The recommendations are part of a roadmap to improve technology modernization in government.

Techniques like transfer learning have come a long way and were used to fine-tune models so they could read end-user license agreements.

The overall goal is to increase engagement with the platform, among both agencies and challenge solvers.

The winning technologies use X-ray and radio frequency detection to find illicit substances in packages in the mail.

The challenge is also a way for the agency to engage with up and coming talent.

The broad goal here is to speed up the disaster recovery process.

The space agency wants autonomous machines to help support long-term space exploration. Among the tasks: capturing resources on the lunar surface.

Could measuring how X-rays are diffracted when they pass through a parcel help find illicit drugs?

The June 19 event is scheduled to take place simultaneously at eight GSA locations across the county.

The government wants solvers to "demonstrate the potential" of this kind of public-private partnership to solve government problems.