Evolutionary reinforcement learning is an exciting frontier in machine learning, combining the strengths of two distinct approaches: reinforcement learning and evolutionary computation. In ...

“Life” and “intelligence” are terms with heavily contested meanings. This discussion will offer a novel, unified perspective on both, as described in Blaise Agüera y Arcas’ new book, What Is ...

The control of biochemical fluxes is distributed, and to perturb complex intracellular networks effectively it is often necessary to modulate several steps simultaneously. However, the number of ...

When you first stumble across the term “quantum computer,” you might pass it off as some far-flung science fiction concept rather than a serious current news item. But with the phrase being thrown ...

The rearrangement of the rows and the columns in a table can considerably increase the conciseness of a presentation. Despite this well-known fact no general principle has been proposed for the ...

With all the excitement over neural networks and deep-learning techniques, it’s easy to imagine that the world of computer science consists of little else. Neural networks, after all, have begun to ...

Until recently, virtually all the computing effort done on servers. Traditional server CPUs have made enormous improvements in performance over the last several decades. Recognizing the growing ...

I was reading Cloud computing: Love it or hate it? over on the ComputerWorld website this morning and thought that the article offered some interesting views on cloud computing. What seems clear to me ...

A professor recently developed an evolutionary computation approach that offers researchers the flexibility to search for models that can best explain experimental data derived from many types of ...