Neural Network
A , or (ANN), is a computational model loosely inspired by biological . It consists of interconnected computational , often organized into an , one or more , and an . Nodes typically combine weighted inputs with a bias and apply an , such as or . During , many networks use to compute and or related to adjust and , reducing a . Neural networks underpin and support tasks such as , , and . Widely used architectures include , which are particularly effective for spatially structured data such as images, and , which use to model relationships within data. Organizations such as , , and develop and apply neural-network models across modern systems.
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Ethics, safety & society
Moving as fast as the field, and easier to overlook
- Explainable AI
- Interpretability
- Model Card
- AI Audit
- Algorithmic Bias
- Disparate Impact
- Digital Divide
- WCAG (Web Content Accessibility Guidelines)
- AI Alignment
- Red Teaming
- EU AI Act
- NIST AI RMF (AI Risk Management Framework)
- Frontier Model
- Deepfake
- Content Credentials
- AI Watermarking
- Job Displacement
- Prompt Injection
- Data Poisoning
- Differential Privacy
- GDPR (General Data Protection Regulation)
- Zero-Day
- End-to-End Encryption
- Data Broker
Infrastructure, markets & the economy
The compute, power and capital behind the boom