Using archaeological evidence, historical records and cutting-edge 3D technology, experts have created the first scientifically accurate reconstruction of Nassau during the Golden Age of Piracy. The digital model strips away centuries of Hollywood myth to reveal what the notorious pirate stronghold actually looked like in the early 1700s. Far from a bustling colonial city lined with grand stone buildings, Nassau was little more than a ramshackle settlement of wooden huts, pirate camps and crumbling ruins. The reconstruction also revives some of history's most infamous buccaneers, including Blackbeard, Anne Bonny, Calico Jack Rackham and Benjamin Hornigold, using AI based on historical engravings and contemporary descriptions. The recreations will feature in the finale of Wreckwatch TV's series about the real pirates of the Caribbean, Mystery of the Pirate King's Treasure.

Mining and exploring databases should provide users with knowledge and new insights. Tiles of data strive to unveil true underlying structure and distinguish valuable information from various kinds of noise. We propose a novel Boolean matrix factorization algorithm to solve the tiling problem, based on recent results from optimization theory. In contrast to existing work, the new algorithm minimizes the description length of the resulting factorization. This approach is well known for model selection and data compression, but not for finding suitable factorizations via numerical optimization. We demonstrate the superior robustness of the new approach in the presence of several kinds of noise and types of underlying structure. Moreover, our general framework can work with any cost measure having a suitable real-valued relaxation. Thereby, no convexity assumptions have to be met. The experimental results on synthetic data and image data show that the new method identifies interpretable patterns which explain the data almost always better than the competing algorithms.