Among high school students and adults, girls and women are much more likely to use traditional, step-by-step algorithms to ...

Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and ...

Researchers introduce a group-driven initialization that fuses search history with graph modularity, boosting ...

Quantum computing promises extraordinary power, but that same power may expose new security weaknesses. Quantum computers are expected to deliver dramatic gains in processing speed and capability, ...

What does it take to detect a radio signal sent by extraterrestrial life to Earth? Two decades of work involving radio ...

Nicola Dell, a computer scientist studying the role of technology in intimate partner violence, cofounded the Center to End ...

“We are honored to partner with UMD, one of the world’s leading academic institutions in quantum computing,” said Sumit Kapur, Chief Executive Officer of Zapata Quantum. “This collaboration positions ...

In a sense, it sounds like that’s another facet of computational thinking that’s more relevant in the age of AI—the abstractions of statistics and probability in addition to algorithms and data ...

Abstract: With the continuous development of digital image processing algorithms, its application scenarios have been integrated from the simple research of a single image and a single algorithm to a ...

Abstract: This paper proposes a deep-learning computer vision algorithm to estimate hand roll angles for metric-based assessment of surgical suturing skills. The number of rolls metric, previously ...