BIS-proposed Representative Category of “Emerging Technologies”

Posted by on February 22, 2020


The Bureau of Industry and Security (BIS) under U.S. Commerce Department (through an interagency process), on an on-going basis, will identify and control novel “emerging/foundational” technology not yet on pre-existing export control lists (USML/CCL). Once identified, CFIUS’s jurisdiction (with respect to either controlling or non-controlling investments) will synchronically expand to cover such item, on a rolling basis.  For example, on January 6, 2020, BIS identifies “software specially designed to automate the analysis of geospatial imagery” that triggers export/CFIUS clearance.  Set forth below is the list of BIS-proposed representative categories for “emerging technology” as of February 2020.

Annex 1: Representative Category of “Emerging Technologies”

(1) Biotechnology, such as:

(i) Nanobiology;

(ii) Synthetic biology;

(iv) Genomic and genetic engineering; or

(v) Neurotech.

(2) Artificial intelligence (AI) and machine learning technology, such as:

(i) Neural networks and deep learning (e.g., brain modelling, time series prediction, classification);

(ii) Evolution and genetic computation (e.g., genetic algorithms, genetic programming);

(iii) Reinforcement learning;

(iv) Computer vision (e.g., object recognition, image understanding);

(v) Expert systems (e.g., decision support systems, teaching systems);

(vi) Speech and audio processing (e.g., speech recognition and production);

(vii) Natural language processing (e.g., machine translation);

(viii) Planning (e.g., scheduling, game playing);

(ix) Audio and video manipulation technologies (e.g., voice cloning, deepfakes);

(x) AI cloud technologies; or

(xi) AI chipsets.

(3) Position, Navigation, and Timing (PNT) technology.

(4) Microprocessor technology, such as:

(i) Systems-on-Chip (SoC); or

(ii) Stacked Memory on Chip.

(5) Advanced computing technology, such as:

(i) Memory-centric logic.

(6) Data analytics technology, such as:

(i) Visualization;

(ii) Automated analysis algorithms; or

(iii) Context-aware computing.

(7) Quantum information and sensing technology, such as

(i) Quantum computing;

(ii) Quantum encryption; or

(iii) Quantum sensing.

(8) Logistics technology, such as:

(i) Mobile electric power;

(ii) Modeling and simulation;

(iii) Total asset visibility; or

(iv) Distribution-based Logistics Systems (DBLS).

(9) Additive manufacturing (e.g., 3D printing);

(10) Robotics such as:

(i) Micro-drone and micro-robotic systems;

(ii) Swarming technology;

(iii) Self-assembling robots;

(iv) Molecular robotics;

(v) Robot compliers; or

(vi) Smart Dust.

(11) Brain-computer interfaces, such as

(i) Neural-controlled interfaces;

(ii) Mind-machine interfaces;

(iii) Direct neural interfaces; or

(iv) Brain-machine interfaces.

(12) Hypersonics, such as:

(i) Flight control algorithms;

(ii) Propulsion technologies;

(iii) Thermal protection systems; or

(iv) Specialized materials (for structures, sensors, etc.).

(13) Advanced Materials, such as:

(i) Adaptive camouflage;

(ii) Functional textiles (e.g., advanced fiber and fabric technology); or

(iii) Biomaterials.

(14) Advanced surveillance technologies, such as:

Faceprint and voiceprint technologies.