In a groundbreaking development, scientists in China have created an artificial intelligence training chip that utilizes light for computations instead of electricity, offering a more efficient alternative to existing AI chips. Concurrently, researchers at Oxford have demonstrated the feasibility of light-based computing using regular light sources, marking a significant advancement in the field of photonic computing. These innovations could potentially revolutionize the path towards achieving artificial general intelligence (AGI).
The concept of AGI, which envisions machines capable of performing tasks at a human level, is a theoretical pursuit that has captivated researchers worldwide. While current approaches like generative pre-trained transformers (GPTs) are popular, some experts argue that novel technologies, such as photonic computing, may be necessary to emulate the complexity of the human brain. This shift towards light-based chips could open up new avenues for AI research and pave the way for quantum-enabled hardware solutions.
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