Terminology

What is arti­fi­cial intel­li­gence and what are new tech­nolo­gies? And how is AI dif­fer­ent to data sci­ence or machine learn­ing? Both these and oth­er rel­e­vant terms key to a cen­tral under­stand­ing of AI are defined in the Ter­mi­nol­o­gy.

The intro­duc­tion of a stan­dard­ised ter­mi­nol­o­gy is an impor­tant foun­da­tion for the func­tions of the CNAI. A com­mon lan­guage and a cor­re­spond­ing com­mon under­stand­ing of terms at the lev­el of the Fed­er­al Admin­is­tra­tion facil­i­tates the active exchange of expe­ri­ence and knowl­edge both with­in and beyond the CNAI net­work. Fur­ther­more, a com­mon under­stand­ing sim­pli­fies the com­mu­ni­ca­tion of ideas, plans and ser­vices in this area.

Important Terms

DE	FR	IT	EN
Daten­wis­senschaft	sci­ence des données	scien­za dei dati	data sci­ence
kün­stliche Intelligenz	intel­li­gence artificielle	intel­li­gen­za artificiale	arti­fi­cial intelligence
maschinelles Ler­nen	appren­tis­sage automatique	apprendi­men­to automatico	machine learn­ing
tiefes Ler­nen	appren­tis­sage profond	apprendi­men­to profondo	deep learn­ing
überwacht­es Lernen	appren­tis­sage supervisé	apprendi­men­to supervisionato	super­vised learning
unüberwacht­es Lernen	appren­tis­sage non supervisé	apprendi­men­to non supervisionato	unsu­per­vised learning
ver­stärk­tes Lernen	appren­tis­sage par renforcement	apprendi­men­to per rinforzo	rein­force­ment learning