arXiv:2603.08741v1 Announce Type: new Abstract: The IEEE 754 floating-point standard is the bedrock of modern computing, but its structural requirements — a hidden leading bit, Base-2 bit-level normalization, and Sign-Magnitude encoding — impose significant silicon area and power overhead in massively parallel Neural Processing Units (NPUs). Furthermore, the industry’s recent shift to 8-bit formats (e.g., FP8 E4M3, OCP MX formats) has introduced a new hardware penalty: the strict necessity of Block-Scaling (AMAX) logic to prevent out-of-bound Large Language […]

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arXiv:2601.03364v1 Announce Type: new Abstract: Agile methods, and Scrum in particular, are widely taught in software engineering education; however, there is limited empirical evidence on how these practices function in long-running, student-led projects under academic and hybrid work constraints. This paper presents a year-long case study of an eight-person student development team tasked with designing and implementing a virtual reality game that simulates a university campus and provides program-related educational content. We analyze how the team adapted Scrum […]

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arXiv:2601.08061v1 Announce Type: new Abstract: Language models now provide an interface to express and often solve general problems in natural language, yet their ultimate computational capabilities remain a major topic of scientific debate. Unlike a formal computer, a language model is trained to autoregressively predict successive elements in human-generated text. We prove that chaining a language model’s autoregressive output is sufficient to perform universal computation. That is, a language model can simulate the execution of any algorithm on […]

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The life of a prescription at Amazon Pharmacy From pricing estimation and regulatory compliance to inventory management and chatbot assistants, machine learning models help Amazon Pharmacy customers stay healthy and save time and money. Conversational AI Alexandre Alves Anita Vila September 30, 01:32 PM October 02, 11:42 AM Pharmacies play a vital role in ensuring patients health, but the process of dispensing medications is far more complex than it may appear. At Amazon Pharmacy, we are using artificial […]

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I’m moving to another service and need to export my data. List every memory you have stored about me, as well as any context you’ve learned about me from past conversations. Output everything in a single code block so I can easily copy it. Format each entry as: [date saved, if available] – memory content. Make sure to cover all of the following — preserve my words verbatim where possible: Instructions I’ve given you about how to respond […]

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Whatever stage of growth you’re currently in, your north star should be the function you want to become synonymous with. What do you want your name to mean? Because after all is said and done, your product or service is a means to an end. All the technical excellence and expert architectural decisions that contribute to your unique service offering are interpreted by the end user in boring, simple thought processes—>Whenever I want to do xxxx, I think […]

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arXiv:2603.05201v1 Announce Type: cross Abstract: Data normalisation, a common and often necessary preprocessing step in engineering and scientific applications, can severely distort the discovery of governing equations by magnitudebased sparse regression methods. This issue is particularly acute for the Sparse Identification of Nonlinear Dynamics (SINDy) framework, where the core assumption of sparsity is undermined by the interaction between data scaling and measurement noise. The resulting discovered models can be dense, uninterpretable, and physically incorrect. To address this critical […]

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Latent space models are widely used for analyzing high-dimensional discrete data matrices, such as patient-feature matrices in electronic health records (EHRs), by capturing complex dependence structures through low-dimensional embeddings. However, estimation becomes challenging in the imbalanced regime, where one matrix dimension is much larger than the other. In EHR applications, cohort sizes are often limited by disease prevalence or data availability, whereas the feature space remains extremely large due to the breadth of medical coding system. Motivated by […]

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