Digital Manufacturing: At My Ventures

 

[Work in Progress …]

Youtube Playlist (Compiled By Me):

Digital Manufacturing: What happens when you employ Digital Technologies to Manufacturing? Discover for yourself! #AtMyVentures

 

#AtMyVentures

 

Manufacturing Cloud

Link: Physical Digital Integration: Manufacturing Cloud & Car 2.0  [TahsinVersion2.com]

Automation

Robotics

Additive Manufacturing & 3D Printing

Internet of Things (IoT)

Sensors & Big Data

Industrial Internet

Enterprise Physical Computing

Science & Engineering News: Google, Surgical Robots, Airports & More …

 

[04.01.15]

Google

 

Smart Home

 

Britain: Materials

 

Digital Car

“The Freightliner SuperTruck improves fuel economy by 115 percent and cools the cargo compartment with solar power”

 

Construction & Architecture: Airport

 

1986

“Connecting 29-year-old technology to the modern internet is a crazy, complicated labor of love!”

Mac1986

Engineering & Sciences: Biotech & More

 

Engineering & Sciences: Biotech & More

[03.24.15]

 

Biotech Ventures

“The wider change is that biology is getting cheaper and easier to do.”

Frontiers Of Engineering & Technology

Frontiers Of Engineering & Technology : Research & Engineering (R&E)

Energy & Power

Energy & Power: Materials for Solar

Energy & Power: Decentralized Power Grid

Energy & Power: Smart Solar, Smart Wind

Artificial Intelligence

Artificial Intelligence : Machine Learning

Robotics

Robotics: Augmented Robotics; Service Robotics 

Robotics: Drone / Unmanned Aerial Vehicle (UAV)

Robotics: Agile Robotics

Medicine & BioEngineering

Medicine & BioEngineering: Computational & Systems Biology

Medicine & BioEngineering: Genomics, Molecular Biology & Molecular Medicine

 

Computational Neuroscience & NeuroEngineering

Computational Neuroscience

America In Realization [02.25.15]

Business & Economics : The Economics of “Automation” 

#AmericaInRealization

“Experts rethink belief that tech always lifts employment as machines take on skills once thought uniquely human”

Latest From Science & Engineering, Medicine & Innovation [02.15.15]

Apple : Apple Car – “The iCar” ?  #21stCenturyRenaissance  #DigitalCar

“IPhone Maker Has 100s Working on Design of a Minivan Like Vehicle”

 

Apple : Apple Search Engine   #21stCenturyRenaissance

How to create “The Next Silicon Valley” [A vibrant Tech & Entrepreneurial Hub]  #21stCenturyRenaissance

Physical Digital Retail   #PhysicalDigitalRetail  #21stCenturyRenaissance

 

A brief overview of the nature of Physical Digital Retail  #21stCenturyRenaissance

Retail has become a blur – with Physical Stores and Online Retail (together with Mobile) – each approaching the other to create something new – Physical Digital Retail.

Target, Macy‘s and Walmart, the Physical Stores, are focusing on

  • Online Retail and
  • In-store Mobile Tracking & Commerce

while Amazon and Google, the online giants, are investing in

  • “Same-day delivery Services” (the “instant gratification” factor – that only Physical Stores could offer in the past).

 

“In-store” Intelligent interfaces that interact with customers are beginning to make their appearances in Physical Stores.

Big Data and Analytical Tools will get popular among Physical Retailers for tasks such as

  • Sales pattern investigation
  • Supply chain management (SCM)
  • Product placement in Stores (utilizing methods such as Market basket Analysis).

 

Physical Digital Retail” is big!

 

Youtube Playlist (Compiled By Me):

Physical Digital Retail : What does the future of Retail look like?

Notes On Research & Engineering (R&E) : Electrical, Mechanical, Chemical & Bio Engineering

 

Areas of Expertise:

#Electrical Engineering   #Mechanical Engineering

#Chemical Engineering  #BioEngineering

Academia To Industry – Technology & Innovation Transfer 

In Academia, lots of Science, Tools & Techniques are in incubation phase, not ready to be incorporated into industrial products.

I shall turn Science, Tools & Techniques into Engineering Innovations.

Engineering -> Product & Service Innovation At My Ventures

Electrical Engineering

Application Areas:

1. Physical Basis of Information

2. Power

  • EE : 1. Physical basis of Information

VLSI & Computer Systems

Manipulation of Information with Transistors, etc.

Communications Technology

Exchange of Information.

Entertainment Technology

[Example: Image -> Electronic Representation as Information).

