Developers are increasingly relying on large language models (LLMs) for everyday computing tasks such as fixing bugs, ...

The shape of biological structures, ranging from flower petals to the limbs or organs of animals, is often naturally best ...

Abstract: We describe a convex programming approach to the calculation of lower bounds on the minimum cost of constrained decentralized control problems with nonclassical information structures. The ...

Modern software increasingly depends on data structures that go far beyond basic arrays and trees. Some of the most powerful systems rely on designs that rarely appear in traditional programming ...

More and more experts in scientific fields are finding out that AI systems are now matching — and bettering — them at specific tasks. The latest to discover this is none other than Donald Knuth, the ...

The goal of the course is to improve programming and problem-solving skills of the students by facing them with difficult problems and by presenting the techniques that help their reasoning in the ...

IIT Mandi has launched a beginner-friendly AI and Data Science program designed for students and professionals looking to upskill. This 9-month course covers essential and advanced concepts, preparing ...

Abstract: The heuristics in mixed-integer linear programming (MILP) solvers are mostly general-purpose, which can only recognize some common structures. It sometimes may be challenging for them to ...

This page provides a link to TurboParser, a free multilingual dependency parser developed by André Martins. Dependency parsing is a lightweight syntactic formalism that relies on lexical relationships ...

In 2022, a team of computer scientists presented a groundbreaking algorithm for the maximum flow problem: How does one transport the most supplies from a source node to a sink node in a network while ...