The biggest lesson from both vibe coding and outcome-oriented work is that technology changes faster than culture.

What separates casual vibe coders from elite builders? It's not better prompts. It's systems. Here's the exact framework I use to keep AI projects production-ready.

Radio spectrum is pricey. Operators drop billions at auction to lock down licensed frequency bands, and every single ...

Abstract: Auditory working memory is essential for various daily activities, such as language acquisition and conversation. It involves the temporary storage and manipulation of information that is no ...

Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...

Self-supervised reinforcement learning is a technique where agents learn useful representations and skills from the environment through self-generated tasks, such as predicting next states or learning ...

And meta-regression further revealed an evaluation in predictive accuracy in prospective study designs (regression coefficient=2.289, P=0.001). Conclusions: Unlike previous narrative reviews, this ...

Summary: A new preclinical study reveals that the hippocampus does more than just store memories; it actively reorganizes them to predict future rewards. By tracking brain activity over several weeks, ...