Researchers have developed a new way to compress the memory used by AI models to increase their accuracy in complex tasks or help save significant amounts of energy.
Abstract: In-memory computing offers promising prospects for data-intensive applications, with memristor-aided logic (MAGIC) presenting a notable avenue. Logic synthesis for MAGIC-based systems ...
Recently, compute-in-memory (CIM) has become a promising architecture for data-intensive applications such as deep learning. However, analog or digital CIM (ACIM or DCIM) faces some design challenges.
A Direct LIDAR Inertial Odometry (D-LIO) able to deal with raw 3D LIDAR data online, avoiding the need of LIDAR feature selection and tracking, simplifying the odometry pipeline and easily ...
Memory shortage could delay AI projects, productivity gains SK Hynix predicts memory shortage to last through late 2027 Smartphone makers warn of price rises due to soaring memory costs Dec 3 (Reuters ...
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