Research in AI within the Computer Science Department at the University of California, Los Angeles is loosely composed of three interacting and cooperating groups: (1) the Artifical Intelligence Laboratory, at 3677 Boelter Hall, which is concerned mainly with natural language processing and cognitive modelling, (2) the Cognitive Systems Laboratory, at 4731 Boelter Hall, which studies the nature...

An algorithm to segment the intracranial compartment from PD-weighted MR images of the human head is described. If only a T1-weighted dataset is available for a given subject, an artifical PD-weighted dataset is computed from a dual-weighted reference by non-linear registration of the T1-weighted datasets, and the intracranial compartment is segmented from this artificial dataset. The performan...

Complementary and alternative medicine (CAM) is becoming an integral part of modern medicine. Complementary and alternative medicine therapy systems include natural medicinal products, nonpharmacological treatments, and counselling on health and lifestyle issues. Complementary and alternative medicine concepts are often elaborate, transcending biophysical models and employing the principles of ...

In this paper, we present a survey of the development of the technique of argument diagramming covering not only the fields in which it originated informal logic, argumentation theory, evidence law and legal reasoning – but also more recent work in applying and developing it in computer science and artificial intelligence. Beginning with a simple example of an everyday argument, we present an a...

We present an efficient simulation method for lifetime based tunneling in CMOS devices through layers of high-κ dielectrics, which relies on the precise determination of quasi-bound states (QBS). The QBS are calculated with the perfectly matched layer (PML) method. Introducing a complex coordinate stretching allows artifical absorbing layers to be applied at the boundaries. The QBS appear as th...

This paper presents a new way for mobile robots’ path planning which is based on the Evolutionary Artificial Potential Fields(EAPF) approach. The APF theory is a traditional method to plan path for a robot. The Evolutionary APF aims at helping a robot jump out of the local minimum point. Using a virtual goal to produce extra force and fixing the direction of the repulsive force are combined to ...

This review addresses the issue of bioengineering of artificial lymphoid organs.Progress in this field may help to better understand the nature of the structure-function relations that exist in immune organs. Artifical lymphoid organs may also be advantageous in the therapy or correction of immunodefficiencies, autoimmune diseases, and cancer. The structural organization, development, and funct...