The coronavirus pandemic will radically accelerate automated self-service in the food sector.

As we organize human work and learning at fantastic scales, let’s strive for something inspiring.

A new industry of crowdsourced data labeling is fueling the expansion of artificial intelligence in China.

Engaging design is simple, intuitive, and critical to managing our increasingly complex relationship with machines.

Despite recent setbacks, automated self-service and fast food are on a collision course.

A merger between humans and machines is coming, and it’s not what you might think.

Microsoft Research shows how Artificial Intelligence can piggyback on our emotions in order to learn tasks.

Automation is ancient technology that, when fused with artificial intelligence, will utterly transform the economy and our place in the world.

Security cameras are sensors, integrated with machine learning and automation, to control human behavior.

What do we call the fusion of automation and machine learning?

Automated self-service is the front-end, automated self-service interface combined with the back-end, automated service operations.

Automated service platforms don’t just lead to large-scale unemployment in the services economy; they also redefine the nature of work.

The seeds of our primary interface with machine intelligence rest in the humble origins of the vending machine. Here is the brief story of this evolution of self-service.

The online grocery wars are heating up and the stakes are far bigger than any battle between Amazon and Walmart. The real story here is the automation of grocery stores and the service economy more broadly.

Automated self-service is Silicon Valley’s trick for automating the service economy and for fueling machine learning and the knowledge economy.

As sensors and machine learning fuse, they form a critical layer in the synthesis of machine and human intelligence.