January 2026

What web browsers do when a user requests a page is quite a remarkable journey. My goodness, the process behind the curtains reflects a diligent effort by the folks who build browsers. So far, I’ve found it very interesting to navigate through the steps taken to draw pixels on the screen. I’ll admit it—this is a surprisingly deep and fascinating area. As developers, we tend to focus heavily on performance, especially when building at scale. If we want […]

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I already made a simple neural network and it works, however I struggle with finding a way to make it learn, I just can’t find any information about that, because most of the articles and videos cover only supervised learning which won’t work in my case, or don’t cover backpropagation at all. I just want to see if there are any articles or videos that explain this thoroughly. submitted by /u/KokorakaboboMax [link] [comments]

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Back in September 2025, I wrote an article titled “You’re Thinking About AI Wrong.” My central thesis was simple: The rise of AI coding assistants isn’t about typing faster. It is about a fundamental shift in our role from Writers (syntax generators) to Architects (system designers). At the time, it was a theory. I was an “Adaptive Systems Architect” with a vision, arguing that if you treat AI as a junior partner rather than a replacement, you can […]

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Welcome to HackerNoon’s Meet the Writer Interview series, where we learn a bit more about the contributors that have written some of our favorite stories. Let’s start! Tell us a bit about yourself (name, profession, and personal interests). My name is Norm Bond. I help founders, operators and creators think clearly in an environment that keeps accelerating. My work tracks the intersection of tech, markets and meaning**.** I focus on what happens when systems become powerful faster than […]

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Welcome to HackerNoon’s Meet the Writer Interview series, where we learn a bit more about the contributors that have written some of our favorite stories. Let’s start! Tell us a bit about yourself (name, profession, and personal interests). My name is Dechun. I’m a software engineer working in the UK, mainly on large-scale payment systems. I spend a lot of time thinking about how AI behaves once it’s deployed in real-world environments. I’m particularly interested in how AI […]

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Contrastive learning has become a leading self- supervised approach to representation learning across domains, including vision, multimodal settings, graphs, and federated learning. However, recent studies have shown that contrastive learning is susceptible to backdoor and data poisoning attacks. In these attacks, adversaries can manipulate pretraining data or model updates to insert hidden malicious behavior. This paper offers a thorough and comparative review of backdoor attacks in contrastive learning. It analyzes threat models, attack methods, target domains, and available […]

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