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Category Theory for Programmers - Bartosz Milewski Gödel, Escher, Bach: An Eternal Golden Braid - Douglas Hofstadter Musashi - Eiji Yoshikawa Watership Down - Richard Adams Noble House - James Clavell Masters of Doom: How Two Guys Created an Empire and Transformed Pop Culture - David Kushner City and Its Uncertain Walls - Haruki Murakami Zen and the Art of Motorcycle Maintenance: An Inquiry Into Values - Robert M. Pirsig Shōgun - James Clavell Sun and Steel - Yukio Mishima Trust - Hernan Diaz The Worlds I See: Curiosity, Exploration, and Discovery at the Frontiers of AI - Fei-Fei Li Project Hail Mary - Andy Weir When the Heavens Went on Sale: The True Story of the Space Race to Conquer the Stars - Ashlee Vance Let My People Go Surfing: The Education of a Reluctant Businessman - Yvon Chouinard Atlas Shrugged - Ayn Rand Endurance: Shackleton’s Incredible Voyage - Alfred Lansing The End of the World and Hard-Boiled Wonderland - Haruki Murakami

“Zen and the Art of Moccamaster Maintenance” Introduction Last week I noticed that my Moccamaster KGB Select was leaking water during the brewing process. The water was dripping from the bottom of the machine, seemingly coming from the heating element. I started researching possible causes and went on trying to fix it, however, I was not able to find sufficient sources of information for a full disassembly online. The following concludes the full repair process, including the disassembly and deep-cleaning of the machine. A breakdown of what caused the leak is provided at the end. ...

What is the OpenCV Bin Picking Challenge? The OpenCV Bin Picking Challenge focuses on robotic object detection and manipulation in industrial settings. The core task involves identifying and localizing objects in bins - a common challenge in manufacturing and warehouse automation. Participants must develop algorithms that can accurately detect objects despite challenging conditions like overlapping, varying orientations, and complex lighting situations. The challenge specifically emphasizes the use of polarization imaging, which offers unique advantages over traditional RGB or depth imaging for detecting reflective objects. This approach helps address common industrial vision problems like glare and specular reflections that often confound conventional computer vision methods. ...