무료 자료
Как запускать LLM локально с LM Studio: Полное руководство 2026
Полное руководство по LM Studio: установка, модели, CLI, интеграция API и сравнение с Ollama для локального развёртывания LLM
How to Run LLMs Locally with LM Studio: Complete Guide 2026
Complete guide to LM Studio: setup, models, CLI, API integration, and comparison with Ollama for local LLM deployment
Time as Medicine: Prospective ASRP Research in Biomedicine
시간을 약으로 – ASRP의 유망한 생의학 연구 방향에 관한 기사로, 여기서 근본적으로 새로운 클래스의 치료법이 개발되고 있습니다: 분자가 아닌, 국소적으로 조절된 시간의 리듬이 활성 인자가 됩니다. ASRP 팀은 생물물리학, 시스템 의학 및 살아있는 조직에서의 시간의 불균일성에 대한 가설을 바탕으로, 시간적 비동기화가 질병과 어떻게 관련되어 있는지, 그리고 그것의 교정이 어떻게 재생을 가속화하고 퇴행을 늦추며 새로운 형태의 물리치료를 열 수 있는지를 연구하고 있습니다. 이는 과학과 이론의 경계에 있는 초기 실험적 연구로, 미래의 가능한 '시간 의학'을 위한 기반을 형성하고 있습니다.
The Relationship Between Crystalline Structures and Biological Systems: The Ovsyannikova–Banchenko Hypothesis. Part II
Гипотеза Овсянникова-Банченко II
The Relationship Between Crystalline Structures and Biological Systems: The Ovsyannikova–Banchenko Hypothesis. Part I
This article examines hypothetical mechanisms through which crystalline structures and form-related factors may influence biological systems, with particular focus on integrative regulatory centers of the nervous and endocrine systems. The work draws on contemporary concepts of nonlinear dynamics, distributed regulatory nodes, weak fields, and morphogenetic effects that extend beyond classical anatomo-physiological models. A multidisciplinary framework is proposed, linking physico-biological processes, subjective experience, and systemic effects of weak interactions.
Построение инфраструктуры AI-агентов: три пути от хаоса к масштабируемым системам
Наш опыт работы с клиентом, которому мы помогли превратить один большой AI-монорепозиторий в структурированную экосистему агентов, инструментов и регистров.
Voice AI systems based on Jambonz: from telephony to human-machine dialogue
From Popov's experiments with radio communication to AI calls — how telephony became the foundation of smart communications
Biologically harmonized neurointerfaces: from invasive electrodes to autologous organoids
Invasive neurointerfaces (Utah array, Neuropixels, Neuralink) demonstrate remarkable outcomes in short-term experiments; however, their durability and biocompatibility remain limited. The formation of glial scars, mechanical mismatch, and chronic inflammation reduce signal quality and constrain neuroplasticity. This article discusses the prospects of transitioning from rigid electrode-based systems to biological solutions, including autologous neural organoids and hybrid tissue interfaces, which are capable of integrating into the brain and supporting natural mechanisms of self-learning. Keywords: Neurointerfaces, BCI, brain, biohybrid
Building an App Store Review Analysis Pipeline with Python NLP & Data Visualization
An AI-driven experiment on how App Store data can reveal market, social, and consumer trends
