Tensorforce is built on top of Google's TensorFlow framework and requires Python ... with a modular design (and, arguably, also questionable whether it is important/desirable to support them). On the ...

Learn how to implement the AdaMax optimization algorithm from scratch in Python. A great tutorial for understanding one of ...

Adding to its standout features, the project boasts an oval-shaped indoor gym, designed as a wellness space that blends function with fluid design. Binghatti Aquarise also features an infinity pool ...

That motivates us to develop a design optimization framework, focusing on how to achieve an optimized grasping performance with a multi-objective design optimization. In this work, a simulation aided ...

When companies consider design as a core strategic function ... piece of the puzzle—at the expense of a seamless end-to-end customer experience. For example, a telecom's initiative to reduce call ...

In our examples we only considered pair-wise tradeoffs, but the extension to tradeoff surfaces in higher dimensions is straightforward, even though they tend to be more difficult to visualize.

catalyst design is accomplished by an integrated optimization approach, which includes the design of experiment, computational fluid dynamics (CFD) simulation, a response surface method, and a genetic ...

SPME method optimization can be achieved in a traditional univariate trial, studying each factor separately, or by a chemometric approach based on the use of an optimum set of experiments ...