The field of machine learning (ML) is sufficiently young that it is still expanding at an
accelerating pace, lying at the crossroads of computer science and statistics, and at the core …

Personalized treatments are gaining momentum across all fields of medicine. Precision
medicine can be applied to neuromodulatory techniques, in which focused brain stimulation …

The commodification of space is resulting in larger numbers of satellites requiring
increasingly complex operation and logistics and servicing support. The current standard of …

The advanced information technology has enabled supply chain to make centralized optimal
decision, allowing to make a global optimal solution. However, dealing with uncertainty is …

In response to the limitations of reinforcement learning and evolutionary algorithms (EAs) in
complex problem-solving, Evolutionary Reinforcement Learning (EvoRL) has emerged as a …

Evolution is a powerful problem-solving technique, extensively used for designing racing car
controllers, but with a series of challenges: an evaluation function that can separate the best …

Genetic algorithm (GA) is one of popular heuristic-based optimization methods that attracts
engineers and scientists for many years. With the advancement of multi-and many-core …

Increased production of electric cars due to climate change and global warming, and the
ability of self-driving systems in electric cars made its popularity soar. The problem with the …

With the recent advancement in artificial intelligence, autonomous vehicles have been a
significant area of reach. Companies like Tesla and Waymo by Google are leading …

Evolution sheds light on all of biology, and evolutionary dynamics underlie some of the most
pressing issues we face today. If we can deepen our understanding of evolution, we can …