U.S. Federal agency officials claimed earlier this week that in-house work to develop AI technologies is picking up, but they also warned that the still-experimental nature of those approaches makes it hard to envisage when products and services will come out from them.
Speaking at an event conducted by NVIDIA, Dell EMC, and Government Acquisitions, automation lead at the National Geospatial-Intelligence Agency, Todd Myers said that AI research is the current priority at his agency, rather than speeding to roll out AI-based products. He said his agency is trying an organic path to AI development that befitting a developing technology and allows for broader experimentation with in-house development efforts. On the development frontage, Myers said his agency is allowing AI developers by providing them with whatever palette they want. And on the systems facade, he said the agency, for now, is trying to stay away from the idea of system integrators building systems in their factories and then showing up at their door. Senior scientist, Intelligent Systems, at the Army Research Laboratory, Dr. Brian Sadler noted that they have to embrace viral development. While AI algorithm development is progressing, development of products based on that work has a less certain timing. He further said that when just talking about algorithms, the time scale is getting complex.
During a separate presentation, CTO at Government Acquisitions, Prem Jadhwani pointed out that AI and Machine Learning are huge disruptive technologies whose development is just beginning. He said that the timeline for that development starts with the Artificial Narrow Intelligence that exists today in which AI can do one thing very well, but is supposed to progress in 20 years to Artificial General Intelligence, which does multiple things well. Jadhwani added that 40 years from now an artificial superintelligence will be realized where machines are collectively smarter than humans.
Additionally, he expressed that the current development wave of AI and Robotic Processing Automation (RPA) technology should push Cybersecurity applications including analyzing huge amounts of system log data, which in turn can free up parts of the workforce for retraining to expand the Cybersecurity workforce. That type of application is the low-hanging fruit that the agencies can start with.