The Department of Defense reportedly expects to increase its use of unmanned aerial systems (“drones”) by nearly 50% in the next few years. At the same time, however, the rate of DoD’s procurement of drones is projected to decline sharply from FY2016-2020.
The Congressional Research Service takes note of the seeming contradiction and proposes several possible explanations to resolve it. See How Many UAVs for DoD?, CRS Insights, August 27, 2015.
Other new and updated CRS publications that became public last week include the following.
Policy Implications of the Internet of Things, CRS Insights, August 25, 2015
Health Insurance: Small is the New Large, CRS Insights, August 26, 2015
Gold King Mine Spill May Renew Interest in “Good Samaritan” Legislation, CRS Insights, August 27, 2015
Financial Regulatory Improvement Act Included in Senate Appropriations Bill, CRS Insights, August 27, 2015
Terrorism Victims Sue to Enjoin Sanctions Relief under the Iran Nuclear Agreement, CRS Legal Sidebar, August 27, 2015
District of Columbia: A Brief Review of Provisions in District of Columbia Appropriations Acts Restricting the Funding of Abortion Services, updated August 27, 2015
Drug Testing and Crime-Related Restrictions in TANF, SNAP, and Housing Assistance, updated August 28, 2015
The Patient Protection and Affordable Care Act’s Essential Health Benefits (EHB), August 27, 2015
Navy Ship Names: Background For Congress, updated August 26, 2015
Outcome-Based Contracting reframes procurement around the staged achievement of measurable mission outcomes rather than the delivery of predefined technical artifacts.
The real opportunity of AI lies not just in the tools, but in an educator workforce prepared to wield them. When done right, this investment in human infrastructure ensures AI accelerates learning outcomes for all students, closing the “digital design divide.”
If carbon markets are going to play a meaningful role — whether as engines of transition finance, as instruments of accurate pricing across heterogeneous climate interventions, or both — they need the infrastructure and standards that any serious market requires.
Good information sources, like collections, must be available and maintained if companies are going to successfully implement the vision of AI for science expressed by their marketing and executives.