Rather than integrating drones into current processes to gain efficiencies, agencies should identify unique problems the unmanned technology can solve.
Artificial intelligence will be a big part of the future acquisitions, particularly regarding air missile defense and other weapons systems, an Army acquisition exec says.
When we communicate face-to-face there is an expectation of mutual attentiveness, but these norms could be wholly deconstructed if we were to have the majority of our conversations with non-humans.
The Quromorphic project aims to radically boost the amount of input data that can be processed by building neural networks that work on the principles of quantum mechanics.
The One Concern platform aims to deliver hyper-local damage assessments within 30 minutes.
The Federal Aviation Administration wants partners to help develop the data sharing capabilities required to remotely identify small unmanned aircraft systems in controlled airspace.
DARPA wants build artificial intelligence networks based on small flying insects' "impressive computational capabilities."
The intelligence community's research arm is looking for ways to protect information about the individuals in a training dataset.
Agencies are eyeing robotic process automation to streamline applications like data entry and help-desk functions to save time and money.
Artificial intelligence can be enlisted for prosaic chores like monitoring infrastructure that can save governments time and money.
The Army Research Lab wants to reduce the manpower needed to design and run large-scale simulation-based training events.
How can developers secure artificial intelligence applications when the underlying data is vulnerable to hackers?
Here are some great, no-cost resources that will help you transform your current programming skills to meet the AI and machine learning needs of the future.
HHS Accelerate, which used distributed-ledger technology, machine learning and artificial intelligence, can now go into production with live data.