Nowadays, challenges like increasing product varieties or the demographic change, force companies to reinvent their organizational structure frequently.
Automotive industry, historically structured on the basis of a manufacturing company, is nowadays challenged on many subjects: sustainability, economic globalization, and new ways of consumption.
The lactate shuttle concept, alternative sets of lactate production, nowadays, challenges our comprehension about oxygen delivery and consumption.
Nowadays, the challenge is about providing important social relative information without explicit request definition.
Nowadays the challenge is to efficiently support scientists who generate more data than they can possibly look at and understand.
Exploration of sustainable fuels and their influence on reductions in diesel emissions are nowadays a challenge for the engine and fuel researchers.
1. Representation Learning: Datasets with high-dimensional features have become increasingly common nowadays, which challenge the current learning algorithms to extract and organize the discriminative information from the data.
Improving the survival of SCCO patients is nowadays a challenge for practitioners confronted with this pathology.
It was shown that the confinement between glass slides is not necessary to isolate form III, but the handling of the elusive polymorph in an air environment at standard conditions is still nowadays a challenge.
Nowadays, the challenge for biotechnology is to develop tools for agriculture and industry to provide plants characterized by productivity and quality that will satisfy the growing demand for different kinds of natural products.
