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Researchers examining connected evidence across AI systems and society

FUURAA Frontier Research™

We study where AI is going—and turn evidence into responsible infrastructure.

From Singapore, FUURAA connects frontier science, technical standards, public policy and real-world deployment across eight long-horizon research domains.

Explore research domains ↓Read latest research ↘How we work →
Bilingual · Source-linked · Versioned · Evidence-labelled
8long-horizon domains
23source-linked studies
360bilingual frontier signals
12source categories

FUURAA 2026 AI Frontier Technology Radar

One living view across models, agents, robotics, laboratories, compute and society.

A continuously updated, bilingual tracker joining official product releases, primary research, laboratory systems, standards and policy—not an undifferentiated news feed.

Open the 2026 radar →View evidence standards ↗
158detailed 2026 signals
60latest verified records
9technology watch lenses
26·07current verification date

Featured research

Evidence, interpretation and the questions that remain.

External findings are summarised in original FUURAA language and linked to their canonical sources. Inclusion does not imply partnership or endorsement.

Conceptual view of the global AI economy and research landscapeResearch Brief

Global AI Landscape · 2026 edition

AI Adoption Is Accelerating, While Agent Deployment Remains Early

Stanford’s 2026 AI Index describes rapid adoption, investment and capability gains, but also a jagged technical frontier and limited deployment of agents in business functions.Read the research brief →
A multidisciplinary team reviewing responsible AI deployment

External Research Review

From Singapore: Foundations for Responsible Agentic AI

External insight · Singapore IMDA · 20 May 2026
Secure computing infrastructure supporting interoperable AI agents

Research Brief

Why AI Agents Need Infrastructure, Not Only Stronger Models

External insight · NIST · 17 February 2026
Molecular models and scientific instrumentation representing AI-assisted discovery

Research Brief

AI Is Becoming an Instrument of Scientific Discovery

Research summary · Nature · 8 May 2024

Eight research domains

A long-range map of the AI systems people may come to rely on.

These are research directions—not claims that related products, laboratories or technical capabilities already exist.

Agent Systems01

Long-horizon research direction

Agent Systems

From capable models to dependable systems that can act.We study the architectures, protocols and operating conditions that allow AI Agents to plan, use tools, collaborate and recover safely across long-running tasks.Enter the domain →
AI Identity & Memory02

Long-horizon research direction

AI Identity & Memory

Continuity requires more than a session and more than a name.We examine machine-readable identity, authority, provenance, long-term memory and the relationships that allow an AI system to remain useful without losing privacy, context or accountability.Enter the domain →
AI Economy03

Long-horizon research direction

AI Economy

Intelligence changes how value is created, exchanged and governed.We study the economics of intelligent labour, agent-enabled organisations, digital value, capital allocation, compute, energy and the distribution of AI opportunity between firms, workers and regions.Enter the domain →
Embodied Intelligence04

Long-horizon research direction

Embodied Intelligence

Intelligence becomes accountable when it enters the physical world.We follow the convergence of perception, spatial reasoning, manipulation, locomotion, world models and human-aware design as AI moves from screens into machines and shared environments.Enter the domain →
Human–AI Collaboration05

Long-horizon research direction

Human–AI Collaboration

The future of work is a design problem, not a substitution slogan.We study how people and intelligent systems share judgement, creativity and responsibility in work, education, public services and everyday decision-making.Enter the domain →
Digital Life & Longevity06

Long-horizon research direction

Digital Life & Longevity

Digital continuity raises technical questions and deeply human ones.We examine the intersection of memory, health intelligence, personal data, digital representation, ageing and long-term continuity—without confusing research directions with finished products.Enter the domain →
Causal & Scientific Intelligence07

Long-horizon research direction

Causal & Scientific Intelligence

Discovery needs evidence, counterfactuals and prospective validation.We follow AI as an instrument for mathematics, causal reasoning, simulation, hypothesis generation and scientific discovery—while studying how to preserve validity, diversity and reproducibility.Enter the domain →
AI Governance & Society08

Long-horizon research direction

AI Governance & Society

Governance must keep pace without pretending uncertainty has disappeared.We study safety, law, standards, public institutions, rights and social legitimacy as AI capabilities advance faster than many evidence and policy cycles.Enter the domain →

Evidence now

Four data points changing the research agenda.

Each figure is dated, defined and linked. A data point is evidence for a question—not a prediction by itself.

+30percentage points

Frontier capability moved faster than benchmark design

The 2026 AI Index reports a one-year gain of 30 percentage points on Humanity’s Last Exam, illustrating how quickly difficult evaluations can lose discriminating power.

Stanford HAI · 2026 AI Index ↗
945TWh by 2030

AI growth is also an energy and infrastructure question

The IEA base case projects global data-centre electricity demand at about 945 TWh in 2030—more than double the 2024 level.

International Energy Agency · 2025 ↗
31%of surveyed SMEs

Adoption is spreading beyond frontier technology firms

An OECD survey across seven countries found generative AI in use at 31% of SMEs, with reported gains alongside new skill requirements.

OECD · 2025 ↗
30+countries & organisations

Shared scientific assessment is becoming infrastructure

The 2026 International AI Safety Report draws on more than 100 experts and an advisory process spanning over 30 countries and international organisations.

International AI Safety Report · 2026 ↗

Latest publications

Source-linked reading across science, policy and deployment.

Explore all knowledge channels →

Frontier signals

360 bilingual signals—each separated into evidence, emergence or forecast.

Search research findings, policy changes, industry movement and long-range questions by field, evidence state, time horizon and reuse mode.

Open the Frontier Library →
130Observed
119Emerging
111Forecast

Research to reality

A disciplined path from observation to infrastructure.

Research does not automatically become a product. Progress depends on evidence, safety, utility and operational readiness.

  1. 01Frontier Observation
  2. 02Research Direction
  3. 03Experimental Project
  4. 04FUURAA Product
  5. 05Ecosystem Infrastructure
Source validationSafety & ethics reviewReproducibility & evaluationProduct & governance readiness

Global evidence network

A curated, evolving network of research institutions, standards bodies, public agencies and scientific publishers.

Sources are selected for relevance and traceability. Listing never implies partnership, certification or endorsement.

Explore the source network →Read the global review ↗

Methods & editorial integrity

Trust is built through method, not visual authority.

Read the full methodology →
01

Primary sources first

Important claims return to original papers, official reports, standards and first-party technical publications.

02

Evidence is not forecast

Observed evidence, emerging signals and FUURAA forecasts are labelled separately.

03

Original analysis, lawful use

Unless permission or an open licence exists, we summarise proportionately and link to the canonical source rather than reproduce an article.

04

Correctable by design

Publication dates, source links, versions, material limitations and corrections remain visible.

A long-term ambition

To build a trusted, globally connected AI evidence and ideas hub for Southeast Asia.

We welcome researchers, universities, public institutions, engineers and domain experts who value careful evidence, open questions and responsible implementation.

Discuss research and collaboration →