artificial neural networks
A network of artificial neurons composed for solving artificial intelligence problems. These computing systems are inspired by the biological neural networks that constitute brains. Understanding of its general model and its elements. Knowledge of its use possibilities for automation.
artificial neural networks — a network of artificial neurons composed for solving artificial intelligence problems. These computing systems are inspired by the biological neural networks that constitute brains. Understanding of its general model and its elements. McKinsey's Skill Change Index places it in the evolving band (SCI 50.68/100) — the skill will still matter in 2030 but the nature of the work is changing, and is one of the Technical AI skills McKinsey identifies as specialised for AI-building work. ESCO classifies it as a cross-sector (useful across many industries) skill within knowledge. It is currently listed by 5 occupations in our catalogue, including artificial intelligence engineer, autonomous driving specialist, microelectronics designer, and microelectronics materials engineer.
Occupations that require artificial neural networks
Showing top 5 of 5 occupations · ranked by India employment volume, then AI-durability.
Frequently asked questions
What is artificial neural networks?
A network of artificial neurons composed for solving artificial intelligence problems. These computing systems are inspired by the biological neural networks that constitute brains. Understanding of its general model and its elements. Knowledge of its use possibilities for automation.
What category of skill is artificial neural networks?
ESCO classifies artificial neural networks under the knowledge category, specifically in the information and communication technologies not elsewhere classified subcategory.
Is artificial neural networks an AI-durable skill?
McKinsey's Skill Change Index places it in the evolving band (SCI 50.68/100) — the skill will still matter in 2030 but the nature of the work is changing. Continue investing, but pair it with the AI-tool workflow that is reshaping the field so you evolve with it.
Is artificial neural networks one of the Technical AI skills?
Yes — artificial neural networks is on McKinsey's Technical AI shortlist, the set of specialised skills relevant to building, tuning, and deploying AI systems rather than just using them.
Which jobs require artificial neural networks?
In our catalogue, 5 occupations list artificial neural networks as a required or important skill. The top occupations by employment volume include artificial intelligence engineer, autonomous driving specialist, microelectronics designer, microelectronics materials engineer, microelectronics smart manufacturing engineer.
How transferable is artificial neural networks between industries?
ESCO tags artificial neural networks as a cross-sector (useful across many industries) skill — a signal of how portable it is when you change field.
Is artificial neural networks the same as ANN?
Yes — artificial neural networks is also known as ANN, neural networks, neural nets, artificial neural nets, or NN. They refer to the same underlying capability in the ESCO taxonomy.
How can I learn artificial neural networks?
The most reliable path is to pick a job or project that demands artificial neural networks and learn through delivery. Complement that with role-specific roadmaps and short courses. Explore the occupations below to see where this skill is used in practice.