News : Artificial intelligence & Data intelligence

Narrowband (NB) radio signals are widely used in the context of low power, wide area (LPWA) networks, which are one of the key components of the Internet-of-Things (NB-IoT). However, because of their limited bandwidth, such signals are not well suited for accurate localization, especially when used in a complex environment like high buildings areas or […] >>

As part of the development of its research activities on sensor networks and predictive maintenance, the Autonomy and Sensor Integration Laboratory (DSYS/SSCE/LAIC) of CEA-LETI in Grenoble, France, is offering a thesis on “Ultrasound-based predictive maintenance”. Ultrasound emission is one of the first signs of ageing in an industrial system, before the appearance of vibrations, noise […] >>

The recent discovery of HfO2 ferroelectric properties generates a strong interest for novel non-volatile memory technologies. Among them, HfO2-based Ferroelectric Tunnel Junctions (FTJ) are resistive memories in which the electronic transport, and thus the device conductance, is modulated by the orientation of ferroelectric dipoles within the HfO2 layer. Actually, HfO2-based FTJs are envisaged for mimicking […] >>

Simulations using molecular dynamics (MD) are particularly suitable to study the physical properties of complex materials at the atomic scale but require an accurate description of their potential energy surface (PES). In the past couple of years, much progress has been made in the development of machine learning interatomic potentials (ML-IP) trained on ab initio […] >>

The automated resolution of cognitive tasks primarily relies on learning algorithms applied to neural networks which, when executed on standard architectures, lead to a power consumption several orders of magnitude larger than what the brain would require. This consumption can be drastically reduced by using hardware computing systems with an architecture inspired by biological or […] >>