Joint CNRS/Thales lab makes an artificial intelligence breakthrough!
Headed by Julie Grollier, the team succeeded in imitating the behaviour of a biological neuron to help a computer recognize ten numbers pronounced by ten different voices.
These results open up a path to compact intelligent chips able to learn and to adapt to the ever changing and ambiguous situations of the real world, with a dramatic reduction of energy consumption. Such chips could find numerous applications in fields where recognition is critical, for instance for smart motion control of robots or autonomous vehicles, medical diagnosis assistance or prosthesis design.
In an interview filmed in May at the Palaiseau research centre, Julie Grollier detailed the main principles of this discovery and underlined the importance of the continued cooperation between the CNRS and the Thales Group.