Near-sensor and In-sensor Computing
Near-sensor and In-sensor computing involve performing computational tasks directly within or in close proximity to a sensor device, rather than relying on separate computing systems. Near-sensor and In-sensor computing are gaining attention and finding applications in various domains, including Internet of Things (IoT), smart sensing systems, autonomous vehicles, and edge computing. These approaches offer the potential for more efficient and intelligent data processing by bringing computational capabilities closer to the source of data generation.
Emerging Memories
It is a class of non-volatile memory technologies that are considered to be potential alternatives to traditional memory technologies like DRAM and NAND flash. Emerging memories have unique characteristics such as high density, fast access times, low power consumption, and potential for scalability. Some examples of emerging memories include resistive random-access memory (RRAM), phase-change memory (PCM), magnetic random-access memory (MRAM), and ferroelectric random-access memory (FeRAM). These technologies are actively being researched and developed for various applications, including data storage, embedded systems, and artificial intelligence.
