In March 2018, one of Uber’s self-driving cars became the first autonomous vehicle reported to have killed a pedestrian. A new report by U.S. authorities suggests that the accident occurred because the car’s software was
Robotic Control, Easy as Apple Pie
Robots designed to assist people with disabilities have become more capable, but they’ve also become harder to control. New research offers a way to operate such complex mechanical systems more intuitively.
Who’s Minding the Store?
Amazon, watch your back. There’s a new player in the book business and, unlike Jeff Bezos, it doesn’t need eight hours of sleep a night.What’s new: The online bookstore Booksby.ai is run entirely by AI. Neural
Banking on Automation
The UK’s banking industry is using AI in many facets of the business.What’s new: A survey of financial firms in the UK found that nearly two-thirds of respondents have deployed machine learning technology. Many said
Unfinished Artwork? No More
Generative networks can embroider sentences into stories and melodies into full-fledged arrangements. A new model does something similar with drawings.What’s new: Researchers at the University of Oxford, Adobe Research, and
Take That, Humans!
At the BlizzCon gaming convention last weekend, players of the strategy game StarCraft II stood in line to get walloped by DeepMind’s AI. After training for the better part of a year, the bot has become one of the world’s top players.
DeepMind Masters StarCraft 2, AI Attacks on Amazon, A Career in Robot Management, Banks Embrace Bots
Building AI systems is hard. Despite all the hype, AI engineers struggle with difficult problems every day. For the next few weeks, I’ll explore some of the major challenges. Today’s topic: The challenge of building AI systems that are robust to real-world conditions.