Definition
Neural networks transform inputs through layers to produce predictions, classifications, or generated outputs. Deep neural networks power many modern AI systems.
How it works
The network adjusts internal weights during training so its outputs better match examples. Once trained, it applies those learned patterns to new inputs.
Why it matters at work
Neural networks are powerful but opaque. Teams using AI need to understand that model confidence is not the same as correctness or explainability.
Workplace example
A healthcare team uses an imaging model to flag scans for review, while clinicians remain accountable for diagnosis and escalation.
Frequently Asked Questions
Are neural networks the same as AI?
No. Neural networks are one family of machine learning models. AI is the broader field of systems that perform tasks associated with intelligence.