January 2026

Radiation is typically the most time-consuming physical process in numerical models. One solution is to use machine learning methods to simulate the radiation process to improve computational efficiency. From an operational standpoint, this study investigates critical limitations inherent to hybrid forecasting frameworks that embed deep neural networks into numerical prediction models, with a specific focus on two fundamental bottlenecks: coupling compatibility and long-term integration stability. A residual convolutional neural network is employed to approximate the Rapid Radiative Transfer […]

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If you’re anything like me, you’ve convinced yourself you can change your entire life in one day. New Year’s Day. Your birthday. “Starting Monday.” Some arbitrary moment when everything clicks and you finally become the person you know you’re capable of being. I’ve done this dozens of times. Stood in the gym parking lot on January 2nd, membership card in hand, absolutely certain that this year would be different. Sat at my desk on a Monday morning with […]

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OpenAI has made tech waves in the recent years given the prominences of the ChatGPT family of models, and the remanent of LLMs as search engine reindexing algorithms. They were a private research entity that became a titan now competing with the likes of Google. However, their story is less than glamorous. They started out as a non-profit funded by Musk only to be insanely profit-driven. In fact, they are a cash-burn enterprise, and on top of that […]

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Crypto users are expanding rapidly beyond on-chain native audiences. Most new users access blockchain functionality through intermediaries and embedded abstractions. A growing layer of infrastructure hides the underlying complexity of blockchain, enabling adoption without users being explicitly aware they are using crypto. As a result, real-world blockchain usage is scaling quickly. Common use cases include: Stablecoin and on-chain payments by institutions and enterprises. For example, BitPay enables purchases such as Ferrari with ETH, and our portfolio company Align […]

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Customer calls contain far more than words. They carry emotional signals that reveal satisfaction, frustration, urgency and trust. Call sentiment analysis uses natural language processing (NLP) to surface those signals at scale, turning raw conversations into actionable intelligence. What Call Sentiment Analysis Actually Measures Call sentiment analysis evaluates the emotional tone expressed in customer interactions, typically after speech has been converted to text using automatic speech recognition (ASR). Sentiment signals often fall into three broad categories: n Polarity: […]

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Brian Today’s guest is Shahni Ben-Haim. How are you today? Thanks for joining. Shahni Ben-Haim Thank you for having me. I’m doing great. How are you? Brian Very good, thank you. Shahni is the CEO and founder of SBH Media Relations and creator and host of the podcast PR on the Record. So, let’s start there. What does media relations mean to you? Shahni Ben-Haim The way I look at Media relations is two-sided. From the brand perspective, […]

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Graph-structured data is foundational to numerous web applications, and watermarking is crucial for protecting their intellectual property and ensuring data provenance. Existing watermarking methods primarily operate on graph structures or entangled graph representations, which compromise the transparency and robustness of watermarks due to the information coupling in representing graphs and uncontrollable discretization in transforming continuous numerical representations into graph structures. This motivates us to propose DRGW, the first graph watermarking framework that addresses these issues through disentangled representation […]

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