Transducers and Sensors

Turning Physical Quantities into Electrically Represented Information

Signals & Systems

Signal is basically Information

Control Systems

Control with the use of Electrical / Electronic Signals

  • EE : 2. Power

Scientific Basis of Electrical Engineering:

  • Electricity. Magnetism. Electrical Circuit. Electromagnetism. Optics & Photonics. Solid State & Condensed Matter Physics.

Mechanical Engineering

Application Areas:

  • Mechanics & Machines

Scientific Basis of Mechanical Engineering:

  • Mechanics; Solid Mechanics; Fluid Mechanics; Thermodynamics; Electro-magnetic Induction.

Chemical Engineering

  • Phenomena that have “Chemical Basis”.

Examples:

Complex Fluids & Transport  <- Chemical Basis, Chemical Composition.

Food Processing.

Petrochemical Industry.

BioEngineering

  • Sensing Life

Imaging.

Signal Processing.

Genome Sequencing.

  • Modeling Life

Computational & Systems Biology. Bioinformatics.

  • Manipulating Life

Drug Design, Drug Delivery & Biomaterials.

Regenerative Medicine & Stem Cell Technology. Tissue Engineering.

Genetic Engineering. DNA Editing.

Laser.

Endoscopic Surgical Tools. Surgical Robots (Example: Da Vinci Robot).

Prosthetics. Artificial Retina.

Articles By Me:

AeroSpace Engineering -> Commercial Aircraft

AeroSpace Engineering -> Commercial Aircraft

Latest From Science & Engineering, Medicine & Innovation [01.19.15]

#PhysicalDigital

Internet of Things (IoT)

A Look at Internet of Things (IoT) Industry as it stands Today

Analysts predictions (Internet of Things Global Market): 1.9 trillion from Gartner IT 2.44% , 7.1 trillion from IDC, 19 trillion from Cisco CSCO 0.99% .

Smart home: Nest (bought by Google), SmartThings (bought by Samsung)

Wearables: Smartwatches, fitness trackers, and pet-tracking gadgets

Industrial Internet: GE  …. Companies (that GE sells Industrial Equipment to)  use … data from sensors, like improving fuel efficiency and making trains run faster.

Chipmakers: Intel, Qualcomm, ARM Holdings.

Wireless-device makers, Networking Equipment Makers: Sierra Wireless, Cisco, Aruba, Ruckus Wireless, Netgear.

Big Data: Splunk, Hortonworks.

Smart Cars:    #SmartCar

  • Electric / Hybrid / Fuel-cell Cars.
  • Autonomous / Semi-autonomous Cars.
  • Sensors – Data:
    • More Fuel Efficient.
    • Collision Detection.
    • Automation.
  • Connected (IoT).
  • New User Interface (UI) – Not Traditional “Steering wheels” and “Gears” and “Speed Readers”, rather New “Controls”.
  • Manufacturing: Digital Manufacturing; New Materials; 3D Printed (parts) and then assembled.

Artificial Intelligence: Platforms & Apps – At My Ventures

Youtube Playlist (Compiled by me): Artificial Intelligence “Platform”

Artificial Intelligence: “Platforms” & “Apps”  

#AtMyVentures

Artificial Intelligence & Robotics “Platform”  #AtMyVentures

3rd Party Applications, Services & Robots built on top of the Platform

The “Intelligence” behind Smart Connected Products – “Platform”

[Current Generation Instance: IBM Watson]

Knowledge Based Robotics, Expert Robotics 

[Articles By Me: No. 11]

Augmented Robotics 

[Articles By Me: No. 11]

Next Generation Web Search Engine  #AtMyVentures

A Search Engine based on Real World “Entity” Recognition in Webpages and Information Extraction (IE)

Rather than just Word indexing and Hyperlink Analysis (Current Generation Web Search Engine – introduced in 1998 by Sergey Brin and Larry Page through the Google Search Engine.)

We have had the same Search Engine technology for the past 17 years, with little incremental improvements.

Incremental Improvements included:

1. Refining Search Results based on User Clicks, etc (using Machine Learning Models. Changing “Parameter” values in Equations and testing to find out if users like the newer version more).

2. Parallel & Distributed Processing (to handle the ever increasing size of the Web and the number of Documents it contains)

3. Caching Search Results (for faster responses)

4. Adding “External” Semantic Data on the Search Result page, and in “Domain Specific” Search Engines (e.g., Books, Shopping, etc.).

Instances: Google bought Freebase and integrated the “Knowledge Graph”. Microsoft bought Powerset – the Wikipedia Search Engine.

