January 2026

In the first part of this series, here, I feature a click fraud case that we are working on, litigated by one of the largest law firms in the US.  The input data comes from an Excel repository, automatically processed by an AI agent part of our BondingAI enterprise solutions. It comes with insights generation via automated SQL queries and pattern detection. In other contexts, the data may come from a PDF repository, the Internet, databases, or a […]

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Dielectric materials are critical building blocks for modern electronics such as sensors, actuators, and transistors. With the rapid recent advance in soft and stretchable electronics for emerging human- and robot-interfacing applications, there is a surging need for high-performance dielectric elastomers. However, it remains a grand challenge to develop soft elastomers that simultaneously possess high dielectric constants (k, related to energy storage capacity) and low Young’s moduli (E, related to mechanical flexibility). While some new elastomer designs have been […]

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There is a dirty secret in product management. Most features that get shipped do nothing. Absolutely nothing. These features might sound great, sound fancy, and get a lot of praise internally. But when it comes to impacting the business, they do F all. They do nothing, not because they aren’t designed well, but because they don’t drive your business model in any meaningful way. The only way to impact your business is to have sustained focus on the […]

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Hierarchical federated learning (HFL) has emerged as an effective paradigm to enhance link quality between clients and the server. However, ensuring model accuracy while preserving privacy under unreliable communication remains a key challenge in HFL, as the coordination among privacy noise can be randomly disrupted. To address this limitation, we propose a robust hierarchical secure aggregation scheme, termed H-SecCoGC, which integrates coding strategies to enforce structured aggregation. The proposed scheme not only ensures accurate global model construction under […]

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Deep learning networks excel at classification, yet identifying minimal architectures that reliably solve a task remains challenging. We present a computational methodology for systematically exploring and analyzing the relationships among convergence, pruning, and quantization. The workflow first performs a structured design sweep across a large set of architectures, then evaluates convergence behavior, pruning sensitivity, and quantization robustness on representative models. Focusing on well-known image classification of increasing complexity, and across Deep Neural Networks, Convolutional Neural Networks, and Vision […]

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Training of multimodal foundation models is currently restricted to centralized data centers containing massive, aligned datasets (e.g., image-text pairs). However, in realistic federated environments, data is often unpaired and fragmented across disjoint nodes; one node may hold sensor data, while another holds textual logs. These datasets are strictly private and share no common samples. Current federated learning (FL) methods fail in this regime, as they assume local clients possess aligned pairs or require sharing raw feature embeddings, which […]

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Every investor talks about risk, but few can explain what truly drives it. We measure volatility, beta, or max drawdown, and assume we understand exposure. Yet these numbers are only outcomes. They tell us how much pain existed, not why it happened. Sometimes a high P/E stock crashes harder. Sometimes a low-margin business stays resilient. Correlation alone can’t answer what actually causes those reactions. That’s where most models stop, and where this story begins. This experiment tries to […]

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Modern healthcare technology demands more than incremental improvements—it requires fundamental architectural innovation that balances performance, security, and clinical usability. Brevity AI, Inc. has developed a groundbreaking clinical documentation platform that transforms how healthcare professionals interact with patient data, compressing hours of preparation and documentation into minutes via Artificial Intelligence. As Co-Founder and CTO, Purv Rakeshkumar Chauhan designed and implemented the entire software architecture, demonstrating exceptional software engineering capabilities by building a production-grade healthcare system from concept to reality. […]

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You’re not risk-averse. You’re math-averse. The reason you haven’t started that business, published that work, or made that career move isn’t because you’re scared. It’s because you’re running the wrong calculation. Most people think about risk like accountants. They see a potential move – start a podcast, launch a product, quit their job – and immediately calculate what they could lose. Time. Money. Reputation. Stability. The numbers add up to “too risky.” So they don’t move. They stay […]

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In the increasingly complex landscape of enterprise service management, the remarkable transformation led by Aravind Barla at a global Fortune 100 company stands as a compelling testament to visionary leadership and strategic technical execution. This next-generation Employee Experience Platform (EXP) implementation, serving over 100,000 employees across multiple continents, has redefined industry standards for service delivery integration and AI-driven automation while establishing new benchmarks for what’s possible in large-scale digital transformation initiatives. Inheriting a Fragmented Ecosystem When Aravind Barla […]

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