Van Essen adds, «The proof will be in the pudding in terms of which
types of modeling efforts will make the fastest progress.»
Not exact matches
Theoretical
efforts to describe new
types of «dark matter» particles imply that the standard
model's Higgs could have several cousins.
The parts list for the human brain is longer, so it will take many years
of effort to
model every neuron
type in the human brain.
Current
efforts, mostly conducted in animal
models, involve attempting to derive and aggregate embryonic stem cells, exposing them to such factors as acetic acid, allowing them to differentiate, or specialize, and then sorting through these cells to extract the cell
types of interest.
There are multiple
models for this
type of public - private research and development
effort in bio-medicine, defense and other fields.
Effectively applying AI involves extensive manual
effort to develop and tune many different
types of machine learning and deep learning algorithms (e.g. automatic speech recognition, natural language understanding, image classification), collect and clean the training data, and train and tune the machine learning
models.
Here, thickness data, which are sorely lacking but available in a few locations as the result
of International Polar Year
efforts and from satellite - derived estimates
of ice age or
type, constrain
modeled thickness distributions.
Recent
efforts to consistently address both
types of cloud representations represent a significant advance in large scale -
modelling (Jacobson, 2003; Lohmann, 2008; Suzuki et al., 2008).
This
type of partnership, predicated on the notion
of regional ocean governance - in which local, state and federal authorities cooperate across issues and political boundaries to address ocean and coastal issues - will provide an ideal
model for how to effectively coordinate conservation
efforts at multiple levels
of government.
The present study integrates the two
types of channel satisfaction into the research
model in an
effort to make results comparable.