Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and IoT through spiking neural networks and next-gen processors.
Professor Joongoo Kang's team from the Department of Physics and Chemistry at DGIST and Professor Sohee Jeong's team from the Department of Energy Science at Sungkyunkwan University have developed a ...
Could a future exist where the brain and artificial intelligence systems communicate as effortlessly as a smartphone connecting to Wi-Fi? This may sound like science fiction, but researchers are ...
Quantum computing could tackle problems once thought impossible to solve.
What happens when the growth of computing demand becomes so rapid that even the best systems become unable to match it? This became a pressing question in the year 2025, as the areas of quantum ...
What I am looking at is not just the most powerful computer in the world, but the key to financial security, Bitcoin, ...
Alphabet is a leader in both AI and quantum computing. Taiwan Semiconductor chips will be used regardless of the technology. Nvidia is bridging the gap between traditional computing and quantum ...
Chinese President Xi Jinping said 2025 was the year of breakthroughs for Chinese artificial intelligence and semiconductor ...
Professor Joongoo Kang's team from the Department of Physics and Chemistry at DGIST and Professor Sohee Jeong's team from the Department of Energy Science at Sungkyunkwan University have developed a ...
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