Deep learning and other AI applications increasingly rely on graphics processing units GPUs adapted from gaming, which can handle parallel operations, while companies like Google, Microsoft, and Baidu are designing AI chips for their own particular needs. AI, particularly deep learning, has a huge appetite for computer power, and specialized chips can greatly speed up its performance, says Thompson.
But the trade-off is that specialized chips are less versatile than traditional CPUs. Quantum computing, carbon nanotube transistors, even spintronics, are enticing possibilities—but none are obvious replacements for the promise that Gordon Moore first saw in a simple integrated circuit. We need the research investments now to find out, though. A solution to P vs NP could unlock countless computational problems—or keep them forever out of reach.
The US government is starting a generation-long battle against the threat next-generation computers pose to encryption. Discover special offers, top stories, upcoming events, and more. Thank you for submitting your email! It looks like something went wrong. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at customer-service technologyreview. Skip to Content. The April Electronics Magazine in which Moore's article appeared.
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Personal Finance. Your Practice. Popular Courses. Table of Contents Expand. What Is Moore's Law? Understanding Moore's Law. Nearly 60 Years Old; Still Strong. Moore's Law's Impending End. Creating the Impossible? Special Considerations. Key Takeaways Moore's Law states that the number of transistors on a microchip doubles about every two years, though the cost of computers is halved. Moore, the co-founder of Intel, made this observation that became known as Moore's Law.
Another tenet of Moore's Law says that the growth of microprocessors is exponential. Article Sources. Investopedia requires writers to use primary sources to support their work. These include white papers, government data, original reporting, and interviews with industry experts. We also reference original research from other reputable publishers where appropriate.
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The offers that appear in this table are from partnerships from which Investopedia receives compensation. Moore made his original prediction to encourage sales of ever more complex Fairchild Semiconductor chips. With new data, in he revised his prediction forecasting that IC density would double every two years.
As IC chips grew larger and more densely packed with smaller transistors, the wafers they were fabricated on also grew. This combination reduced the cost per transistor from several dollars in the early s to cheaper than a grain of rice today.
One micron is one thousandth of a millimeter, or one millionth of a meter.
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