Big Data 2.0 => New Kinds Of Sciences  #AtMyVentures

[Articles By Me: No. 3]

Link: “New Kinds of” Social Sciences  [TahsinVersion2.com]

Recommendation Systems

Provides Recommendations utilizing Models based on “New Kinds Of Sciences”

Service Agents  #ServiceAgent  #AtMyVentures 

Artificial Agents that can perform “Service” Industry Jobs

Example “Service Agents”:

“Airline Ticket Reservation Agent” that assists you in buying your Airline Tickets, taking all your personal requirements & constraints (budget constraints, time constraints, etc.) into consideration.

Agents that can replace “Call Center” Workers

Personal Agent  #AtMyVentures

That act as an “interface” to the World around you.

State of the Art “Personal Agent”:

Google Now

Microsoft Cortana

Apple Siri

Agents Across Different Verticals

Medical Diagnostic Agent

Personal Finance Management & Recommendation Agent

Articles By Me

  1. What is Machine Learning? [TahsinVersion2]
  2. Overview of (Artificially) Intelligent Agents
  3. Notes On Intelligence & Data Computing (1) [TahsinVersion2]
  4. Personal Notes On Distributed Data Computing [Unofficial]
  5. Subfields Of Sciences As Inspiration For Machine Learning Algorithms/Paradigms
  6. Personal Notes On Artificial Intelligence [Unofficial]
  7. Personal Notes On Intelligence & Data – 1 [Unofficial]
  8. Machine Learning Algorithms: Brief Introduction
  9. Application Of Data Analytics, Mining, Machine Learning & Network Science To Election Campaign Strategy
  10. Distributed Data Processing Frameworks
  11. Notes On Robotics [Knowledge Based Robotics; Augmented Robotics; Transportation & Vehicle Robotics] (TahsinVersion2)
  12. Short Review of “How to create a Mind” by Ray Kurzweil and “On Intelligence” by Jeff Hawkins [TahsinVersion2]
  13. Latest From Science, Technology, Medicine & Innovation [12.16.14] [TahsinVersion2]
  14. Latest From Science, Engineering, Medicine & Innovation [11.12.14]
  15. Quora Question: Which Subfields Of The Sciences Have Been Most Fruitful In Inspiring New Machine Learning Algorithms/Paradigms? [TahsinVersion2]
  16. Open Letter To Princess Shamita Tahsin – 10 [TahsinVersion2] (Artificial Intelligence … MetaCognition)

Innovation: Smart Home

 

Youtube Playlist (Compiled by me): Smart Home

[How does your future Home look like?]

#SmartHome

Food Management Automation

Smart Refrigerator

Smart Cooker (Able to Follow step by step instructions defined in a recipe)

State of the Art:

Coffee Brewers; Pressure Cookers; which are very specific in functionality. No general-purpose “Cooker” yet.

Coffee Brewer

Coffee Brewer

Home Cleaning Automation

Robot Mower

Cleaner Robots; Robot Vacuum Cleaners

State of the Art:

iRobot Roomba Vacuum Cleaning Robot

iRobot Roomba Vacuum Cleaning Robot

iRobot Roomba Vacuum Cleaning Robot

 

Home Entertainment System

Moving Computer for Home

State of the Art:

Jibo Robot (Humanistic User Interface – HUI)

Jibo, World's first family Robot

Jibo, World’s first family Robot

Smart UI

Smart Mirror [Smart Makeup-Mirror, etc.]

Smart Surface

Humanistic User Interfaces (HUI):

Speech;

Gesture;

Social / Emotional

Air & Temperature Control

Thermostat, Air-Conditioner, Heater, Cooler

Energy Efficiency

Furniture & Showpieces

Showpieces with:

“Complex Shapes” and

“Personalized Design”

3D Printing – Order & Delivery Service

Service Automation

Smart Babycare Sleeping Bed

Smart Home With Physical Digital Integration: What The Future Holds [TahsinVersion2]

Structure & Architecture

Customizable Modular Home

Robots that can customize a modular house (built of connectable bricks and rearrange-able) according to your design. In other words, you specify a design for your house on your Computer and Robots build / rearrange bricks to build the house (and 3D Print parts if necessary).

Inspiration for the Idea:

I was thinking of how my house is going to look like. And I thought, it would be cool if I could change the overall structure of my house every now and then (Living in the same house for years would be way too boring!) and my wife, who wants to be an Architect, should like it too (Changing the structure of the house to suit changing tastes).

