If you tell a friend they can now instantly create any app, they’ll probably say “Cool! Now I need to think of an idea.” Then they will forget about it, and never build a thing. The problem is not that your friend is horribly uncreative. It’s that most people’s problems are not software-shaped, and most won’t notice even when they are. […] Programmers are trained to see everything as a software-shaped problem: if you do a task three […]
Predicting customer behavior, consumer demand or stock price fluctuations, identifying fraud, and diagnosing patients – these are some of the popular applications of the random forest (RF) algorithm. Used for classification and regression tasks, it can significantly enhance the efficiency of business processes and scientific research. This blog post will cover the random forest algorithm, its operating principles, capabilities and limitations, and real-world applications. What is a random forest? A random forest is a supervised machine learning algorithm […]
Learn how to set up and start using Claude Code to boost your Python workflow. Learn how it differs from Claude Chat and how to use it effectively in your development setup. You’ll learn how to: Install and configure Claude Code Run it safely inside project directories Work with CLAUDE.md for task context Use Git integration for smoother coding workflows Apply Claude Code to automate real programming tasks [ Improve Your Python With 🐍 Python Tricks 💌 – […]
Random walk (RW)-based algorithms have long been popular in distributed systems due to low overheads and scalability, with recent growing applications in decentralized learning. However, their reliance on local interactions makes them inherently vulnerable to malicious behavior. In this work, we investigate an adversarial threat that we term the “Pac-Man” attack, in which a malicious node probabilistically terminates any RW that visits it. This stealthy behavior gradually eliminates active RWs from the network, effectively halting the learning process […]
The problem of determining the (least) fixpoint of (higher-dimensional) functions over the non-negative reals frequently occurs when dealing with systems endowed with a quantitative semantics. We focus on the situation in which the functions of interest are not known precisely but can only be approximated. As a first contribution we generalize an iteration scheme called dampened Mann iteration, recently introduced in the literature. The improved scheme relaxes previous constraints on parameter sequences, allowing learning rates to converge to […]
arXiv:2601.09032v1 Announce Type: new Abstract: The advancement of large language model (LLM) based agents has shifted AI evaluation from single-turn response assessment to multi-step task completion in interactive environments. We present an empirical study evaluating frontier AI models on 150 workplace tasks within a realistic e-commerce RL environment from Surge. Our analysis reveals an empirically-derived emph{hierarchy of agentic capabilities} that models must master for real-world deployment: (1) tool use, (2) planning and goal formation, (3) adaptability, (4) groundedness, […]
Intel will formally launch its first Core Ultra Series 3 laptop processors later this month, the company announced at its CES keynote today. Codenamed Panther Lake and targeted, at least for now, at high-end ultraportable PCs, the Core Ultra 3 chips will also be the first to use Intel’s 18A manufacturing process, the company’s effort to catch up with the chip manufacturing technology of Taiwan Semiconductor (TSMC). The launch will start with 14 chips across five product families, […]
arXiv:2506.22621v3 Announce Type: replace-cross Abstract: Simulation-based problems involving mixed-variable inputs frequently feature domains that are hierarchical, conditional, heterogeneous, or tree-structured. These characteristics pose challenges for data representation, modeling, and optimization. This paper reviews extensive literature on these structured input spaces and proposes a unified framework that generalizes existing approaches. In this framework, input variables may be continuous, integer, or categorical. A variable is described as meta if its value governs the presence of other decreed variables, enabling the […]
arXiv:2601.12164v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed as analytical tools across multilingual contexts, yet their outputs may carry systematic biases conditioned by the language of the prompt. This study presents an experimental comparison of LLM-generated political analyses of a Ukrainian civil society document, using semantically equivalent prompts in Russian and Ukrainian. Despite identical source material and parallel query structures, the resulting analyses varied substantially in rhetorical positioning, ideological orientation, and interpretive conclusions. The […]
Key Highlights: Google has recently been aggressively upgrading its products and services with AI. Speaking of which, Google Search is one of them. As you may know, Google Search has had AI Overviews for a long time now. The generative AI feature was launched back in 2024 at the company’s annual I/O event. Since then, the company has made a few upgrades to AI Overviews in Google Search. Google Search’s AI Overviews will now be globally powered by […]