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Tissue Computing is a Key Enabler of the Internet of Things

For Immediate Release: March 21, 2022


The Internet of Things (IoT) is progressing, but its full potential requires a step-change in data processing capabilities that can only be achieved through neural, and possibly quantum computing. BCM Industries Inc., (BCM) has emerged as a global leader in tissue engineering, able to address the need for neural computers that offer near blinding processing speed and throughput, massive data storage capacity, and lighting fast data transfers. Unlike simulated neural processers that may attempt to deliver the machine learning and artificial intelligence (AI) required for the Big Data element of the IoT, BCM’s natural solution to enhanced processing is a family of Tissue Computers (TCs) populated with living neural tissue, delivering REAL neural computing, real (actual -not artificial) intelligence, and quite possibly (to be confirmed), quantum computing at normal temperatures (now limited to near-absolute zero).

As illustrated in the Figure, the IoT has three main operational segments. Segment [1] is the device layer, the “Things” that are connected to the Internet – providing and receiving data in support of a wide variety of specific applications. Segment [2] is the communications layer, where the data is transferred where needed by “Networks.” Segment [3] is the computing layer, delivering the required data “Processing” to achieve the vision of Big Data – vitally beneficial insights based on data meta-analyses and analytical intelligence – human, scientific, augmented, artificial, or otherwise.

Great technological progress in upgrading the infrastructure, and in raising the standard of living are being recorded in both Segments [1] and [2]. But serous issues need to be quickly addressed to enable Segment [3], Processing, to support the vision of Big Data.

Segment [1], the Things, includes both exterior and embedded sensors, routers, controllers, processors, software, and other items within a appliances, machines, equipment, sensors, or any “thing”, that allows local data to (1) be collected and delivered to the Network, and (2) received from the network, enabling connected devices to respond to commands, and thus be controlled for specific purposes.

Segment [2], the Networks, includes the satellite, 3G and 5G wireless, fiber, cable, low earth orbit (LEO including SpaceX/Starlink- Elon Musk, and Kepler Communications-Jeff Bezos), and other satellite systems, or any communication systems that provide the required data linkages to all of the connected Things, and also receive and distribute data between these billions of “Things” and the Network.

Segment [3], the Processing, is going to fail unless innovations in computing, most likely neural or quantum, or both, enable much faster data processing, throughput, and storage than presently possible based on today’s pervasive digital computing capabilities.

To understand the current deficiency in the ability of Segment [3] to fulfill the Processing needs of the IoT system, it necessary to consider and analyze the actual data processing requests, and the response and control processing volume, which must be provided to assure IoT service success.

Table 1 presents the number of facilities and enterprises that could be serviced by IoT. The regional areas selected, USA, Asia, and EU, do not cover the global but are representative of the developed world where smart housing, non-housing buildings, and small and mid-sized enterprises (SMEs) can embrace and utilize these new IoT services and applications. The analysis indicates that over 2 billion facilities and enterprises could become users/customers of the IoT system.

Table 2 establishes the volume of smart device requests for controlled review of the status of the smart device, and any controlling responses to be provided to the device. The analysis assumes an average number of monitored and reporting items, from a single smart home, of 1,000; from non-residential premises, 3,000 items; and from an average SME, 4,000 items.

The actual IoT system will support unscheduled and emergency smart device requests. However, these unscheduled requests are not expected to be significant resource draws on the processing system and have therefore been excluded from this analysis.

The analysis uses a four-time slot structure over a 6-hour period. The pooling ratio is set at one-fourth of all items monitored and added to these pooling tasks at each of the four pooling times. The four pooling times are every minute, every five minutes, every 30 minutes, and every 6 hours. As an example, using 1,000 items from a housing unit, the average pooling item volume is estimated at 250, 500, 750 and 1,000 items in the timing sequence. The 24-hour total is of course based on four 6-hour pooling cycles.

The analysis indicates the number of requests for processing and rapid response to IoT connected devices, over a 24-hour period, will exceed 1.8 Quintillion (1,800 Trillion, or 1,800,000 Billion) per day, based on the markets considered. The response commands need to be issued within seconds, not minutes, or hours.

The addition of 1.8 Quintillion daily processing requests, requires rapid responses, application control, and computer processing and intelligent analysis (AI or otherwise) of the resulting Big Data, cannot be supported with existing digital computing capabilities. New computing systems capable of greatly expanded processing speeds and capacity are clearly required.

Conceptually, the needed expansion in IoT Processing can potentially be addressed with advances in digital computer systems, most likely through innovations in simulated neural processing, machine learning (AI), and perhaps quantum computing. However, addressing 1.8 Quintillion daily processing requests, would require massive and unscalable server farms. To get to the point of successfully delivering a functional IoT system, we must move away from the silicon computing paradigm to Tissue Computing.

Tissue Computing offers a much simpler, lower cost, and faster route to achieving a fully functional and successfully operational global IoT system, using a mixture of digital and tissue computing capabilities. Integration of TOD™ into the IoT system, with Tissue Computing using billions of live neurons, will greatly reduce the need for physical space, energy, and staffing required in IoT server farms. It will also lower the daily operating costs and allow for rapid modular expansion of IoT services and applications – which will of course grow over time.

Furthermore, the inclusion of Tissue Computing within the IoT Processing segment will support continual expansion of data and system knowledge building, application learning, applied intelligence, deep data discovery, data mining, and related processing capabilities. Tissue computing, and specifically BCM’s family of Tissue Operating Devices (TOD™) real neural computers, integrated into the current Internet processing system, is the obvious answer to the huge processing requirements to enable the IoT system to rapidly progress from the initial concept state to a functioning and successful global reality.

For additional information on Tissue Computing technology, TOD™ design and architecture, and related subjects, please visit the BCM Industries website or contact BCM.

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