February 2026

The growing deployment of Internet of Things (IoT) devices in smart cities and industrial environments increases vulnerability to stealthy, multi-stage advanced persistent threats (APTs) that exploit wireless communication. Detection is challenging due to severe class imbalance in network traffic, which limits the effectiveness of traditional deep learning approaches and their lack of explainability in classification decisions. To address these challenges, this paper proposes a neurosymbolic architecture that integrates an optimized BERT model with logic tensor networks (LTN) for […]

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Bayesian Inference Explained Like You’re Guessing Who Ate Your Leftovers Let me tell you about the worst Wednesday of my life. I’m sitting at my desk. My left sock is wet for reasons I still don’t understand. My dog is losing his mind at a squirrel outside. And I’m staring at a Wikipedia page about “Bayesian inference” that reads like it was written by someone who actively hates the concept of fun. You’ve been doing Bayesian inference your whole life. […]

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Hi everyone! I’m a foreign PhD student currently studying in China, and I’ve recently connected with a mid-sized technology/manufacturing company based in China. They’re traditionally focused on audio, communications, and public-address electronic systems that are widely used in education, transportation, and enterprise infrastructure Over the past few weeks, we’ve had a couple of positive interactions: Their team invited me to visit their manufacturing facility and showed me around. More recently, they shared that they’ve been working on or […]

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Inspired by Karpathy’s MicroGPT, I wanted to build the equivalent for text diffusion — a minimal implementation that shows the core algorithm without the complexity. Autoregressive models generate left to right. Diffusion generates all tokens at once by iteratively unmasking from noise: _ _ _ _ _ _ → _ o r _ a → n o r i a Three implementations included: – train_minimal.py (143 lines, pure NumPy) — bare minimum – train_pure.py (292 lines, pure NumPy) […]

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The rapid proliferation of large language models has created significant opportunities for personalized education, yet existing systems rarely account for user competency as a determinant of interaction quality. This study introduces Persona in The Loop (PITL), a dual-mode adaptive framework that recommends AI personas for blockchain and smart contract education applications. PITL employs 100 AI personas organized across two domains, ten sub-specialties, and five Dreyfus competency levels, recommending personas via either similarity-based mode grounded in Cognitive Load Theory […]

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Batman made his first appearance in 1939. When you have a character who has been around for 80 years, they’re bound to change their appearance from time to time. So, it only makes sense for video games like Batman: Arkham Knight to take advantage of this and add different alternative costumes that players can pick and choose from. Some of these were hits, some of these were misses, and some were just okay. Let’s take a look at […]

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