Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Microsoft launches three in-house AI models for transcription, voice, and image generation, challenging OpenAI and Google with lower-cost systems.

Abstract: This paper evaluates the efficacy and usage of a proposed model built on the encoder-decoder Transformer for the purposes of modeling harmonic progressions rooted in the Western tonality ...

The encoder employs a DenseNet-B (bottleneck) architecture with three dense blocks separated by transition layers. Each bottleneck layer consists of a 1x1 convolution (expanding to 4x growth rate) ...