May 20, 2020

I recently received an email from one of you who lives far from the major AI hubs, saying, “I feel like I’m all alone.” I want to tell you all: Even if it sometimes feels like you’re facing the challenges of work and life in isolation, you are not alone!

The pandemic has radically altered online shopping behavior, throwing a wrench into many AI systems. AI inventory trackers, recommendation algorithms, and fraud detection systems trained on pre-pandemic consumer behavior have been flummoxed by the different ways people now browse, binge, and buy.

Few-shot learning seeks to build models that adapt to novel tasks based on small numbers of training examples. This sort of learning typically involves complicated techniques, but researchers achieved state-of-the-art results using a simpler approach.

Researchers are drawing up blueprints for drugs to fight Covid-19. Machine learning is identifying those most likely to be effective. Covid Moonshot, an international group of scientists in academia and industry, is crowdsourcing designs for molecules with potential to thwart the coronavirus.

Music that features a “singing” koala bear took the prize in one of Europe’s highest-profile AI competitions yet. A team of Australian programmers, designers, and musicians won the inaugural AI Song Contest with a koala-tinged track called “Beautiful the World.”

Like nurses who can’t decipher a doctor’s handwriting, machine learning models can’t decipher medical scans — without labels. Conveniently, natural language models can read medical records to extract labels for X-ray images.

Facebook’s AI can’t spot Covid-19 disinformation on its own. But with human help, it can slow the spread. Facebook uses a combination of humans and neural nets to crack down on messages that make false claims about Covid-19, which may have deadly consequences.

I recently received an email from one of you who lives far from the major AI hubs, saying, “I feel like I’m all alone.” I want to tell you all...