Machine learning and artificial intelligence is a field that drives major innovations across different industries. It is predicted that in 2023, the AI market will reach $500 billion, and in 2030, $1,597.1 billion in size. This means that machine learning technologies will continue to be in high demand in the near future. However, the machine learning industry evolves very rapidly: new technologies and scientific research define how new products and services are built. At the end of 2022, […]

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arXiv:2601.02513v1 Announce Type: new Abstract: We derive and analyze well-posed, energy- and entropy-stable boundary conditions (BCs) for the two-dimensional linear and nonlinear rotating shallow water equations (RSWE) in vector invariant form. The focus of the study is on subcritical flows, which are commonly observed in atmospheric, oceanic, and geostrophic flow applications. We consider spatial domains with smooth boundaries and formulate both linear and nonlinear BCs using mass flux, Riemann’s invariants, and Bernoulli’s potential, ensuring that the resulting initial […]

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The code needed configuration values. AI GENERATED # config.pyDATABASE_URL = “postgresql://localhost/mydb”API_KEY = “sk_live_abc123″DEBUG = True# app.pyimport configdef connect_database(): return psycopg2.connect(config.DATABASE_URL)def call_api(endpoint): return requests.get(f”https://api.example.com/{endpoint}”, headers={‘X-API-Key’: config.API_KEY}) Clean. Simple. Every module could access configuration through import config. No passing parameters everywhere. Convenient. Then the bug reports started. “The app works fine on my machine but not in production.” “Tests pass locally but fail in CI.” “Feature works when run alone but breaks when run after other tests.” I couldn’t reproduce any of […]

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Preliminaries supervised learning unsupervised learning reinforcement learning ‘An Introduction to Neural Networks’ Learning Rules1 We have built some neural network models in the post ‘An Introduction to Neural Networks’ and as we know architectures and learning rules are two main aspects of designing a useful network. The architectures we have introduced could not be used yet. What we are going to do is to investigate the learning rules for different architectures.

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Video Question Answering (VideoQA) presents significant challenges, demanding comprehensive understanding of dynamic visual content, object interactions, and complex temporal-causal logic. While Multimodal Large Language Models (MLLMs) offer powerful reasoning capabilities, existing approaches often provide singular, potentially flawed reasoning paths, limiting the robustness and depth of VideoQA models. To address these limitations, we propose Contextualized Diverse Reasoning (CDR), a novel framework designed to furnish VideoQA models with richer, multi-perspective auxiliary supervision. CDR comprises three key innovations: a Diverse Reasoning […]

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OpenAI is updating its Model Spec with new Under-18 Principles that define how ChatGPT should support teens with safe, age-appropriate guidance grounded in developmental science. The update strengthens guardrails, clarifies expected model behavior in higher-risk situations, and builds on our broader work to improve teen safety across ChatGPT.

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arXiv:2402.13662v3 Announce Type: replace-cross Abstract: We present a method for upper and lower bounding the right and the left tail probabilities of continuous random variables (RVs). For the right tail probability of RV $X$ with probability density function $f (x)$, this method requires first setting a continuous, positive, and strictly decreasing function $g (x)$ such that $-f (x)/g’ (x)$ is a decreasing and increasing function, $forall x>x_0$, which results in upper and lower bounds, respectively, given in the […]

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A core component of research is the communication of research ideas. Top-tier venues, especially in machine learning, expect these research ideas to be novel, have significant impact and influence in the community and be appropriately empirically or theoretically tested. This is reflected in the way that research is communicated: through papers, talks, posters, tutorials, etc. where the idea is clearly the central element. While some venues encourage open sourcing of code or datasets or try to shift focus […]

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