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Call it the return of Clippy — this time with AI. Microsoft’s new small language model shows us the future of interfaces.
We present an auto-encoder/decoder (Auto-ED) deep neural network that can learn the deep representation and conduct classification task concurrently. Since the property of cost-effective, the ...
We present a novel and practical deep fully convolutional neural network architecture for semantic pixel-wise segmentation termed SegNet. This core trainable segmentation engine consists of an encoder ...
Microsoft is aggressively pushing genAI features into the core of Windows 11 and Microsoft 365. The company introduced a new ...
Thanks to the neural network, the researchers now suspect, for example, that the black hole at the center of the Milky Way is spinning almost at top speed. Its rotation axis points to Earth.
Recent brain-computer-interface (BCI) devices have made it possible to translate neural activity directly into text and even ...
H.264 Encoder H.264 Decoder H.265 Encoder H.265 Decoder SmartDV will be highlighting its new H.264 and H.265 Video Encoder and Decoder IP at DAC 2025. If you are attending, we invite you to stop by ...
A man with a severe speech disability is able to speak expressively and sing using a brain implant that translates his neural activity into words almost instantly. The device conveys changes of ...
Binunya, F. and Zhou, H. (2025) Multilingual Text Recognition and Assistance for Low-Resource Languages Using Computer Vision. Open Access Library Journal, 12, 1-20. doi: 10.4236/oalib.1113574 .
Mu is built on a transformer-based encoder-decoder architecture featuring 330 million token parameters, making the SLM a good ...
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