This time, they also used a machine-learning technique, known as "soft attention," to help pinpoint which parts of the image were most instrumental in driving the algorithms' prediction.
The algorithm driving the smaller level is actually more theoretically principled than the higher level in the sense that the physics is more fundamental: quantum mechanics or molecular dynamics vs. continuum mechanics.
In the example of the simulation of bulk matter mentioned above, for example, the algorithm driving the smaller level of description is not built by the seat-of-the-pants.
For problems that include constraints as well as an objective function, the optimality conditions discovered by the American mathematician William Karush and others in the late 1940s became an essential tool for recognizing solutions and for driving the behaviour of algorithms.
The algorithms driving the prices it generates are based on old pricing models that are of questionable accuracy.
Ultimately, these variables were an important component of the statistical model driving the Atlas2 variant calling algorithm.
The global datasets used in this study include daily surface meteorology records, satellite remote sensing data for driving the ET and PET algorithms, and precipitation and discharge records for the water balance analyses and ET validation.
Sir John Bell, a professor of medicine at Oxford university who led the government-commissioned review, said that NHS patient records are uniquely suited for driving the development of powerful algorithms that could transform healthcare and seed an "entirely new industry" in AI-based diagnostics.
Increased computing power and sensor data along with improved AI algorithms are driving the trend towards machine learning be run on the end device, such as smartphones or automobiles, rather than in the cloud.
This chapter presents various control algorithms for driving the wheeled mobile robots to the goal pose, along the reference path or trajectory.
