In intralogistics, the importance of self-propelled vehicles is increasing. Not only the traditional manufacturers, but also users or their suppliers of operating equipment are designing new battery-powered solutions. The technical solutions are as diverse as the players in the market.
Your opportunity for live interaction: Meet AMS Technologies at the PHOTONICS+ Virtual Exhibition and Conference on 17 & 18 February 2021 and discover our engineered solutions!
CEA-Leti scientists have demonstrated a machine-learning technique exploiting what have been previously considered as “non-ideal” traits of resistive-RAM (RRAM) devices, overcoming barriers to developing RRAM-based edge-learning systems.