A new AI memory capable of learning and deciding on-chip

A French team led by CEA-Leti, with participation from C2N and several other laboratories*, has developed a hybrid memory technology that allows artificial neural networks to learn and make decisions directly on-chip. The new system combines ferroelectric capacitors and memristors in a single CMOS-compatible stack. The memristors are suited for inference, while the FeCAPs enable precise updates for learning. The hybrid device switches between these modes, allowing efficient …

A decade of scientific collaboration in molecular electronics

The C2N is currently contributing to a long-standing international collaboration through the theoretical modeling expertise of Dr. Yannick Dappe, who recently joined the laboratory. For over a decade, Dr. Yannick Dappe has played a key role in a high-level trilateral collaboration with Prof. Li Yang (XJTLU, China) and Prof. Richard Nichols (University of Liverpool, UK), thanks to his expertise in theoretical modeling. Together, these researchers are pushing the …