New memory chip controlled by light and magnets could one day make AI computing less power-hungry

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A groundbreaking memory cell has been developed that combines light and magnetic fields to perform high-speed calculations while storing data. This innovation allows computations to occur directly within the memory array, significantly enhancing processing speeds and reducing energy consumption. Such advancements could revolutionize data centers for artificial intelligence systems, addressing the growing demand for efficient computing solutions.

The memory cell's unique ability to encode multiple values per cell, unlike traditional binary systems, opens new avenues for machine learning applications. By enabling in-memory computing, this technology could improve the performance of artificial neural networks, which mimic human brain functions. Researchers are optimistic that scaling this technology could lead to substantial reductions in power usage for AI systems.

• New memory chip could significantly reduce power consumption in AI systems.

• In-memory computing enhances processing speeds for artificial intelligence applications.

Key AI Terms Mentioned in this Article

In-memory computing

This term refers to performing computations directly within the memory array, enhancing speed and efficiency.

Artificial neural networks

These are machine learning algorithms that process data similarly to the human brain, benefiting from improved memory technology.

Magneto-optic cells

These cells utilize magnetic fields and light signals to perform high-speed computations and data storage.

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