AI Research & Policy Analysis
An independent platform curating and analysing artificial intelligence developments across health, mental wellness, education, environment, and ethics. Every claim linked to verifiable primary sources.
Six Areas of Analysis
Independent analysis of AI developments across the domains where they carry the greatest societal implications
AI in Health
From protein structure prediction to diagnostic imaging, AI is reshaping clinical practice and drug discovery.
Read Analysis →Mental WellnessMental Wellness
Examining how AI tools are being studied and deployed in mental health screening, triage, and support.
Read Analysis →AI in EducationAI in Education
Tracking adaptive learning systems, AI tutoring, and the digital divide in educational AI access.
Read Analysis →AI for EnvironmentAI for Environment
How machine learning supports climate modelling, biodiversity monitoring, and conservation.
Read Analysis →AI Ethics & PolicyAI Ethics & Policy
Regulatory frameworks, algorithmic bias research, and governance of AI systems worldwide.
Read Analysis →CybersecurityCybersecurity
AI-powered threat detection, adversarial machine learning, and vulnerability discovery research.
Read Analysis →Recent Articles
Independent analysis of current AI research and policy developments
DeepSeek-R1: How a Chinese Startup's Reasoning Model Rivalled OpenAI o1
An open-source reasoning model released under MIT license achieved performance comparable to proprietary alternatives.
EU AI Act Enters Into Force: What the World's First Comprehensive AI Law Means
The EU AI Act became law on 1 August 2024, establishing risk-based regulation for AI systems across all member states.
AlphaFold 3 Expands Drug Discovery Capabilities
DeepMind's AlphaFold 3 extended beyond protein structure to model protein-ligand and protein-nucleic acid interactions.
Llama 4: Meta's Open-Weight MoE Models Push Boundaries
Meta released Llama 4 Scout and Maverick, mixture-of-experts models continuing the trend toward open-weight AI.
How We Analyse
A transparent approach to covering AI research and policy
Primary Source Linking
Every claim links directly to the original paper, regulatory filing, or official announcement. We do not rely on second-hand reporting or press releases alone.
Source Type Labelling
We clearly distinguish between peer-reviewed publications, preprints, industry reports, and regulatory documents. Each is labelled so readers can assess evidentiary weight.
No Fabricated Data
We do not invent statistics, fabricate quotes, or cite fictional studies. Every number and claim on this site is traceable to a verifiable, published source.