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Artificial intelligence · Data and compute
«Искусственный интеллект и автономные системы» в Reports
Trustworthy artificial intelligence, robotics-enabled autonomy, computational methods and social effects. This page shows the series it feeds, the evidence behind it and how to contribute.
- Серия
- 2
- Системная
- 4
- Методы
- 7
What this area brings to the editions.
Trustworthy artificial intelligence, robotics-enabled autonomy, computational methods and social effects.
9 findings of the drafted editions that bear on Artificial Intelligence and Autonomous Systems.
Drawn from the Baseline Edition 2026 drafts through the системы this area reads. Each opens at its anchor in its edition, with its numbered sources.
- AREОбъединенные Арабские ЭмиратыGas gave 68% of electricity generation in 2025, down from 97% in 2019, while nuclear reached 21% and solar 10%; total generation rose from 138 to 184 TWh.REPORTED · COUNTRY-ARE-ENE-003
- ARGАргентинаLow-carbon sources supplied 42% of electricity in 2025, and renewables including large hydro covered 40.2% of demand.REPORTED · COUNTRY-ARG-ENE-003
- AUАфриканский союзIn 2024, 55.1% of people in Sub-Saharan Africa had electricity, up from 46.4% in 2018; about 579 million had none (derived).REPORTED · COUNTRY-AU-ENE-002
- AUSАвстралияWind and solar supplied 33% of electricity in 2025; fossil fuels supplied 61% and coal 43%.REPORTED · COUNTRY-AUS-ENE-003
- BRAБразилияRenewables supplied 86.8% of electricity in 2025. Hydropower fell 4.8% to 401.4 TWh while gas generation rose 22.7%, and wind and solar together supplied 26.4%.REPORTED · COUNTRY-BRA-ENE-005
- CHEШвейцарияIn 2025 hydropower supplied 55.5% of domestic electricity generation, nuclear power 27.2% and photovoltaics 11.8%, and final electricity consumption was 57,970 GWh.REPORTED · COUNTRY-CHE-ENE-003
- CHNКитайCoal supplied 54.8% of electricity in 2025 and 51.4% of total energy consumption, while wind and solar supplied 21.9% of electricity.REPORTED · COUNTRY-CHN-ENE-006
- EUЕвропейский союзRenewables supplied 25.2% of gross final energy consumption in 2024, 17.3 points below the 42.5% target for 2030.REPORTED · COUNTRY-EU-ENE-003
- GS-02Глобальная энергетикаGlobal energy demand grew 1.3% (8 EJ) in 2025, down from 2% in 2024, and electricity demand grew nearly 3%, more than twice as fast.REPORTED · SECTOR-ENERGY-GLOBAL-ENE-001
From Foundry evidence to the series.
The evidence, step by step, from the системы this area reads to the series it feeds.
How Artificial Intelligence and Autonomous Systems reaches Отчёты: what it reads, how it reads it, the sealed cut and the series it feeds.
| Шаг | Что происходит | Источник |
|---|---|---|
| 01 What it reads | Artificial Intelligence and Autonomous Systems reads NXS-NXQ (программное обеспечение, модели и жизненный цикл возможностей) и NXS-LAB (исследования, эксперименты и симуляции): governed sources with their releases, never a value without its source. | |
| 02 How it reads them | Artificial intelligence and machine learning and AI evaluation and assurance engineering turn the evidence into findings, with assumptions and limits stated beside each value. | |
| 03 The cut is sealed | Each quarter the evidence is sealed in one cut, so OBSERVED, REPORTED and ESTIMATED values stay apart and every edition can be rebuilt. | |
| 04 The series it feeds | The cut feeds Exponential Technology and Лаборатории Evidence, from the Baseline Edition 2026 into the quarterly series. | |
| 05 Who decides | Decisions stay with the authorities that hold them, under their own rules; an edition informs a decision and never makes it. |
A teaching model of the evidence path, not a forecast and not a record of any run; the systems, methods and series named come from the registries. Sources: «Искусственный интеллект и автономные системы» в Reports (2026); Artificial Intelligence and Autonomous Systems home (2026).
The series it feeds, and what backs each.
| Серия | Foundry systems it draws on | Academy disciplines | Series home |
|---|---|---|---|
| Экспоненциальные технологии | NXS-NXQ the capability catalogue and fitness assessments of machine capabilities NXS-LAB benchmark comparisons and experiment records for fast-changing technologies | Искусственный интеллект и машинное обучение Управление инновациями и передовыми технологиями Квантовые технологии | Exponential Technology series home |
| Лаборатории Доказательная база | NXS-LAB what was tried, under which conditions, and what happened, including negative results | Исследования, доказательная база и взаимодействие науки и политики Complex системы and systems modelling | Labs Evidence series home |
The systems, methods and teaching behind it.
- NXS-NXQNXS-NXQNXS-NXQRooms: Capabilities, Competence.
- NXS-LABNXS-LABNXS-LABRooms: Experiments, Benchmarks.
- NXS-STU (компоновка, панели мониторинга и рабочие процессы)NXS-STUNXS-STURooms: Composer, Populations.
- NXS-NSF (доверие, авторизация и обеспечение уверенности)NXS-NSFNXS-NSFRooms: Authority, Assurance.
- STEM-методSTEM CommonsИскусственный интеллект и машинное обучениеThe canonical method page, with its limits.
- STEM-методSTEM CommonsИнженерия оценки и обеспечения уверенности в ИИThe canonical method page, with its limits.
- STEM-методSTEM CommonsВысокопроизводительные, облачные и периферийные вычисленияThe canonical method page, with its limits.
- STEM-методSTEM CommonsТеория вероятностей и статистикаThe canonical method page, with its limits.
- STEM-методSTEM CommonsКибербезопасность и криптографияThe canonical method page, with its limits.
- STEM-методSTEM CommonsСоциальные и поведенческие наукиThe canonical method page, with its limits.
- Academy disciplineRisk AcademyИскусственный интеллект и машинное обучениеФакультет технологий и цифровых систем
- Academy disciplineRisk AcademyБезопасность и оценка ИИФакультет технологий и цифровых систем
- Academy disciplineRisk AcademyРобототехника и автономные системыФакультет технологий и цифровых систем
- ОбластьGCRIИскусственный интеллектThe field across science, governance and finance.
- ОбластьGCRIДанные и вычисленияThe field across science, governance and finance.
Where the same subject is reported elsewhere.
- Counterpart · GRFОтчётыInnovation NexusShared: Artificial intelligence.
- Counterpart · GRFОтчёты«Управление ИИ и цифровыми технологиями»Shared: Artificial intelligence.
- Counterpart · GRAОтчётыРиски ИИ и финансовых моделейShared: Artificial intelligence.
- Standards areaNexus StandardsДанные и наборы данныхData and evidence. Parts NS-3, NS-3b, NS-11, NS-1.
- Standards areaNexus StandardsПрограммное обеспечение и цепочка поставокTrust, verification and assurance. Parts NS-12, NS-11, NS-1.
- Standards areaNexus StandardsИИ, модели и агентыDigital, cyber and AI. Parts NS-12, NS-10, NS-11.
- Standards areaNexus StandardsСценарии, модели и стратегическое прогнозированиеSystemic risks. Parts NS-12, NS-3b, NS-11.
- Standards areaNexus StandardsКонфиденциальность и защита данныхData and evidence. Parts NS-10, NS-11, NS-3.
- Standards areaNexus StandardsДанные о финансах и платежахFinance, insurance and the economy. Parts NS-9, NS-10, NS-11, NS-14.
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