An ultrathin ferroelectric capacitor, designed by researchers from Japan, demonstrates strong electric polarization despite being just 30 nm thick including top and bottom electrodes—making it suitable for high-density electronics. Using a scandium-doped aluminum nitride film as the ferroelectric layer, the team achieved high remanent polarization even at reduced thicknesses. This...
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Scientists in China have unveiled a new AI chip called LightGen that is 100 times faster and 100 times more energy efficient than NVIDIA chips, the leading supplier of AI chips worldwide. Instead of using electricity to move information, this new optical chip relies on light to perform complex generative...
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A cross-institutional team led by researchers from the Department of Electrical and Electronic Engineering (EEE), under the Faculty of Engineering at The University of Hong Kong (HKU), have achieved a major breakthrough in the field of artificial intelligence (AI) hardware by developing a new type of analog-to-digital converter (ADC) that...
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A collaborative team has achieved the first monolithic 3D chip built in a U.S. foundry, delivering the densest 3D chip wiring and order-of-magnitude speed gains....
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MIT researchers have developed a new fabrication method that could enable the production of more energy efficient electronics by stacking multiple functional components on top of one existing circuit....
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Artificial intelligence and machine learning could become dramatically more efficient, thanks to a new type of computer component developed by researchers at the University of California, Santa Barbara and Tohoku University, in collaboration with the Taiwan Semiconductor Manufacturing Company (TSMC)....
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Holding a conversation in a crowded room often leads to the frustrating "cocktail party problem," or the challenge of separating the voices of conversation partners from a hubbub. It's a mentally taxing situation that can be exacerbated by hearing impairment....
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The expansion of data centers to power the AI boom has more people wondering: what exactly is in a data center?...
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Developing chips that simulate how the brain works has great promise for AI, robotics, and other fields. But making them so that they're scalable while providing repeatable results has proven tricky. Now, a Yale-led team of researchers has put forth a solution. The results are published in Nature Communications....
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Addressing the staggering power and energy demands of artificial intelligence, engineers at the University of Houston have developed a revolutionary new thin-film material that promises to make AI devices significantly faster while dramatically cutting energy consumption....
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Amazon Web Services launched its in-house-built Trainium3 AI chip on Tuesday, marking a significant push to compete with Nvidia in the lucrative market for artificial intelligence computing power....
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The Mexican government will build a supercomputer with a processing capacity seven times greater than the current most powerful computer in Latin America, officials responsible for the project said Wednesday....
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Recent research from a University of Adelaide academic has outlined the gap between scientific reality and whether a promising technology reaches commercial production. Adjunct Lecturer Dr. Dominic Lane, School of Electrical and Mechanical Engineering, has been exploring the world of ULTRARAM, a widely promoted III–V semiconductor memory concept claimed to...
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In a breakthrough in radar technology, researchers from the City University of Hong Kong (CityUHK) have developed the world's first integrated photonic millimeter-wave radar chip, achieving unprecedented precision in a remarkably compact device. This breakthrough represents a significant step forward in the development of Integrated Sensing and Communication (ISAC) networks,...
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A team led by the BRAINS Center for Brain-Inspired Computing at the University of Twente has demonstrated a new way to make electronic materials adapt in a manner comparable to machine learning. Their study, published in Nature Communications, introduces a method for physical learning that does not require software algorithms...
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