Get curated editors’ picks, peeks behind the scenes, film recommendations and more.
Working in artificial intelligence for decades, Alexei Efros, a computer scientist at the Berkeley Artificial Intelligence Research Lab, suddenly finds himself in a world where his once-niche field has become an increasingly pronounced part of everyday life for millions. The fruits of his breakthroughs in computer ‘vision’ can be found in smartphones, photo-editing technology, self-driving cars and more. In this documentary profile from Quanta Magazine, Efros gives a brief history of computer vision for AI from the 1960s to today, details how his poor eyesight proved advantageous in his work and explains why there’s much more to machine learning than building an algorithm. He also discusses how, in his lab, he and the next generation of researchers are working to address pressing problems in contemporary AI, such as human bias.
Video by Quanta Magazine
Seven years later, what can we make of our first confirmed interstellar visitor?
Is it possible to design a shape to roll along any fixed path?
The two women behind a world-changing scientific discovery
Rituals and celebrations
Meet the entrepreneur whose business is crafting perfect peak experiences
Human rights and justice
A reporter orphaned by night raids in Afghanistan investigates their cruel legacy
Does capitalism make ‘non-playable characters’ of us all? An uncanny exploration
‘I listen to the land’ – poetry and greenery intertwine in Emilio Ambasz’s architecture
Design and fashion
The ornate, the aromatic, the cruel – Valentine’s cards before the age of Hallmark
Why surgery and barbering were one occupation in the Middle Ages