The historical pursuit of creating intelligent machines has culminated in the modern era of artificial intelligence. However, the efficacy of AI applications is contingent upon a nuanced understanding ...

Since the 1930s, the theory of computation has profoundly influenced philosophical thinking about topics such as the theory of the mind, the nature of mathematical knowledge and the prospect of ...

A major advance reveals deep connections between the classes of problems that computers can — and can’t — possibly do. At first glance, the big news coming out of this summer’s conference on the ...

In computational complexity theory, P and NP are two classes of problems. P is the class of decision problems that a deterministic Turing machine can solve in polynomial time. In useful terms, any ...

Graph theory has long provided a robust mathematical framework for investigating networks, relations and connectivity in both abstract and applied settings. Recent advances have markedly refined our ...

Our era is defined by a constant flow of information. Data from smartphones, wearables and environmental sensors, connected to sharing and analysis platforms, accompany us daily, creating a digital ...

Our research area encompasses the study of computation, computational models, computational complexity, algorithm design, algorithm verification, combinatorial optimization, computational biology and ...

Karlo Doroc receives funding from a University of Melbourne Graduate Research Scholarship from the Faculty of Business and Economics, a Kinsman Scholarship, and Australian Government Research Training ...

One of the biggest prizes in maths has been awarded to two people for their “foundational contributions to theoretical computer science and discrete mathematics”. László Lovász at the Alfréd Rényi ...

Computational neuroscientists taught an artificial neural network to imitate a biological neuron. The result offers a new way to think about the complexity of single brain cells. Our mushy brains seem ...