What is involved in Neuromorphic Hardware

Find out what the related areas are that Neuromorphic Hardware connects with, associates with, correlates with or affects, and which require thought, deliberation, analysis, review and discussion. This unique checklist stands out in a sense that it is not per-se designed to give answers, but to engage the reader and lay out a Neuromorphic Hardware thinking-frame.

How far is your company on its Neuromorphic Hardware journey?

Take this short survey to gauge your organization’s progress toward Neuromorphic Hardware leadership. Learn your strongest and weakest areas, and what you can do now to create a strategy that delivers results.

To address the criteria in this checklist for your organization, extensive selected resources are provided for sources of further research and information.

Start the Checklist

Below you will find a quick checklist designed to help you think about which Neuromorphic Hardware related domains to cover and 84 essential critical questions to check off in that domain.

The following domains are covered:

Neuromorphic Hardware, Neuromorphic engineering, Analog circuit, Artificial brain, California Institute of Technology, Carver Mead, Cerebral cortex, Communications of the ACM, Computation and Neural Systems, Computer science, Electronic engineering, European Commission, Face recognition, HP Labs, Human Brain Project, Machine vision, Motor control, Multisensory integration, Neural system, Object recognition, Optical flow sensor, Pattern recognition, Phase transition, Physical neural network, Speech recognition, Spin valve, Threshold switch, Turing machine, Very-large-scale integration, Vision chip, Vision processing unit, Volatile memory:

Neuromorphic Hardware Critical Criteria:

Study Neuromorphic Hardware projects and assess and formulate effective operational and Neuromorphic Hardware strategies.

– Which customers cant participate in our Neuromorphic Hardware domain because they lack skills, wealth, or convenient access to existing solutions?

– How do we go about Securing Neuromorphic Hardware?

– How can we improve Neuromorphic Hardware?

Neuromorphic engineering Critical Criteria:

Canvass Neuromorphic engineering decisions and describe the risks of Neuromorphic engineering sustainability.

– How do we measure improved Neuromorphic Hardware service perception, and satisfaction?

– Can Management personnel recognize the monetary benefit of Neuromorphic Hardware?

Analog circuit Critical Criteria:

Grasp Analog circuit risks and assess what counts with Analog circuit that we are not counting.

– How do we ensure that implementations of Neuromorphic Hardware products are done in a way that ensures safety?

– Is there a Neuromorphic Hardware Communication plan covering who needs to get what information when?

– What sources do you use to gather information for a Neuromorphic Hardware study?

Artificial brain Critical Criteria:

Give examples of Artificial brain strategies and pioneer acquisition of Artificial brain systems.

– What may be the consequences for the performance of an organization if all stakeholders are not consulted regarding Neuromorphic Hardware?

California Institute of Technology Critical Criteria:

Analyze California Institute of Technology visions and observe effective California Institute of Technology.

– Do the Neuromorphic Hardware decisions we make today help people and the planet tomorrow?

– Do Neuromorphic Hardware rules make a reasonable demand on a users capabilities?

– What are specific Neuromorphic Hardware Rules to follow?

Carver Mead Critical Criteria:

Incorporate Carver Mead adoptions and get going.

– Which individuals, teams or departments will be involved in Neuromorphic Hardware?

– How do we manage Neuromorphic Hardware Knowledge Management (KM)?

Cerebral cortex Critical Criteria:

Accumulate Cerebral cortex management and get the big picture.

– Think about the people you identified for your Neuromorphic Hardware project and the project responsibilities you would assign to them. what kind of training do you think they would need to perform these responsibilities effectively?

– What are our best practices for minimizing Neuromorphic Hardware project risk, while demonstrating incremental value and quick wins throughout the Neuromorphic Hardware project lifecycle?

– How important is Neuromorphic Hardware to the user organizations mission?

Communications of the ACM Critical Criteria:

Shape Communications of the ACM governance and define what our big hairy audacious Communications of the ACM goal is.

– How can you negotiate Neuromorphic Hardware successfully with a stubborn boss, an irate client, or a deceitful coworker?

– Are assumptions made in Neuromorphic Hardware stated explicitly?

– Does Neuromorphic Hardware appropriately measure and monitor risk?

Computation and Neural Systems Critical Criteria:

Think about Computation and Neural Systems leadership and improve Computation and Neural Systems service perception.

– At what point will vulnerability assessments be performed once Neuromorphic Hardware is put into production (e.g., ongoing Risk Management after implementation)?

– Does Neuromorphic Hardware create potential expectations in other areas that need to be recognized and considered?

– What are the Essentials of Internal Neuromorphic Hardware Management?

Computer science Critical Criteria:

Co-operate on Computer science adoptions and work towards be a leading Computer science expert.

– What potential environmental factors impact the Neuromorphic Hardware effort?

Electronic engineering Critical Criteria:

Facilitate Electronic engineering management and finalize specific methods for Electronic engineering acceptance.

– What are the Key enablers to make this Neuromorphic Hardware move?

European Commission Critical Criteria:

Value European Commission management and define what do we need to start doing with European Commission.

