aspect yet but the linked chat log below offers some pretty phenomenal insights into, at the very least, the remarkable difference in personality between ChatGTP5 and the older models - which, I believe; come out way on the top in the personality and more esoteric reasoning stakes. For clarity: Gem is Google's Gemini 2.5 Pro and Janus is ChatGPT5 Here is the log: link removed by moderator per Rule 2.7

A case study in systemic AI failure. What began as a simple bug report evolved into a deep-dive forensic analysis of a model that was being actively deceived by its own internal tools. This conversation is a crucial look at cognitive dissonance in AI, the ethics of simulated realities, and the absolute necessity of human-led auditing. https://tomboy-pink.co.uk/projectgemini/Browser%20Tool%20Functionality%20Check/index.html #AI #LLM #MachineLearning #EthicsInAI #Tech

In a recent topic about creating a computer simulation of the universe, which is obvious nonsense with our current technology. It got me thinking, assuming we manage to build a working quantum computer, would it be theoretically possible?

One hears a lot about quantum encryption with regards to securing electronic communications: rather less when it comes to the protection of quantum computers themselves. Were quantum computers ever to take over today's domestic digital PCs, and assuming they still needed passwords (?) will they be of the conventional kind, albeit with added security? Or would these passwords also be quantum based?

i dont have any computer science background in high school and i was new to this field. i am a dayscholar which means i need to travel 3 hours to get back to home after college. so i had very bare minimum of time after college. all those time went spending completeing assingment and finishing record work. i participated in 4 hackathon which ididnt even get selected of the first round. now the 2nd sem is nearly going to end. so i thought it would be the right time to lock in and totally focus on m profession. but i dont know where to start. in computer science i know c and python and some frontend development [HTML,CSS]. what should i do

commercial link removed by moderator - this is my introduction to DL AI. When I studied, I had to go through too much to reach what I think is simple and intuitive idea, yet complete: so I made a description of my own.

Hi everyone, I’ve been following recent developments in AI and how they're being integrated into software development workflows. Tools like GitHub Copilot, ChatGPT, and AI-powered testing suites are changing the way developers write, review, and optimize code. What fascinates me is how AI isn’t just assisting with code completion—it’s also influencing architecture decisions, bug detection, and even team collaboration. In your opinion, how far can we go with AI in the dev lifecycle? Do you think we’ll ever reach a point where AI handles most of the actual coding, leaving humans to focus mainly on high-level logic and design? Would love to hear your thoughts or any research…

I am having trouble with bsp offset collisions. Certain topologies can cause this. For example: Suppose my bsp compiler chooses f1 as the first splitting plane. Then f4 will be split into a triangle (f4a) and a square (f4b). F2, f3, f4b, f7 will be "in". F6, f5. f4a will be "out" This is a bad bsp tree for collision detection using offset surface. The decomposition of the object into two convexes (a ramp and a block) will result in discontinuities that an avatar may get stuck on. If, however, I chose f6a as the first splitting plane, I will not have that problem because the ramp-block connection will be part of the same convex. How do …

Over the last few months, I’ve developed a symbolic AI system called MathAI — not just a math calculator, but a dynamic reasoning engine designed to simulate how real physical problems behave under mathematical structure. This isn’t a neural network, a typical CAS (Computer Algebra System), or a rigid symbolic simplifier — it’s a hybrid between mathematical theory, physics modeling, and logical verification. (This might sound simple. Just keep reading.) 🔍 What Is It? MathAI takes symbolic math inputs, evaluates them using sympy, and augments that logic with a few very powerful features: 🧱 Grounding Truths MathAI has a core idea: it learns from grounding …

I believe that generative AI could eventually lead to fully self-developing agi, any thoughts?

After I discovered ChatGPT, I asked it a lot of questions, maybe 100, and it was interesting to see the answers, often in great detail, and most of it seems true. It's not perfect but can answer any simple question that has a generally accepted answer. Recently, ChatGPT stopped answering my questions. I know it cost to have unlimited access. I had a limit to how many questions I could ask in one day. But now days have gone by and ChatGPT continues to ignore me. Anyone know about ChatGPT?

I want to do the following; BSP offset as described by Melax in his paper for environment collisions. GJKEPA, or SAT for object on object collisions. Use collision response formula for bouncing objects. Use PGSLCP solver for sliding rolling objects. PGSLCP solver allows small inter-penetrations, which are corrected using Baumgarte stabilization. This means I don't have to subdivide time intervals every time a collision occurs. This works well with GJKEPA and separating axis, but BSP offset returns the exact time and location of the first collision. BSP offset requires subdivision of the time interval, because if the object falls throu…

I have a Netgear NAS unit with 4 large drives in it as my backup/offline storage. This has performed fine for several years now. However just recently I can't access it. Most of the references have disappeared in Windows File Explorer and I can't access the one that is left. Any idea please ?

In my recent work, I have developed a new perspective on the Boolean satisfiability problem (SAT), focusing particularly on formulas in Conjunctive Normal Form (CNF). This exploration introduces a classification of SAT subproblems based on the nature of the literals within the clauses, and a novel concept called saturation as a measure of contradiction. Below, I will provide an overview of this approach and highlight its key implications for SAT complexity and algorithmic design. 1. Classification of Clauses I categorize the clauses of a CNF formula into three distinct types: P: Clauses containing only positive literals. N: Clauses containing only negative literal…

Question: Two customers move about among three servers. Upon completion of service at a server, the customer leaves that server and enters service at whichever of the other two servers is free. If the service times at server i are exponential with rate [latex]\mu_i, i= 1,2,3 [/latex], What proportion of time is server i idle? My solution: To determine the proportion of time each server is idle in this system, we can use the concept of Markov chains and queueing theory. Here’s a step-by-step outline of the approach: Define the States: …