Links To Articles By Me:

A Collection Of My Articles: Computer Science At Its Breadth

Computer Science : At Its Breadth
 

    • CS Area 1: Theory & Algorithms 
    •  Theoretical Computer Science
      • Language, Automata Theory, Computability 
      • Discrete Mathematics
        • Boolean Algebra
      • Computational Complexity Theory  
  • Algorithms [1] [2]
  • Data Structures
    • CS Area 2: Software Engineering
    • Programming Languages [1] [2]
    • Software Engineering 
    • Skills, tools and processes [3] [4] [5] [6] 
    • CS Area 3: Systems
      • Operating Systems
        • Systems Programming
      • Compilers
      • Computer Security
      • Database
        • RBBMS
        • NoSQLs
      • Cloud and Mobile Computing [1] [2]
      • Parallel, Multicore and Concurrent Computing [3]
      • Networked and Distributed Systems [4] [5] [6] [7]
      • Wireless Networks & Mobile Computing
    • CS Area 4: Intelligence & Data Computing
      • Artificial Intelligence [2]
      • Machine Learning [1]
      • Data Science & Analytics. Data Mining. Big Data [10] [17]
      • Statistical Language Processing. Natural Language Processing. Speech Understanding.
      • Computer Vision & Image Processing
      • Robotics
    • CS Area 5: Physical Digital Computing [1] [5]
      • Robotics & Manufacturing [2] [3] [4] [6]
      • Internet Of Things
      • Industrial Internet
      • Smart Home
      • Digital Sports
  • CS Area 6: BioComputing
    • Computational Biology & BioInformatics [2] [3] [4]
    • Systems Biology [1]
    • Healthcare Informatics
  • CS Area 7: Computational Science & Engineering
  • CS Area 8: Interactive Computing
    • Digital Education [1] [2] 
    • Wikinomics [3] [4]
    • Politics 2.0, Government 2.0 


 
References


Theory & Algorithms

  1. Organization Of The Study And Application Of Algorithms [TahsinVersion2]
  2. Solving Programming Problems [TahsinVersion2]
  3. Personal Notes On Hard CS Problems
  4. Basic Element Of Novel Computing Hardware
  5. Quora Question: How does one become good at solving algorithm/programming problems? [TahsinVersion2]

 
Software Engineering

  1. Programming Languages Of My Choice [TahsinVersion2]
  2. Programming Language Paradigms
  3. Java Development Skills
  4. Functional Programming: A Brief Introduction
  5. The Story of Object Oriented Programming
  6. Dependency Injection: Newbie’s Guide
  7. Lures Of Scala [TahsinVersion2]
  8. Personal Notes On Increasing Programmer Productivity 100 X, 1000 X
  9. “Real Object Programming”: A New Programming Paradigm
  10. Personal Notes On Wolfram Language
  11. Concurrent Programming Models

 

Systems

  1. Android Development Topics A Developer Needs To Master [TahsinVersion2]
  2. Android Application Architecture
  3. Concurrent Programming Models
  4. The Story Of Computer Networking: Progression From Internet To Web and Cloud
  5. Graphical Representation Of Django Web Framework Components
  6. How Web Search Engines Work
  7. Distributed Data Processing Frameworks

 

Intelligence & Data Computing

  1. What is Machine Learning? [TahsinVersion2]
  2. Overview of (Artificially) Intelligent Agents
  3. Personal Notes On Intelligence And Data Computing (1) (Big Data 2.0)
  4. Personal Notes On Distributed Data Computing [Unofficial]
  5. Subfields Of Sciences As Inspiration For Machine Learning Algorithms/Paradigms
  6. Personal Notes On Artificial Intelligence [Unofficial]
  7. Personal Notes On Intelligence & Data – 1 [Unofficial]
  8. Machine Learning Algorithms: Brief Introduction
  9. Application Of Data Analytics, Mining, Machine Learning & Network Science To Election Campaign Strategy
  10. Distributed Data Processing Frameworks
  11. Personal Notes On Robotics
  12. Short Review of “How to create a Mind” by Ray Kurzweil and “On Intelligence” by Jeff Hawkins [TahsinVersion2]
  13. Latest From Science, Technology, Medicine & Innovation [12.16.14] [TahsinVersion2]
  14. Latest From Science, Engineering, Medicine & Innovation [11.12.14]
  15. Quora Question: Which Subfields Of The Sciences Have Been Most Fruitful In Inspiring New Machine Learning Algorithms/Paradigms? [TahsinVersion2]
  16. Open Letter To Princess Shamita Tahsin – 10 [TahsinVersion2] (Artificial Intelligence … MetaCognition)  
  17. নাগরিক শক্তির Social Media & Big Data Strategy [TahsinVersion2.com]

