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The NeuRRAM chip is the first compute-in-memory device to show a variety of AI applications while consuming a small fraction of the energy used by other platforms while retaining an accuracy of the same level. An multinational team of researchers has developed NeuRRAM, a novel semiconductor that performs computations directly in memory and can run a wide range of AI applications. It stands out because it accomplishes all of this while using a tiny fraction of the energy used by platforms for general-purpose AI computing. With the NeuRRAM neuromorphic semiconductor, AI is one step closer to being able to operate independently from the cloud on a variety of edge devices. This implies that they are capable of carrying out complex cognitive tasks at any time, anywhere, without the need for a network connection to a centralized server. There are countless uses for this technology in every region of the world and aspect of our daily lives. They include anything from smartwatches to VR headse...

One of the most essential parts of computers, a switch, has been created by engineers at the California Institute of Technology (Caltech) utilizing optical, rather than electrical, components. The pursuit of ultrafast all-optical signal processing and computing may benefit from this advancement. Optical devices can send signals far more quickly than electrical devices because they work with light pulses rather than electrical signals. To transfer data, newer gadgets frequently use optics for this reason. For instance, compared to traditional Ethernet cables, fiber optic cables offer substantially quicker internet rates. The area of optics has the potential to transform computers by performing more, quicker, and with less power. However, one of the main drawbacks of today's optics-based systems is that, at some point, transistors based on electronics are still required for effective data processing. An all-optical switch has now been developed by a team of engineers under the direct...