In the late 1990s, the area of biomaterials saw the emergence of a new processing technique called 'electrospinning' that allows the production of nano- and microfibers.
The last decade has seen the integration of audio, video, and 3D graphics into traditional workloads as well as the emergence of new workloads dominated by the processing of data representing such information.
This is driven partly by consumer demands and partly by the emergence of new molecules, nanomaterials, advanced materials, and innovative processing technologies.
Although whole-genome sequencing and metagenomics hold great promise for characterizing pathogens for surveillance, outbreak detection, and detection of emergence of new pathogens, they also pose challenges for processing, analyzing, and interpreting large amounts of data.
In recent years, the complexity of embedded systems based on multiprocessor system-on-chip (MPSoC) architectures dedicated to very computationally demanding tasks in particular image processing applications has led to the emergence of new enhanced MPSoC design methodologies.
In computer vision and more particularly in vision processing, the impressive evolution of algorithms and the emergence of new techniques dramatically increase algorithm complexity.
The recent emergence of new high performance computing (HPC) architectures, such as multi-core CPUs, Graphic Processing Units (GPUs), and Field Programmable Gate Arrays (FPGAs), offers significant speed up if the method can be effectively mapped.
This paper presents a short historical perspective of the emergence of new issues related to the cortical architecture and its functional consequences on the processing of geometrical properties.
Over multiple generations, this process can lead to the emergence of new species.
The emergence of new faces led nicely into the KSL.
And protecting old champions hindered the emergence of new ones.