 

 
Physical Digital Computing
  1. Emerging Area: Physical Digital Integration [TahsinVersion2]
  2. Physical Digital Integration: Cloud Manufacturing & Car 2.0
  3. Smart Home With Physical Digital Integration: What The Future Holds [TahsinVersion2]
  4. Could Manufacturing Be The Key To American Lead In Global Economy?
  5. The Science of Reading: Paper versus Screens
  6. On The Future Of Manufacturing: From Scientific American
  7. The Story Behind Physical Digital Computing
  8. Personal Notes On Book 2.0
  9. Personal Notes On Robotics
  10. Personal Notes On Manufacturing [Unofficial]
  11. Personal Notes On 3D Printing, Additive Manufacturing [Unofficial]
  12. Personal Notes On Digital Sports – 1 [Unofficial]
  13. Designing Information Interface For The Next 5 Billion
  14. “Things That Think” From Prof. Neil Gershenfeld
  15. Physical Digital Interaction / Experience / Product Designer
  16. Personal Notes On Exponential Technologies [Unofficial]
  17. Personal Notes On Physical Digital Computing – 1 [Unofficial]
  18. Smart Home: Product & Service Innovation At My Ventures [TahsinVersion2]

Compilation of My Articles on “Physical Digital Computing”:


 
BioComputing

  1. Studying Medicine [TahsinVersion2]
  2. Scientific Approach To Engineering [TahsinVersion2]
  3. Notes: BioInformatics & Economics [12.11.14] [TahsinVersion2]
  4. A Guideline For Research In Neuroscience [TahsinVersion2]

 

Computational Science & Engineering

  1. Computer Science As A Tool For Scientific Discovery [TahsinVersion2]

Interactive Computing

  1. Fundamental Shift In Education: A Requirement Of Our Time [TahsinVersion2]
  2. Vision Of “World Wide Education Platform” (WWEP!)
  3. Vision Of Collaborative Research Platform
  4. Wikinomics Platforms And Services
  5. Academic Institutions
    1. MIT Media Lab, Massachusetts Institute Of Technology
    2. School Of Interactive Computing, Georgia Institute Of Technology
    3. School of Computer Science, Carnegie Mellon University [Official Site]
    4. Human-Computer Interaction Institute, School of Computer Science, Carnegie Mellon University [Official Site]
    5. Department of Informatics, University of California, Irvine [Official SIte]
    6. Department of Informatics, School of Informatics & Computing, Indiana University Bloomington [Official Site] 
  6. Personal Notes On Politics (1) [Unofficial]  
  7. Personal Notes On Government 2.0 [Unofficial]  
  8. Application Of Data Analytics, Mining, Machine Learning & Network Science To Election Campaign Strategy
  9. Personal Notes On Education [Unofficial] 
  10. Personal Notes On Education & Platforms (3)

 
Basics

  1. প্রোগ্রামিং এ হাতেখড়ি [TahsinVersion2]

 

Other Articles

Current State Of Science & Technology In Iran

In general, the state of Science & Technology in Iran is Developed.

In fact, if one leaves out Israel, the state of Science & Technology in Iran is the most advanced in the Middle East, South Asia & South East Asia Region.

But research is mostly limited to the Public SectorUniversities & Government Facilities.

Apart from Medical Research – that can be easily translated into Medical or Surgical Practices – very little Research is translated to Private Sector (generating Economic benefits / Wealth).
Pharmaceutical / Biotechnology Industry is exemplary in Translational Research.

Biochemical Research, Nanotechnology Research, Medical Research, Nuclear Research (which must be limited to Nuclear Power Plants and not as another threat to the World), Aerospace Research, Robotics, Microprocessor Manufacturing, Super-Computers

– Iranians are doing advanced research, but only in the Public Sector.

What seem most promising –

  • Iranians are talented and
  • Research facilities seem to be in place.

To become an Economic Powerhouse, Iran needs High Technology Companies – which – its state of research indicates – it is capable of – although yet to materialize.

I am willing to provide guidance for:

Development of High Tech Industries in Iran.

If Iran is only the 9th country to put domestic-built Satellite into Orbit [Public Sector], why can’t an Iranian Firm build a Commercial Aircraft [Private Sector]?

Different body of Expertise (& Outlook), Institutional Structures & Policies are required for

Development of Research & Engineering Based High Tech Industries [Translational Research – turning research into Market Products] :

Expertise

  • e.g., Knowledge of International Market.

