The model can recognise different cell types, even from small fragments of a cell
While there are various practical applications of reinforcement learning, the concept as a whole poses some limitations when used in developing autonomous machine intelligence
The library aims to address key engineering challenges in scientific computing through better management and processing of large datasets.
Google Research has developed two models that can synthesise 3D models, videos, and worlds using a single image as input.
The channel will cover technologies from the GoogleAI blog in series like Meet a Researcher, ResearchBytes and Spotlights.
Minerva is built on Pathways Language Model (PaLM) with extended training on a 118GB dataset of scientific papers from arXiv and 38.5B tokens of mathematical data derived from web pages.
Block-NeRF is built on NeRFs and the recently introduced mip-NeRF extension.
GSPMD separates programming an ML model from parallelization and is capable of scaling most deep learning network architectures
The Google Earth Engine combines satellite imagery and geospatial data with powerful computing to help people and organizations understand how the planet is changing.
Anomaly detection is used to detect fraud and identify intrusions, and figure ecosystem disturbances.
The deep learning model developed by Google researchers is based on EfficientNet-B7 architecture, pre-trained on ImageNet.
Developed by Google’s Project Euphonia, the PnG NAT model helps recreate natural voices of people with speech impairments.