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Neural decoding is the study of what information is available in the electrical activity (action potentials) of individual cells or networks of neurons. Studies of neural decoding aim to identify ...

The Institute for Solid State Physics, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa-shi, Chiba 277-8581, Japan ...

The affected cars are Kona N (OS) and i30 Sedan N (CN7) models, made between 2020 and 2023. The defect is in the fuel control valve of these models. “If this occurs, the engine could stall ...

Just as GPUs once eclipsed CPUs for AI workloads, Neural Processing Units (NPUs) are set to challenge GPUs by delivering even faster, more efficient performance—especially for generative AI, where ...

Learn More A new neural-network architecture developed by researchers at Google might solve one of the great challenges for large language models (LLMs): extending their memory at inference time ...

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These hairs convert vibrations from sound waves into neural signals that your auditory nerve carries to your brain. Exposure to sounds louder than 85 decibels can damage these hairs. Eighty-five ...

To enhance quality control and safety, nondestructive testing (NDT) methods, such as active infrared thermography (AIRT), are used for defect detection. In this study, we propose a physics-informed ...

Red Hat, the IBM-owned open-source software giant, has completed its acquisition of Neural Magic, a pioneering artificial intelligence (AI) optimization startup. Initially announced in November ...

SpectX, TNO, and partners GE Vernova and LM Wind Power, will start a 2-years project to detect sub-surface defects in wind turbine blades by drone X-ray inspection. The findings will be integrated ...