Mashable’s series Algorithms explores the mysterious lines of code that increasingly control our lives — and our futures. “The Algorithm” is impenetrable. It’s mysterious, it’s all-knowing, it’s ...

Probabilistic programming has emerged as a powerful paradigm that integrates uncertainty directly into computational models. By embedding probabilistic constructs into conventional programming ...

Primal methods constitute a common approach to solving (combinatorial) optimization problems. Starting from a given feasible solution, they successively produce new feasible solutions with ...

In this Artificial Intelligence podcast with Lex Fridman, computer scientist Donald Knuth discusses Alan Turing, Neural networks, machine learning and other AI topics from ant colonies and human ...

In contrast, DLIA industrial defect detection leverages the powerful multimodal understanding and generative capabilities of the DeepSeek model, upgrading visual recognition from "feature matching" to ...

Recently, a research team from the Rudolf Technology Center in Slovenia proposed a new method to optimize the sparse subgraph problem, which has wide applications in fields such as network analysis ...

This paper presents a constraint logic programming model for the traveling salesman problem with time windows which yields an exact branch-and-bound optimization algorithm without any restrictive ...

The next step is sending that list onto an order processing algorithm that goes out and buys or sells the stocks that have been selected. The code may seem hard to follow, but it’s one of the oldest ...

Get the latest federal technology news delivered to your inbox. U.S. service members are strong but they’re still people, and people get sick sometimes. But when one gets sick at the last minute, that ...