AgiBot GO-1 will accelerate the widespread adoption of embodied intelligence, transforming robots from task-specific tools ...

Janus-Pro-7B is a generative model by DeepSeek with 7 billion parameters. The neural networks in Janus-Pro-7B are trained for ...

Transformers have found lots of success on the big screen and TV over the years, but their never-ending war made it to video games too. These are the finest ones. Autobots and Decepticons made ...

Early works in sparse coding and dictionary learning laid the foundation for structured data representations, later applied to transformers to decode contextual embeddings. Recent research has ...

For the ssMAE backbone network, we designed a transformer encoder-decoder network, where we replaced the linear layer that is used as the initial feature embedding with a 3-D convolutional layer to ...

The researchers first trained the brain decoder on a few reference participants the long way — by collecting functional MRI data while the participants listened to 10 hours of radio stories.

Originally introduced in a 2017 paper, “Attention Is All You Need” from researchers at Google, the transformer was introduced as an encoder-decoder architecture specifically designed for ...

Hasbro recently revealed a wild collaboration with Transformers and Monster Hunter, combining characters from the two iconic series into a single action figure. The Transformers x Monster Hunter ...