technocracy

In the dynamic world of software engineering, where technical mastery meets strategic business impact, exceptional professionals distinguish themselves through transformative solutions while nurturing engineering talent. Rishabh Agarwal’s eight-year journey across retail, financial services, consulting, and entertainment sectors exemplifies how curiosity-driven learning, combined with relentless performance optimization, creates compounding organizational value. The Foundation: From Hardware Fascination to Software Innovation Rishabh’s engineering journey began with an unexpected pivot. Initially drawn to computer engineering and fascinated by physical system architecture, he […]

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arXiv:2601.16438v1 Announce Type: new Abstract: Twisted generalized Reed-Solomon (TGRS) codes, as a flexible extension of classical generalized Reed-Solomon (GRS) codes, have attracted significant attention in recent years. In this paper, we construct two classes of LCD codes from the $(mathcal{L},mathcal{P})$-TGRS code $mathcal{C}_h$ of length $n$ and dimension $k$, where $mathcal{L}={0,1,ldots,l}$ for $lleq n-k-1$ and $mathcal{P}={h}$ for $1leq hleq k-1$. First, we derive the parity check matrix of $mathcal{C}_h$ and provide a necessary and sufficient condition for $mathcal{C}_h$ to […]

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How are you, hacker? 🪐Want to know what’s trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here. ## Claude Code Launches Teleport Workflow: Start Anywhere, Continue Everywhere By @proflead [ 4 Min read ] Read More. AI Doesn’t Mean the End of Work for Us By @bernard [ 4 Min read ] I believe that AI’s impact and future pathways are overstated […]

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arXiv:2510.12700v2 Announce Type: replace-cross Abstract: This paper explores the topological signatures of ReLU neural network activation patterns. We consider feedforward neural networks with ReLU activation functions and analyze the polytope decomposition of the feature space induced by the network. Mainly, we investigate how the Fiedler partition of the dual graph and show that it appears to correlate with the decision boundary — in the case of binary classification. Additionally, we compute the homology of the cellular decomposition — […]

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arXiv:2602.09121v1 Announce Type: new Abstract: In this work, we present a lightweight and privacy-preserving Multimodal Emotion Recognition (MER) framework designed for deployment on edge devices. To demonstrate framework’s versatility, our implementation uses three modalities – speech, text and facial imagery. However, the system is fully modular, and can be extended to support other modalities or tasks. Each modality is processed through a dedicated backbone optimized for inference efficiency: Emotion2Vec for speech, a ResNet-based model for facial expressions, and […]

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arXiv:2602.15158v1 Announce Type: new Abstract: This paper presents a novel approach for ontological heterogeneity that draws heavily from Carnapian-Goguenism, as presented by Kutz, Mossakowski and L”ucke (2010). The approach is provisionally designated da Costian-Tarskianism, named after da Costa’s Principle of Tolerance in Mathematics and after Alfred Tarski’s work on the concept of a consequence operator. The approach is based on the machinery of consequence systems, as developed by Carnielli et al. (2008) and Citkin and Muravitsky (2022), and […]

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