In the new paper, the researchers suggest replacing the traditional 16-bit floating point weights used in Transformers with 3-bit ternary weights that can take one of three states: -1, 0 and +1.

Six members of Facebook AI Research (FAIR) tapped the popular Transformer neural network architecture to create end-to-end object detection AI, an approach they claim streamlines the creation of ...

Adeel evaluated his adapted transformer architecture in a series of learning, computer vision and language processing tasks. The results of these tests were highly promising, ...

CUSTOM TRANSFORMERS FOR CUSTOMER PROFILING ... It has been shown that the self-attention layer in Transformer architecture can be used to assign a reward by maximizing the dot product of query ...

For serious high-voltage plasma, you need a serious transformer. [Jay Bowles] from Plasma Channel is taking his projects to the next level, so he built a beefy 6000:1 flyback transformer. [Jay] fir… ...

Essential AI Labs Inc., a startup led by two co-inventors of the foundational Transformer neural network architecture, today announced that it has raised $56.5 million from a group of prominent backer ...