AI is the capacity of machines to simulate human intelligence and to evolve by machine learning. Today, they outstrip human capacities in tasks requiring repetition, precision and calculation.
A few key dates in AI’s arrival in our everyday lives…
1950: The scientist Alan Turing creates a test to assess the capacity of a machine to imitate human language. A test that is still used today!
1956:The Dartmouth conference on artificial intelligence is the first event of its kind, where the term is officially used for the first time by the scientific community.
1997: The Deep Blue supercomputer beats Russian master Garry Kasparov in a overmediatized chess match, 20 years after a computer’s first victory over a man in a small local tournament.
2007: AI progresses at breakneck speed. The capacities of machines are tested continually, like IBM’s Watson, which wins the American TV game Jeopardy!
2010: The GAFAs (Google-Apple-Facebook- Amazon) each design and market their own voice-controlled personal assistants using AI.
2016: Amazon reveals a supermarket concept, where customers no longer need to check out, thanks to AI technology.
2050: According to a report published by Yale and Harvard, there is a 50% chance that AI will overtake human intelligence in all professional and personal tasks.
The impact of AI on resource management
“The AI, through its capacity to process Big Data and to learn from data models, has a certain potential in the development of environmental actions.”1
The PRAIRIE Institute (PaRis Artificial Intelligence Research InstitutE)
On March 30, 2018, academics and industrialists, including SUEZ, announced the creation of the PRAIRIE Institute: a place of excellence dedicated to artificial intelligence in Paris.
The goal is to unite the scientific and industrial leaders of AI within a dynamic innovation pole that aims to become the world leader in AI.
Key AI terms
Machine learning: A form of intelligence that accumulates data and fine-tunes the execution of tasks. The programme progresses all on its own.
Predictive analysis: All the data and statistical analysis technologies designed to develop predictive hypotheses and/or statistical models of events likely to occur.
Chatbot: A form of artificial intelligence that uses its capacity to process natural language to hold a conversation.
Neural network: Neural networks are computer systems inspired by the human brain. They can perform various tasks in fields such as voice or image recognition.
1 – The French College of Sustainable Development Directors, 2018.
This article was published in the fifth issue of open_resource magazine: “The resource management in the digital age”