Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
The U.S. Army is formalizing a new career path that allows officers to specialize in artificial intelligence and machine ...
Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...
The Chinese AI lab may have just found a way to train advanced LLMs in a manner that's practical and scalable, even for more cash-strapped developers.
Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and ...
Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
Overview: AI skills in 2026 require both technical understanding and the ability to apply them responsibly at work.Machine ...
Abstract: Neurofeedback training (NFT) has been widely used in motor rehabilitation. However, NFT combined with motor imagery-based brain-computer interface (MI-BCI) faces challenges such as mental ...
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Does Nvidia’s Groq licensing mega-deal expose a quiet weak spot in its AI chip empire?
The Groq deal underscores Nvidia’s push to strengthen its position in AI inference, a faster-growing, more recurring-revenue ...
Nvidia's 600,000-part systems and global supply chain make it the only viable choice for trillion-dollar AI buildouts.
In 2023, OpenAI trained GPT-4 on Microsoft Azure AI supercomputers using tens of thousands of tightly interconnected NVIDIA GPUs optimized for massive-scale distributed training. This scale ...
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