This algorithm computes the maximum traffic flow with minimum transport costs for any type of network. It thus solves a key question in theoretical computer science.

There is a new sorting algorithm a deterministic O(m log2/3 n)-time algorithm for single-source shortest paths (SSSP) on ...

I believe computer science is the cornerstone of all technological advancements in the business world.

The discipline of computer science encompasses theory, experimentation, and engineering design. The 18-credit minor in computer science introduces you to foundational computer science topics and ...

Similarly, the Hamiltonian learning algorithm offers a robust framework for addressing complex challenges in quantum mechanics, with potential applications in material science, quantum hardware ...

One computer scientist’s “stunning” proof is the first progress in 50 years on one of the most famous questions in computer science. Illustration: Irene Pérez/Quanta Magazine ...

By clicking to watch this video, you agree to our privacy policy. Video: In 2023, computer scientists made progress on a new vector-driven approach to AI, fundamentally improved Shor’s algorithm for ...

The algorithms are trained largely on white faces and therefore may be less accurate at distinguishing between faces of people of color. Ethical issues in computer science ...

In 2013, the University of Texas at Austin’s computer science department began using a machine-learning system called GRADE to help make decisions about who gets into its Ph.D. program -- and who ...

Similar analogies exist in the area of autonomous vehicles. Overall, machine learning seems to define the notion of probabilistic algorithms in computer science in a similar manner as quantum physics.

So: algorithm, artificial intelligence, machine learning, neural networks. In popular cant, these refer to the same thing: computer programs that learn.

An algorithm used to inform healthcare decisions for millions of people shows significant racial bias in its predictions of the health risks of black patients.