Algorithms and data structures are the backbone of efficient problem-solving in tech. By learning their principles and design techniques, you can tackle challenges with precision and creativity.

Nvidia researchers have introduced a new technique that dramatically reduces how much memory large language models need to track conversation history — by as much as 20x — without modifying the model ...

After a mathematics win in July, Gemini 2.5 Deep Think has now earned a gold-medal level performance in competitive coding. The International Collegiate Programming Contest (ICPC) is the “oldest, ...

Like the rest of its Big Tech cadre, Google has spent lavishly on developing generative AI models. Google’s AI can clean up your text messages and summarize the web, but the company is constantly ...

OpenAI and Google DeepMind demonstrated that their foundation models could outperform human coders — and win — showing that large language models (LLMs) can solve complex, previously unsolved ...

Abstract: In this article, an unscented Kalman filter (UKF)-based multistep heuristic dynamic programming (MsHDP) optimal control algorithm is developed for nonlinear discrete-time (DT) systems with ...

Financial crime risk is not static. A customer’s risk profile can shift rapidly with new transactions, behaviors, or data. Yet historically, many financial institutions relied on one-time or ...

ABSTRACT: To provide quantitative analysis of strategic confrontation game such as cross-border trades like tariff disputes and competitive scenarios like auction bidding, we propose an alternating ...

Healthcare provider experiences in managing antibody-drug conjugate dosing adjustments due to nausea and vomiting: SABCS and ESMO survey findings. Effcacy and safety results of a multi-center phase ...

Scratch-pad memory (SPM) has been widely used in embedded systems because it allows software-controlled data placement. By designing data placement strategies, optimal solutions with minimal memory ...