Outlook

  • Research is not just about publishing Papers and dreaming of the glory of winning Prizes & Awards! Translating Research into Industrial Products and making your country wealthier is equal in “glory”!
    • Required Outlook: How do I incorporate my research into an Industrial Product?

Institutional Structures

  • Venture Capital Firms and other Financial Institutions that are bold enough to invest in Companies that bring “research – generated products” to Markets.
    • In many Developing Nations, where there aren’t many High Technology Firms and not a lot of success stories, Investors struggle to believe in success of such Firms.

Policies

  • e.g., Policies that encourage Entrepreneurship

Note

Israel is a very good example of a country that has mastered the art of turning “Research” into “High Tech Industries”.

Iran can, and should learn from Israel.

Here is a nice book to start with:

Start-up Nation: The Story of Israel’s Economic Miracle by Dan Senor, Saul Singer

Note

Here are a few related Articles:

References

Prizes, Awards, Honors – Young Scientists, Engineers, Mathematicians & Economists Can Aim For

I am aiming for these Prizes, Awards and Honors. Perhaps you will too!
Mathematics
Physics

Life Sciences; Physiology & Medicine

Computer Science

  • Turing Award
    • An annual prize given by the Association for Computing Machinery to “an individual selected for contributions of a technical nature made to the computing community”
  • Computers and Thought Award
    • A biennial award presented at IJCAI conferences to outstanding young scientists (under the age 35) in artificial intelligence.
Engineering & Technology
Chemistry
Economics
Prizes for Successful Completion of a Breakthrough Challenge
  • XPrize Foundation
    • “An XPRIZE is a highly leveraged, incentivized prize competition that pushes the limits of what’s possible to change the world for the better” according to the Official Website.
  • Challenges hosted by DARPA:
Peace; Humanitarian
Literature
Honors

Scientific Approach To Engineering

Scientific Approach To Engineering
1.
I have never taken a single course in Aerospace Engineering.

 

But I am capable of single-handedly building a passenger Aircraft as big as Boeing and more advanced than anything the world has ever seen.

 

Moreover, building an Aircraft is simple for me.

 

How is it possible?

 

For me, building an Aircraft is utilizing “a few” basic laws of Physics and “a few” fundamental principles of Chemistry (Materials for Aircraft).

 

For Aerospace Engineers, building an Aircraft is complex and, surely out of reach for any single individual Engineer.

 

  • Because the Aerospace Engineer learns about “Jet Engines” and loses himself in details. (He doesn’t see that only a few basic Principles of Physics and Chemistry govern the design of a Jet Engine.)

 

  • The Aerospace Engineer learns to calculate the wind pressure required to keep the Aircraft flying – and loses himself in details – on the size and speed. (He doesn’t see that a few basic Laws of Physics and Chemistry is enough to calculate and design the wings of an Aircraft and the amount of pressure required to support the weight of the Aircraft.)

 

  • The modern control system (built out of complex Software) that a modern Pilot uses to guide himself while running a plane – is out of reach of any single Aerospace Engineer. For me – designing and building the Software is simple.

 

 

This is how “being the best Scientist makes me the best Engineer”.

 

In brief:  
Physics and Chemistry – simplifies the world with a few basic principles (these are the laws of nature, the ultimate possibilities). If you learn those principles – you can build anything you can think of – from Passenger Aircraft and Satellite to High Speed Rail and Electric Car.

 

 

 

Scientific Approach To Engineering
 

 

2.
Learning the ultimate possibilities through Science and building the ultimate Engineering Machines

 

I am more of a scientist – a Theory Builder. And that makes me the best Engineer.

Related Links

 

 

References

Physical Digital Computing


  1. Emerging Area: Physical Digital Integration
  2. Physical Digital Integration: Cloud Manufacturing & Car 2.0
  3. Smart Home With Physical Digital Integration: What The Future Holds
  4. Could Manufacturing Be The Key To American Lead In Global Economy?
  5. The Science of Reading: Paper versus Screens
  6. On The Future Of Manufacturing: From Scientific American
  7. The Story Behind Physical Digital Computing
  8. Personal Notes On Book 2.0
  9. Personal Notes On Robotics
  10. Personal Notes On Manufacturing [Unofficial]
  11. Personal Notes On 3D Printing, Additive Manufacturing [Unofficial]
  12. Personal Notes On Digital Sports – 1 [Unofficial]
  13. Designing Information Interface For The Next 5 Billion
  14. “Things That Think” From Prof. Neil Gershenfeld
  15. Physical Digital Interaction / Experience / Product Designer
  16. Personal Notes On Exponential Technologies [Unofficial]
  17. Personal Notes On Physical Digital Computing – 1 [Unofficial]

Manhattan Scale project on BioSciences, Translational Medicine and BioEngineering

 

 

I’ll start a Manhattan Scale project on BioSciences, Translational Medicine and BioEngineering – that will define the frontiers of Healthcare and related fields – like Environment, Energy (Fuel; Photosynthesis inspired Solar Cells?) & Sustainability, Agriculture.