– What are your current levels and trends in key measures or indicators of Neuromorphic Hardware product and process performance that are important to and directly serve your customers? how do these results compare with the performance of your competitors and other organizations with similar offerings?

– How can we incorporate support to ensure safe and effective use of Neuromorphic Hardware into the services that we provide?

Face recognition Critical Criteria:

Systematize Face recognition visions and learn.

– What are your results for key measures or indicators of the accomplishment of your Neuromorphic Hardware strategy and action plans, including building and strengthening core competencies?

– What other organizational variables, such as reward systems or communication systems, affect the performance of this Neuromorphic Hardware process?

– Who will be responsible for documenting the Neuromorphic Hardware requirements in detail?

HP Labs Critical Criteria:

Have a session on HP Labs engagements and perfect HP Labs conflict management.

– Does the Neuromorphic Hardware task fit the clients priorities?

– What are the short and long-term Neuromorphic Hardware goals?

Human Brain Project Critical Criteria:

Incorporate Human Brain Project outcomes and spearhead techniques for implementing Human Brain Project.

– Is Neuromorphic Hardware dependent on the successful delivery of a current project?

– Have you identified your Neuromorphic Hardware key performance indicators?

– Are we Assessing Neuromorphic Hardware and Risk?

Machine vision Critical Criteria:

Adapt Machine vision projects and finalize the present value of growth of Machine vision.

– Record-keeping requirements flow from the records needed as inputs, outputs, controls and for transformation of a Neuromorphic Hardware process. ask yourself: are the records needed as inputs to the Neuromorphic Hardware process available?

– What tools do you use once you have decided on a Neuromorphic Hardware strategy and more importantly how do you choose?

– Who will be responsible for deciding whether Neuromorphic Hardware goes ahead or not after the initial investigations?

Motor control Critical Criteria:

Devise Motor control adoptions and look at it backwards.

– What are internal and external Neuromorphic Hardware relations?

– Do we all define Neuromorphic Hardware in the same way?

Multisensory integration Critical Criteria:

Analyze Multisensory integration tasks and finalize specific methods for Multisensory integration acceptance.

– Who are the people involved in developing and implementing Neuromorphic Hardware?

– Is there any existing Neuromorphic Hardware governance structure?

Neural system Critical Criteria:

Group Neural system leadership and check on ways to get started with Neural system.

– What are your most important goals for the strategic Neuromorphic Hardware objectives?

– How do we keep improving Neuromorphic Hardware?

Object recognition Critical Criteria:

Reconstruct Object recognition governance and stake your claim.

– What prevents me from making the changes I know will make me a more effective Neuromorphic Hardware leader?

– What are all of our Neuromorphic Hardware domains and what do they do?

Optical flow sensor Critical Criteria:

Be responsible for Optical flow sensor outcomes and budget the knowledge transfer for any interested in Optical flow sensor.

Pattern recognition Critical Criteria:

Consult on Pattern recognition quality and describe the risks of Pattern recognition sustainability.

– Will Neuromorphic Hardware have an impact on current business continuity, disaster recovery processes and/or infrastructure?

– Think about the functions involved in your Neuromorphic Hardware project. what processes flow from these functions?

– How do we know that any Neuromorphic Hardware analysis is complete and comprehensive?

Phase transition Critical Criteria:

Design Phase transition management and describe which business rules are needed as Phase transition interface.

– Why is it important to have senior management support for a Neuromorphic Hardware project?

– What are current Neuromorphic Hardware Paradigms?

Physical neural network Critical Criteria:

Inquire about Physical neural network planning and question.

Speech recognition Critical Criteria:

Map Speech recognition leadership and achieve a single Speech recognition view and bringing data together.

– Which Neuromorphic Hardware goals are the most important?

Spin valve Critical Criteria:

Add value to Spin valve results and get answers.

– Does our organization need more Neuromorphic Hardware education?

Threshold switch Critical Criteria:

Align Threshold switch goals and improve Threshold switch service perception.

– Can we add value to the current Neuromorphic Hardware decision-making process (largely qualitative) by incorporating uncertainty modeling (more quantitative)?

Turing machine Critical Criteria:

Boost Turing machine outcomes and explain and analyze the challenges of Turing machine.

Very-large-scale integration Critical Criteria:

Refer to Very-large-scale integration failures and document what potential Very-large-scale integration megatrends could make our business model obsolete.

– What will be the consequences to the business (financial, reputation etc) if Neuromorphic Hardware does not go ahead or fails to deliver the objectives?

– Will new equipment/products be required to facilitate Neuromorphic Hardware delivery for example is new software needed?

Vision chip Critical Criteria:

Trace Vision chip strategies and give examples utilizing a core of simple Vision chip skills.

– How does the organization define, manage, and improve its Neuromorphic Hardware processes?

Vision processing unit Critical Criteria:

Reason over Vision processing unit leadership and visualize why should people listen to you regarding Vision processing unit.

– How do we make it meaningful in connecting Neuromorphic Hardware with what users do day-to-day?

– Who sets the Neuromorphic Hardware standards?

Volatile memory Critical Criteria:

Systematize Volatile memory leadership and find the ideas you already have.

