Quantum Sparse Distributed Memory - Tapa blanda

In artificial intelligence, variety of areas are under consideration for mind simulation but the most vital part is the memory management because to simulate human mind or human-like computational proficiencies in machines ,it is pretty difficult to employ traditional memory management practices as human mind holds rapid, complex and distributed memory structures. From neuropsychological and literature point of view, it is clear that our artificial intelligence tools and architectures are lacking for human like capabilities in machines. Quantum mechanics is the physics of possibility due to its properties, also offers the opportunity to integrate these complex practices into more powerful and accurate methods by understanding human's mind more accurately and in a better way. Quantum sparse distributed memory provides considerably better performance and close to human's storage and retrieval capability in machines. The proposed model provides much space to store data and the ability to retrieve with small or incomplete cues.

Sagheer Abbas is an active scholar, his domain of interest is Artificial General Intelligence and specifically mind simulation. Currently he is working as an Asst. Professor at National College of Business Administration & Economics, Lahore, Pakistan. He is also working on his Ph.D. dissertation.