By 2050, urban centers will house nearly 70% of the global population. Transitioning to localized food production via Urban Agriculture (UA) including ...

WWDC 2026 is just around the corner, and Apple has highlighted four Swift Student Challenge app winners. This year, Apple points out AI tools Swift Student Challenge winners are using to help bring ...

Abstract: Pathfinding is a fundamental problem for many areas, e.g., robotics, automation, computer-aided design, and computer graphics. Although outdoor pathfinding is fledged, indoor pathfinding ...

When Edsger W. Dijkstra published his algorithm in 1959, computer networks were barely a thing. The algorithm in question found the shortest path between any two nodes on a graph, with a variant ...

In a landmark moment for computing, Google has announced that its latest quantum processor, Willow, has achieved a staggering 13,000× speed advantage over the world's fastest classical supercomputers.

Cambridge startup Hiverge, launched by former Google DeepMind research leaders, has clinched $5 million seed funding to accelerate a pathfinding ‘algorithm factory’. It has been envisioned to solve a ...

Dijkstra’s algorithm remains a cornerstone of graph theory, but this new approach shows that optimizations are possible for specific use cases. Whether in navigation systems, logistics, or AI, the ...

There is a new sorting algorithm a deterministic O(m log2/3 n)-time algorithm for single-source shortest paths (SSSP) on directed graphs with real non-negative edge weights in the comparison-addition ...

For robots to be successfully introduced in a wider range of real-world settings, they should be able to safely and reliably navigate rapidly changing environments. While roboticists and computer ...

This study introduces an innovative method for gesture recognition in medical robotics, utilizing Capsule Neural Networks (CNNs) in conjunction with the Modified Spring Search Algorithm (MSSA). This ...

Table 1 Key Algorithms and Their Approaches and Limitations. Full size table Although the methods mentioned above are effective for solving multi-agent path planning problems, they mainly rely on ...