March 2026

Today, it might be easy to grow accustomed to the idea that more data equals better insights. Companies can track every click through the sales funnel, analyze product usage, and scrape public websites to gather leads or competitor insights. However, 68% of data, according to research done by IDC for Seagate, sits unused, growing stale by the day. But as any data engineer will tell you, collecting data is only the first step. Cleaning, deduplicating, structuring, and integrating […]

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In a modern company, business-to-business (B2B) data empowers both marketing and sales teams to reach the right audience and convert leads, but to nail it, you need the right vendor. That’s why this guide will look into the ten best B2B data providers that can fuel your business strategy and help you expand your customer base. Key takeaways Top B2B data vendors go beyond professional contacts and provide multi-point firmographics, technographics, chronographic data, and intent signals. Most providers […]

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Privacy in blockchains is often known as more than just a cryptographic problem. If transaction values are hidden, sender and receiver identities are obfuscated, and proofs reveal nothing beyond validity, then privacy is secured here. In practice, this assumption breaks down, once transactions leave the wallet and enter the peer-to-peer network. Data in transit, even though protected by cryptographic security, can reveal information about the origin. Even the strongest on-chain privacy mechanisms do not prevent trackers from watching […]

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We’ve spent the last year building the best VS Code extension for agentic engineering. A million downloads later, we’ve learned how important an end-to-end experience is. Developers don’t live in one tool. They live in terminals, on remote servers – in environments where opening an IDE isn’t even an option. The tools that earn a permanent spot in a developer’s workflow are the ones that show up in all of those places, not just the comfortable ones. That […]

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Federated Learning (FL) has emerged as a transformative distributed learning paradigm in the era of Internet of Things (IoT), reconceptualizing data processing methodologies. However, FL systems face significant communication bottlenecks due to inevitable client-server data exchanges and long-distance transmissions. This work presents EdgeFLow, an innovative FL framework that redesigns the system topology by replacing traditional cloud servers with sequential model migration between edge base stations. By conducting model aggregation and propagation exclusively at edge clusters, EdgeFLow eliminates cloud-based […]

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OREM, Utah, Feb. 24, 2026 — SecurityMetrics, a leading innovator in compliance and cybersecurity, has officially announced their security framework platform for CMMC compliance and validation. CMMC is a standardized set of cybersecurity requirements designed to ensure that controlled government information (like designs or contract details) stays protected from hackers and foreign threats. With SecurityMetrics’ new CMMC solutions, defense contractors of all levels can get innovative tools designed specifically for their unique compliance needs, including: A new Self-Assessment […]

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Table of Links Abstract and 1. Introduction Related Work and Background Analysis 3.1 Limitations about Existing ReLUficatio 3.2 dReLU Are Neurons in Expert still Sparsely Activated? dReLU Sparsification Experiments Results 6.1 Downstream Tasks Performance 6.2 Sparsity of Sparsified Models Practical Inference Speedup Evaluation 7.1 Experiments Setting 7.2 Pure CPU Inference and 7.3 Hybrid GPU-CPU Inference 7.4 Deploy LLMs on mobile phones Conclusion and References A. Appendix / supplemental material B. Limitation C. Broader Impact 7.1 Experiments Setting Baselines. […]

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Table of Links Abstract and 1. Introduction Related Work and Background Analysis 3.1 Limitations about Existing ReLUficatio 3.2 dReLU Are Neurons in Expert still Sparsely Activated? dReLU Sparsification Experiments Results 6.1 Downstream Tasks Performance 6.2 Sparsity of Sparsified Models Practical Inference Speedup Evaluation 7.1 Experiments Setting 7.2 Pure CPU Inference and 7.3 Hybrid GPU-CPU Inference 7.4 Deploy LLMs on mobile phones Conclusion and References A. Appendix / supplemental material B. Limitation C. Broader Impact 7 Practical Inference Speedup […]

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Table of Links Abstract and 1. Introduction Related Work and Background Analysis 3.1 Limitations about Existing ReLUficatio 3.2 dReLU Are Neurons in Expert still Sparsely Activated? dReLU Sparsification Experiments Results 6.1 Downstream Tasks Performance 6.2 Sparsity of Sparsified Models Practical Inference Speedup Evaluation 7.1 Experiments Setting 7.2 Pure CPU Inference and 7.3 Hybrid GPU-CPU Inference 7.4 Deploy LLMs on mobile phones Conclusion and References A. Appendix / supplemental material B. Limitation C. Broader Impact 6.2 Sparsity of Sparsified […]

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I recently talked with a contact who repeated what he’d heard regarding agentic AI systems—namely, that they can greatly increase productivity in professional financial management tasks. However, I pointed out that though this is true, these tools do not guarantee correctness, so one has to be very careful letting them manage critical assets such as financial data. It is widely recognized that AI models, even reasoning models and agentic systems, can make mistakes. One example is a case […]

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