 

  • Cancer, Ebola, Parkinson’s, AIDS, Alzheimer’s,
  • Disabilities and losses (Eyesight loss; Limb Amputee, etc. <- Stem Cell & Regenerative Medicine. We can replace with Mechanical / Physical parts as long as we our Stem Cell / Regenerative Medicine Tech is not advanced enough – but remember – Biology – is the ultimate technology.

 

My Guiding Principle would be – Restore the Normal (as opposed to the artificial – Mechanical devices or Pills or Drugs) – possibly through
  • Stem Cell / Regenerative Medicine or
  • Gene Therapy.

 

As long as we can’t make headway in Stem Cell / Gene Therapy – we can do away with Drugs and Devices – but the ultimate future is Biology.
My Plan is to build
  • Medical / Scientific / Engineering Equipments (that would be required in my own research) and
  • Sell and use the profit to fund my research / further work.

 

So only limited funding would be required in the first phase – and from that point on self – funding / reinvesting.
Equipments would require continuous innovations and improvements. For example,
  • Gene Sequencers (Bringing down the cost of Gene sequencing of a single Genome to several hundred dollars or maybe $100.)
  • Robots that automate much of Experimental work. [Consider: Combinatorial Chemistry – parallel reactions]

 

Another line of products (lots of innovations)
  • Medical / Surgical Equipments (from smaller Ultra-Sounds to “Da Vinci”-like Surgical Robots)
  • Healthcare IT Infrastructure and Services (to Hospitals, Clinics) – Examples:
    • Sensors that measure Body parameters and store data in Database / Cloud <- Big Data 2.0 on Data;
    • Watson-like AI on Medical Literature (e.g., Pubmed) to augment Medical Researchers and Physicians

 

Hiring
 

 

A few

BioEngineering / BioMedical Engineering / Molecular Biology / Cell Biology / BioChemistry / BioPhysics / BioInformatics / Computational Biology PhDs

– each concentrating on a particular part – under my supervision:

  • One researcher concentrating on Transport system of Cells – 2013 Nobel Physiology or Medicine Prize Work (Collaborating with other researchers focused on other Cellular organelles or Extra-cellular Matrix)

 

  • Another researcher concentrating on Spatial Representations and Motor Planning in the Brain – 2014 Nobel Physiology or Medicine Prize Work
  • Couple working on how to repair / replace Damaged Organs with Tissue / Organs grown from Stem Cells – carrying on the 2012 Nobel Physiology or Medicine Prize Work
Policy Reform:
I will review and modernize the FDA (Drug, Medical Device) appoval process.
Going through a process that takes 10 years and costs Billion Dollars – after inventing a drug [and device] – to bring it to market – kills off many promising drugs.
Other “Manhattan Scale” Projects / Innovations:
 
Education Platform
  • Huge! Reinvention of Education. Changes the way Education is delivered, the way how people learn in each and every country of the World. [Microsoft?]
  • E-Book 2.0 / E-Magazine 2.0 / E-Newspaper 2.0 & Digital Publishing

Artificial Intelligence Platform

  • Watson-like Natural Language Understanding + A Lot More
  • Less computational resource requirement; Highly developed Knowledge Processing / Reasoning
  • Apps and Services on Top of the Platform

Cloud Manufacturing Platform + Physical Digital Computing Division

  • This is where the Medical / Surgical / Scientific Equipments would be manufactured.
  • + Manufacturing Equipments and Services for Companies
  • Materials / Nano / Applied Physics / Engineering Research

Knowledge Based Robotics

  • Imagine: Robot Engineers repairing your Car.
  • Robots in Industry. Home. Healthcare. Service Robots.

Computer Reimagined [Computer Architecture; Processor; Hardware; Novel Material, UI]

References

 

 

Notes On Research & Engineering (R&E) [11.06.14]

Research & Engineering (R&E)
I am more of a scientist – a Theory / Model Builder. And that makes me the best Engineer.
 
