6. Comparable products for reference (military | civilian)
For submarines and radio-stations, WET waves bring the benefits of ULF
(Ultra Low Frequencies) without its inconvenients (low bandwidth,
interception, well-known technology, etc.).
At a very small fraction of the cost, WET waves will bring all the
promises that 5G failed to deliver, and will introduce new unknown
capacity (see point #5 above).
7. Manufacturing (what will be needed to create WET emitters/receivers)
a) new prototype platform that can evolve to add features and capacity,
b) much higher voltages (extended use-cases),
c) reconfigurable antennas (higher voltages),
d) finer frequency tuning (peer synchronization),
e) synchronization calculations (static applications),
f) dynamic synchronization (mobile applications),
e) massive parallelization (ultra high-bandwidth/low-latency).
Stage Capital Needs (CHF) Months Target
----- ------------------- ------ ------------------------------------
1 1,500,000 9 25m Faraday cages (limited mobility)
2 3,500,000 18 100m cages + water
3 5,000,000 18 All cases (static)
4 5,000,000 18 All cases (full-mobility)
Here 'water' is presented as a separate step (from Faraday cages) because
the associated challenge for boats and submarines is to bypass grounding.
8. List of industries that will be disrupted by the technology
The volume of batteries will reduce dramatically as electricity will be
remotely delivered losslessly from distributed redundant energy sources.
Renewable sources of energy will become more profitable as the distance
separating them from consumers will no longer imply transmission losses.
Cabling will slowly disappear as wireless transmissions will over-perform
cables technically and financially – both on long distances and locally
(energy-grid > building > vehicle > device > circuit > CPU > AI > nano).
The IoT will be much smaller, capable and cheaper: sensors, robots, AI,
drones, telecoms, energy grids, electric vehicles, medTech, finTech, etc.
AI: our slow human brains over-perform (in quality) the most expensive
computers for common tasks such as face recognition... because our brains
are massively parallelized and most of their actions are automatic (no
conscious logic involved). Our nervous system also learns and acts in a
decentralized, parallelized way as living cells communicate and learn
from each-other without any recourse to a centralized (bottleneck) unit.
In contrast, even the largest CPU arrays ever made offer a lower capacity
by many orders of magnitude, while wasting huge amounts of energy.
Let's make CPUs and AI the much better way Nature has made us work.
TWD Industries AG, Wireless Energy & Telecoms (WET) Page 2/2