Online sleep and dream communities are beginning to build vast collections of dreams and related sleep data. These communities should establish baseline data formatting conventions to make future collaborative efforts possible and fruitful.
In the ancient world soothsayers preyed upon the innocent and gullible offering them arcane dream interpretations and "healing" metaphors for their dreams. Modern "experts" are little better in this regard.
Advances in machine learning has allowed scientists to build a machine that can learn pairings of neural signatures and sleep images. These machines can now predict dream content based on brain scans obtained during sleep.