Researchers in Singapore and the US have independently developed two new types of photonic computer chips that match existing purely electronic chips in terms of raw performance. These chips, which can be integrated with conventional silicon electronics, could find use in energy-hungry technologies such as artificial intelligence (AI). The breakthroughs in photonic computing could lead to significant improvements in AI processing speed and energy efficiency.
Forecast for 6 months: Expect to see increased investment in photonic computing research and development, with several companies announcing plans to integrate photonic chips into their AI systems. This could lead to a significant reduction in energy consumption and an increase in AI processing speed.
Forecast for 1 year: As photonic computing becomes more mainstream, we can expect to see the first commercial applications of photonic chips in AI systems. This could include the development of more efficient and powerful AI-powered data centers and the integration of photonic chips into consumer electronics such as smartphones and laptops.
Forecast for 5 years: By 2028, photonic computing is expected to become a dominant technology in the AI industry, with most AI systems relying on photonic chips for processing. This could lead to a significant reduction in energy consumption and an increase in AI processing speed, enabling the development of more complex and powerful AI systems.
Forecast for 10 years: By 2033, photonic computing is expected to have transformed the AI industry, enabling the development of more powerful and efficient AI systems that can tackle complex tasks such as climate modeling and disease diagnosis. This could lead to significant breakthroughs in various fields and improve the quality of life for millions of people around the world.
