Grand Challenges for Computational Intelligence

Grand Challenges for Computational Intelligence

The expansive research field of computational intelligence combines various nature-inspired computational methodologies and draws on rigorous quantitative approaches across computer science, mathematics, physics, and life sciences. Some of its research topics, such as artificial neural networks, fuzzy logic, evolutionary computation, and swarm intelligence, are traditional to computational inte...

Grand challenges in computational physics

Grand challenges in computational physics

Foundations and Grand Challenges of Artificial Intelligence

with the potential for highest payoff. As the size of investment in AI rises above the noise level, we can no longer expect people to fund us on blind faith. We are entering an era of accountability. Rather than being concerned, I think we should view this as a challenge and lay out our vision for the future. My first reaction to Simpson’s request was, “Hey, we have nothing to worry about.” Our...

Grand Challenges in Bioinformatics and Computational Biology

The terms “bioinformatics” and “computational biology” are only about 20 years old – their first appearance in the Medline database may have been as the keywords for the 1990 article describing the first steps of the National Center for Biotechnology Information (Benson et al., 1990). But the mathematical approaches toward the analysis of the structure, function, and evolution of biopolymers ha...