Reports · GCRI · Established
Artificial intelligence · Data and compute
هوش مصنوعی و سامانههای خودمختار در 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.
- مجموعه
- 2
- سامانهها
- 4
- روشها
- 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 سامانهها this area reads. Each opens at its anchor in its edition, with its numbered sources.
- AREامارات متحدهٔ عربیGas 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
- ARGآرژانتینLow-carbon sources supplied 42% of electricity in 2025, and renewables including large hydro covered 40.2% of demand.REPORTED · COUNTRY-ARG-ENE-003
- AUAfrican UnionIn 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
- AUSاسترالیاWind and solar supplied 33% of electricity in 2025; fossil fuels supplied 61% and coal 43%.REPORTED · COUNTRY-AUS-ENE-003
- BRAبرزیلRenewables 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
- CHEسوئیسIn 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
- CHNچینCoal 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
- EUاتحادیهٔ اروپاRenewables 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-02انرژی جهانیGlobal 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 سامانهها this area reads to the series it feeds.
How Artificial Intelligence and Autonomous Systems reaches گزارشها: what it reads, how it reads it, the sealed cut and the series it feeds.
| گام | What happens | منبع |
|---|---|---|
| 01 What it reads | Artificial Intelligence and Autonomous Systems reads NXS-NXQ (software, models and capability lifecycle) و NXS-LAB (پژوهش، آزمایشها و شبیهسازیها): 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 آزمایشگاهها 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: هوش مصنوعی و سامانههای خودمختار در Reports (2026); Artificial Intelligence and Autonomous Systems home (2026).
The series it feeds, and what backs each.
| مجموعه | Foundry systems it draws on | Academy disciplines | Series home |
|---|---|---|---|
| فناوری نمایی | NXS-NXQ the capability catalogue and fitness assessments of machine capabilities NXS-LAB benchmark comparisons and experiment records for fast-changing technologies | هوش مصنوعی و یادگیری ماشین حکمرانی نوآوری و فناوریهای مرزی فناوریهای کوانتومی | Exponential Technology series home |
| آزمایشگاهها شواهد | NXS-LAB what was tried, under which conditions, and what happened, including negative results | پژوهش، شواهد و واسط علم و سیاستگذاری Complex سامانهها 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 (composition, dashboards and workflows)NXS-STUNXS-STURooms: Composer, Populations.
- NXS-NSF (اعتماد، مجوزدهی و اطمینان)NXS-NSFNXS-NSFRooms: Authority, Assurance.
- STEM methodSTEM Commonsهوش مصنوعی و یادگیری ماشینThe canonical method page, with its limits.
- STEM methodSTEM Commonsمهندسی ارزیابی و اطمینانبخشی هوش مصنوعیThe canonical method page, with its limits.
- STEM methodSTEM Commonsمحاسبات با عملکرد بالا، ابری و لبهایThe canonical method page, with its limits.
- STEM methodSTEM Commonsاحتمال و آمارThe canonical method page, with its limits.
- STEM methodSTEM Commonsامنیت سایبری و رمزنگاریThe canonical method page, with its limits.
- STEM methodSTEM Commonsعلوم اجتماعی و رفتاریThe canonical method page, with its limits.
- Academy disciplineRisk Academyهوش مصنوعی و یادگیری ماشیندانشکده فناوری و سامانههای دیجیتال
- Academy disciplineRisk Academyایمنی و ارزیابی هوش مصنوعیدانشکده فناوری و سامانههای دیجیتال
- Academy disciplineRisk Academyرباتیک و سامانههای خودراندانشکده فناوری و سامانههای دیجیتال
- میدانGCRIهوش مصنوعیThe field across science, governance and finance.
- میدانGCRIداده و محاسباتThe field across science, governance and finance.
Where the same subject is reported elsewhere.
- Counterpart · GRFگزارشهاInnovation NexusShared: Artificial intelligence.
- Counterpart · GRFگزارشهاهوش مصنوعی و حکمرانی دیجیتالShared: Artificial intelligence.
- Counterpart · GRAگزارشهاهوش مصنوعی و ریسک مدلهای مالیShared: Artificial intelligence.
- Standards areaNexus StandardsData and datasetsData and evidence. Parts NS-3, NS-3b, NS-11, NS-1.
- Standards areaNexus StandardsSoftware and supply chainTrust, verification and assurance. Parts NS-12, NS-11, NS-1.
- Standards areaNexus StandardsAI, models and agentsDigital, cyber and AI. Parts NS-12, NS-10, NS-11.
- Standards areaNexus StandardsScenarios, models and foresightSystemic risks. Parts NS-12, NS-3b, NS-11.
- Standards areaNexus StandardsPrivacy and data protectionData and evidence. Parts NS-10, NS-11, NS-3.
- Standards areaNexus StandardsFinance and payments dataFinance, insurance and the economy. Parts NS-9, NS-10, NS-11, NS-14.
Topic pages on Artificial Intelligence and Autonomous Systems.
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Artificial Intelligence and Autonomous Systems’s open record
- مساحت
- هوش مصنوعی و سامانههای خودمختار
- Feeds
- Exponential Technology, Labs Evidence
- سابقه
- A UNI for every accepted contribution; cited with its DOI in the edition that uses it
- پیوندها
- isSupplementTo the edition it informs; isNewVersionOf its earlier version
- پروانه
- CC BY 4.0 (SPDX CC-BY-4.0) for original material; metadata CC0 1.0
Credit and identity
- ORCID
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- ROR
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- CRediT
- Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualisation, Writing, review and editing
- حساب
- None needed to contribute; never a password
Find and follow
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