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Midjourney is a generative artificial intelligence program and service created and hosted by the San Francisco-based independent research lab Midjourney, Inc. Midjourney generates images from natural language descriptions, called prompts, similar to OpenAI's DALL-E and Stability AI's Stable Diffusion. [1] [2] It is one of the technologies of ...
Visual area V2, or secondary visual cortex, also called prestriate cortex, [35] receives strong feedforward connections from V1 (direct and via the pulvinar) and sends robust connections to V3, V4, and V5. Additionally, it plays a crucial role in the integration and processing of visual information.
Diagram of the latent diffusion architecture used by Stable Diffusion The denoising process used by Stable Diffusion. The model generates images by iteratively denoising random noise until a configured number of steps have been reached, guided by the CLIP text encoder pretrained on concepts along with the attention mechanism, resulting in the desired image depicting a representation of the ...
Whisper is a machine learning model for speech recognition and transcription, created by OpenAI and first released as open-source software in September 2022. [2] It is capable of transcribing speech in English and several other languages, [3] and is also capable of translating several non-English languages into English.
A "proprietary" customization of Diffusion Notebooks amalgamated from what various contributors have been coordinating and running in Google colab/Jupyter Notebook services. (The packaged end-product for customers)Hooked up to a Discord chatbot/server as a service after viral Twitter mirroring of Dall-E Mini.
TPU v4 improved performance by more than 2x over TPU v3 chips. Pichai said "A single v4 pod contains 4,096 v4 chips, and each pod has 10x the interconnect bandwidth per chip at scale, compared to any other networking technology.” [ 28 ] An April 2023 paper by Google claims TPU v4 is 5-87% faster than an Nvidia A100 at machine learning ...
Anatomical and physiological studies have established that the colour centre begins in V1 and sends signals to extrastriate areas V2 and V4 for further processing. V4 in particular is an area of interest because of the strength of the colour receptive fields in its neurons. [4] V4 was initially identified in macaque monkey visual cortex ...
V3 connects to V1 (weak), V2, and the inferior temporal cortex. [14] [15] V4 recognizes simple shapes, and gets input from V1 (strong), V2, V3, LGN, and pulvinar. [16] V5's outputs include V4 and its surrounding area, and eye-movement motor cortices (frontal eye-field and lateral intraparietal area).