An enthralling look at how computer scientists have crossed the line between machines and living organisms Despite being marvels of complexity and human ingenuity, computers are notoriously bad at learning new things and dealing with new situations. Researchers at the frontiers of computer science have turned to nature for solutions to the problem of machine adaptation and learning. By applying models of complex biological systems to the realm of computing machines, they have given rise to a new breed of adaptive software and hardware. In Machine Nature , computer scientist Moshe Sipper takes readers on a thrilling journey to the terra nova of computing, to provide a compelling look at cutting-edge computers, robots, and machines now and in the decades ahead,
Moshe Sipper writes stories where science meets imagination. A professor of artificial intelligence and award-winning scientist, he has published over 220 scientific works and taught around the world.
His research explores topics from deep learning to genetic programming.
Alongside his academic career, he writes fiction that blends imagination with thought-provoking ideas. His books span science fiction, thrillers, absurdist humor, young adult and middle-grade fiction, biblical fiction, and cartoons.
He also writes popular science and computer science books that make complex ideas accessible to a broad audience.
Whether through fiction or nonfiction, his writing invites readers to explore surprising questions, strange worlds, and the possibilities of the future.
This is a solid survey of the popular and the more esoteric research areas in biologically inspired computing. It does well to weave them together to a degree but ultimately it is a survey and has examples of each with many references at the end as well for those inclined to dig deeper. It’s holding up decently for the novice so far over time.