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|Inteligență artificială (104)|
| SM ISO690:2012|
BĂJENESCU, Titu-Marius. Progress of artificial intelligence (AI). In: Journal of Engineering Sciences. 2018, nr. 2, pp. 52-58. ISSN 2587-3474.
|Journal of Engineering Sciences|
|Numărul 2 / 2018 / ISSN 2587-3474 /ISSNe 2587-3482|
In the past few years, systems like Siri and Google Now opened our minds to the idea that we don’t have to be tethered to a laptop to have seamless interaction with information. In this model, AIs will move from speech recognition to natural language interaction, to natural language generation, and eventually to an ability to write as well as receive information. Machine learning is about man assisting computers. Deep learning is about systems beginning to progress and learn on their own. Historically, systems have always been trained, they’ve been programmed. And, over time, the programming languages changed. As we move into the area of AI and cognitive computing, we’re exploring the ability of computers to do more unaided / unassisted learning. AI definition: The theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decisionmaking, and translation between languages. In other words, artificial intelligence is the ability of a computer to understand what you’re asking and then infer the best possible answer from all the available evidence. Soon AI will become the most important human collaboration tool ever created, amplifying our abilities and providing a simple user interface to all exponential technologies. Ultimately, it’s helping us speed toward a world of abundance. It’s only been in the last few years that we’ve seen a fundamental transformation in this technology.
Deep learning, automatic learning, robot, DeepStack, technology.