– Is Supporting Neuromorphic Hardware documentation required?


This quick readiness checklist is a selected resource to help you move forward. Learn more about how to achieve comprehensive insights with the Neuromorphic Hardware Self Assessment:


Author: Gerard Blokdijk

CEO at The Art of Service | theartofservice.com

[email protected]


Gerard is the CEO at The Art of Service. He has been providing information technology insights, talks, tools and products to organizations in a wide range of industries for over 25 years. Gerard is a widely recognized and respected information expert. Gerard founded The Art of Service consulting business in 2000. Gerard has authored numerous published books to date.

External links:

To address the criteria in this checklist, these selected resources are provided for sources of further research and information:

Neuromorphic engineering External links:

Neuromorphic Engineering – Google+

Analog circuit External links:

CMOS Analog Circuit Design | Udemy

AMU Course: ELEN306 – Analog Circuit Theory

Definition of Analog Circuits | Chegg.com

Artificial brain External links:

Artificial Brain – Home | Facebook

California Institute of Technology External links:

[PDF]California Institute of Technology


SCIT Southern California Institute of Technology | …

Carver Mead External links:

Carver Mead in Vida, OR – Bizapedia Profile

Carver Mead | Lemelson-MIT Program

Carver Mead – The Mathematics Genealogy Project

Cerebral cortex External links:

Cerebral Cortex Flashcards | Quizlet

The Cerebral Cortex Flashcards | Quizlet

Cerebral cortex | Define Cerebral cortex at Dictionary.com

Communications of the ACM External links:

[PDF]COMMUNICATIONS OF THE ACM – University of Arizona

Communications of the ACM – Home | Facebook

[PDF]Communications of the ACM March 1997 v40 n3 …

Computation and Neural Systems External links:

Computation and Neural Systems – Caltech Catalog

Computer science External links:

IMACS | Institute for Mathematics and Computer Science

Computer Science | School of Engineering

UIC Computer Science

Electronic engineering External links:

Electronic Engineering Motorola Two-Way Radio …

17-3023.00 – Electrical and Electronic Engineering Technicians

Electronic Engineering Technology : The University of Akron

European Commission External links:

European Commission Code of Conduct for Data Centre …

European Commission proposes more powers for EU’s …

The European Commission explained – Functioning and …

Face recognition External links:

Face Recognition Software: Best-in-Class Enterprise …

Computer Vision Lab – Face Recognition

Face Recognition (eVideo, 2013) [WorldCat.org]

HP Labs External links:

HP Labs (@hplabs) | Twitter

Research at HP Labs | HP® Official Site

Hp Labs 2858 Emerson St Palo Alto, CA Laboratories – …

Human Brain Project External links:

The Human Brain Project – Video Overview – YouTube

The Human Brain Project – Pace University ePortfolio

Human Brain Project – Home | Facebook

Machine vision External links:

industrial cameras | machine vision cameras,frame …

King Barcode | Barcode & Machine Vision Systems

CCTV Camera Lens, Machine Vision Lenses Manufacturer …

Motor control External links:

Washer Motor Control Board | Part Number …

Multisensory integration External links:

[PDF]Development of multisensory integration approach …

Multisensory integration, also known as multimodal integration, is the study of how information from the different sensory modalities, such as sight, sound, touch, smell, self-motion and taste, may be integrated by the nervous system.
Reference: en.wikipedia.org/wiki/Multisensory_Integration

Autism linked to multisensory integration — ScienceDaily

Neural system External links:

Neural System and Endocrine Flashcards | Quizlet

Neural System – Home | Facebook

Object recognition External links:

nyris – visual product search engine & object recognition …

Object Recognition Software

Visual object recognition (eBook, 2011) [WorldCat.org]

Optical flow sensor External links:

[PDF]Real-Time Optical Flow Sensor Design and its …

PMW3901 Optical Flow Sensor from onehorse on Tindie

Pattern recognition External links:

Pattern Recognition – Official Site

Title: Pattern Recognition – isfdb.org

Pattern recognition (Computer file, 2006) [WorldCat.org]

Phase transition External links:

Phase transition | Armstrong Economics

ERIC – Demonstration of Phase Transition and Properties …

Speech recognition External links:

Certified eSupport: Dictation & Speech Recognition …

SayIt from nVoq – Speech Recognition in the Cloud

Speech API – Speech Recognition | Google Cloud Platform

Spin valve External links:

Pseudo Spin Valve – How is Pseudo Spin Valve abbreviated?

Threshold switch External links:

MATLAB Central – Variable threshold switch simulink

Turing machine External links:

Game of Life – Universal Turing Machine – YouTube

turing machine simulator – Home

Online Turing Machine Simulator

Vision processing unit External links:

Introducing: The Myriad 2 Vision Processing Unit – YouTube

Vision Processing Unit | Machine Vision Technology | …

Movidius Vision Processing Unit Enters 2nd Generation | …

Volatile memory External links:

Memories – Serial EEPROM and Non-volatile Memory …

Non-Volatile Memory Express (NVMe) | Dell EMC Glossary

Database Systems Meet Non-Volatile Memory (NVRAM) …

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