Finding an analogy in the legal philosophy of Oliver Wendell Holmes Jr., the authors provide a penetrating and fine-grained examination of artificial intelligence, a rich and forward-looking approach that should restrain exaggerated claims and guide a realistic assessment of AI's prospects.

The'Scientific Programming with C ' is easiest and the most innovative and complete hands-on practical C course on the Udemy Platform for learning scientific and research data programming! While languages like Python and R are increasingly popular for Scientific Programming or Data sciences, C/ C can be a stronger choice for efficient and effective data and scientific computing. The focus of this course lies on learning beginner to advanced programming on high-performance computers, object-oriented software design, generic or template-based programming, and the efficient implementation of numerical algorithms. C is the best choice for efficient and effective programming in Research Data mining & Scientific Computing. Learn from the basics of C to the advanced and useful libraries like STL, BOOST, OpenMP and MPI! Main learning goals in this awesome course can be formulated as: The focus of this course lies on aspects of software development like programming on high-performance computers, object-oriented software design, generic (template-based) programming, and the efficient implementation of numerical algorithms.

Joining the group We are looking for truly exceptional students and researchers to join our research group. Please see our projects page for more details. If you are a UTEP student and interested in joining our research group, please make an appointment with Dr. Sirimulla via ssirimulla@utep.edu Current open positions: Postdoctoral position in Cheminformatics/machine learning Successful candidates will have a Ph.D. in Computational chemistry, Computer Science, Bioinformatics or closely related disciplines and have previous experience with scientific programming and algorithm development. The successful candidate must have strong programming skills in Python (and C/C) a good understanding of machine learning techniques such as Neural networks and Deep learning.