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Future Computers Will Be One Hundred Times Faster

Jan 28, 2026 January 28, 2026 3 min read 📰 Radio Farda
📋 Key Takeaway

The article discusses the future of computing technology, highlighting that new processors utilizing lazy transistors will potentially make computers one hundred times faster than current models. This advancement is crucial for the development of artificial intelligence and other scientific fields. Companies like Intel and AMD are competing to introduce more powerful processors, indicating a significant shift in computing capabilities.

🔍 Quick Context Guide
💡 Bottom Line: The development of new hybrid processors could revolutionize computing, with significant implications for technology and industry.

👥 Key Players

Intel MENTIONED
Technology company
"Intel is a leading semiconductor manufacturer and plays a crucial role in the development of advanced processors."
AMD MENTIONED
Technology company
"AMD is a key competitor to Intel in the processor market, influencing pricing and technological advancements."
Gordon Moore MENTIONED
Co-founder of Intel
"Proposed Moore's Law, which has guided the semiconductor industry for decades."

📰 What Happened

The article discusses the potential future of computing technology, where new processors using lazy transistors could make computers one hundred times faster. This advancement is expected to significantly impact fields like artificial intelligence and scientific research.

  • Lazy transistors can switch between electronic and photonic states, enhancing processing speed.
  • Current processors are being developed with more cores and improved efficiency to meet growing computational demands.

💡 Why It Matters

🇮🇷 For Iran: Iran's technological development could benefit from advancements in computing, particularly in fields like AI, which are critical for modernization.
🌍 Regional: The Middle East may see increased investment in technology sectors as faster computing enables new applications.
🌐 International: Globally, faster computing could accelerate technological innovation, impacting economies and industries worldwide.

📚 Background

Computing technology has evolved rapidly, with processor speed being a key factor in performance. The introduction of new technologies like lazy transistors may address limitations faced by current electronic transistors.

Artificial Intelligence Semiconductor Industry
📡 Source: NEUTRAL
📊 Confidence: 70%
The article presents a technical overview of advancements in computing without apparent bias.

It may be hard to believe, but in the future, with the advent of a new generation of processors, computers will be one hundred times faster. Although it seems a bit far-fetched, looking at the history of computer science, this increase in speed is not unimaginable. But how will this happen? Lazy transistors will be the key to this technological leap. These transistors can switch between two stable states, namely electronic and photonic states. This technology will bring the speed of computers in the future with these new processors to one hundred times the current speeds. An example of these electronic components has been created, known as the dual-state transistor. These components have the ability to alternate between optical and electronic states. In this way, data in future computers can also be transmitted through photons. This high speed is due to the absence of interference problems that exist in electronic transistors. Currently, microchips are made up of billions of small pieces called transistors. Computers have become very fast, which has led to an increase in the number of transistors. According to Moore's Law, the number of transistors in integrated circuits will double every year. This law has been in effect since 1960 when it was first proposed by Gordon Moore, the founder of Intel; however, widespread technical problems will challenge this law in the coming years. If no new solutions for the advancement of transistors are provided, the processing power of computers will remain constant in the near future and will not see significant increases. Transistors have now become extremely small, and further miniaturization is not feasible in the near future. For this reason, engineers are trying to design computers based on light. Photons have a higher speed than electrons and fewer limitations. However, eliminating electrons in processors is very difficult, which is why new processors will use a combination of electrons and photons. These processors are currently at the laboratory stage, but if this technology emerges, our surrounding environment will undergo a fundamental transformation. Currently, with work on artificial intelligence and 3D imaging and the use of computers for self-driving cars, the need for very powerful processors is felt more than ever. It is likely that with the emergence of such high-speed processors, the development of artificial intelligence and various sciences will also undergo a fundamental transformation. However, until that day comes, work on current processors will continue, and in the near future, we will witness an increase in cores and the miniaturization and efficiency of current processors. For example, Intel has recently introduced its new generation of processors called 'Core i9,' which has 18 cores. The introduction of this generation of processors will transform the construction of powerful computers. This generation is in response to AMD's 16-core processor. Intel has also announced that the eighth generation of its processors, named Coffee Lake, will soon enter the market. The eighth generation will have 30% more processing power than the seventh generation. While Intel has unveiled its new processor, AMD has also announced the introduction of the new generation of 16-core Ryzen processors. These processors, given their lower price compared to Intel processors, are likely to face widespread acceptance. The speed of a computer's operation is more related to the speed of its processor than anything else, and the speed of the processor depends on the number of cores and the speed of each core. However, with the emergence of new processors in the future that work with a hybrid electronic-photonic method, the equations of the computing world will change.

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Translated from the original and edited for English readers. View original source →

Translation confidence: 85%

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