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The Computing Pioneer Helping AI See | Quanta Magazine

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When Alexei Efros moved with his family from Russia to California as a teenager in the 1980s, he brought his Soviet-built personal computer, an Elektronika BK-0010. The machine had no external storage and overheated every few hours, so in order to play video games, he had to write code, troubleshoot, and play fast — before the machine shut down. That cycle, repeated most days, accelerated his learning. “I was very lucky that this Soviet computer wasn’t very good!” said Efros, who laughs easily and speaks with a mild Russian accent. He doesn’t play as many games nowadays, but that willingness to explore and make the most of his tools remains. In graduate school at the University of California, Berkeley, Efros began hiking and exploring the Bay Area’s natural beauty. It wasn’t long before he began combining his passion for computers with his enjoyment of these sights. He developed a way to seamlessly patch holes in photographs — for example, replacing an errant dumpster in a photo of a r

The Computing Pioneer Helping AI See | Quanta Magazine Home The Computing Pioneer Helping AI See Read Later Share Copied! Comments Read Later Read Later Q&A The Computing Pioneer Helping AI See By Susan D'Agostino October 24, 2023 Alexei Efros has spent his career learning how machines see differently from humans. Now he’s helping to bridge the gap. Read Later Alexei Efros studies how machines can understand the visual world. Peter DaSilva for Quanta Magazine Introduction By Susan D'Agostino Contributing Writer October 24, 2023 View PDF/Print Mode artificial intelligence computer science

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