Physics
  • Applied Physics; Electrical Engineering; Mechanical & Aerospace Engineering
 

Chemistry

  • Chemical Engineering; Materials Science & Engineeing; NanoEngineering
 
BioSciences
  • BioEngineering & Translational Medicine; Computational & Systems Biology
 
Earth & Environmental Sciences & Engineering; GeoEngineering; Climate Science
 
Computer Science & Engineering
 
Mathematics
  • Applied Mathematics; Computational Sciences and Engineering
 
Brain Sciences
  • Neuroscience; Psychology; NeuroEngineering
 
Economics; Social & Political Sciences; Complex Systems; Management Science & Engineering; Industrial & Systems Engineering; Operations Research; Government Services;
 
Engineering & Applied Sciences



Scientific Approach To Engineering

 
I am more of a scientist – a Theory / Model Builder. And that makes me the best Engineer.
Whenever I try to learn something, I learn everything that can be learned about the subject (of course by thinking, because everything that can ever be learned about a subject” is not yet documented anywhere in an organized way)– even knowledge that is yet to be discovered.
So, when I am learning Robotics, I organize – everything that can ever be learned about Robotics – from the perspective of Physics and Computer Science (by thinking).
Physics defines the rules that the world follows – you can’t go beyond those rules. So to understand the ultimate Physical possibilities of Robotics – you have to think from the perspective of Physics.
I build the ultimate “Model”s of the world.
 
Researchers work on building better“Model”s of parts of the world, try to “improve upon”current devices. So a researcher working on – say, Optogenetics, asks specific and limited questions –what other protein respond to light? What other wavelength of light can we use to control neurons?
While, I ask general questions (the ultimate possibilities)– what are the ways we can “control” neurons? Shining light from outside and building sensors (out of protein) that respond on neurons is one way. How far can we go with Optogenetics? Creating a Magnetic Field is another way to control parts of the brain.
This is my approach – I try to learn everything that can ever be learned – because Science sets the ultimate possibilities. That’s how being the Best Scientist makes me the Best Engineer.




Related Links



References

Physical Digital Computing


  1. Emerging Area: Physical Digital Integration
  2. Physical Digital Integration: Cloud Manufacturing & Car 2.0
  3. Smart Home With Physical Digital Integration: What The Future Holds
  4. Could Manufacturing Be The Key To American Lead In Global Economy?
  5. The Science of Reading: Paper versus Screens
  6. On The Future Of Manufacturing: From Scientific American
  7. The Story Behind Physical Digital Computing 
  8. Personal Notes On Book 2.0  
  9. Personal Notes On Robotics
  10. Personal Notes On Manufacturing [Unofficial] 
  11. Personal Notes On 3D Printing, Additive Manufacturing [Unofficial] 
  12. Personal Notes On Digital Sports – 1 [Unofficial] 
  13. Designing Information Interface For The Next 5 Billion 
  14. “Things That Think” From Prof. Neil Gershenfeld
  15. Physical Digital Interaction / Experience / Product Designer
  16. Personal Notes On Exponential Technologies [Unofficial]
  17. Personal Notes On Physical Digital Computing – 1 [Unofficial]   

Manhattan Scaleproject on BioSciences, Translational Medicine and BioEngineering

 
I’ll soon start (as soon as I move to Califormia and get funding) a Manhattan Scale project on BioSciences, Translational Medicine and BioEngineering – that will define the frontiers of Healthcare and relatedfields – like Environment, Energy (Fuel; Photosynthesis inspired Solar Cells?) & Sustainability, Agriculture.

 

  • Cancer, Ebola, Perkinson’s, AIDS, Alzheimer’s,
  • Disabilities and losses (Eyesight loss; Limb Amputee, etc. <- Stem Cell & Regenerative Medicine. We can replace with Mechanical / Physical parts as long as we our Stem Cell / Regenerative Medicine Tech is not advanced enough – but remember – Biology – is the ultimate technology.
My Guiding Principle would beRestore the Normal (as opposed to the artificial – Mechanical devices or Pills or Drugs) – possibly through
  • Stem Cell / Regenerative Medicine or
  • Gene Therapy.
As long as we can’t make headway in Stem Cell / Gene Therapy – we can do away with Drugs and Devices – but the ultimate future is Biology.
 
My Plan is to build
  • Medical / Scientific / Engineering Equipments (that would be required in my own research) and
  • Sell and use the profit to fund my research / further work.
So only limited funding would be required in the first phase – and from that point on self – funding / reinvesting.
 
Equipments would require continuous innovations and improvements. For example,
  • Gene Sequencers (Bringing down the cost of Gene sequencing of a single Genome to several hundred dollars or maybe $100.)
  • Robots that automate much of Experimental work. [Consider: Combinatorial Chemistry – parallel reactions]
 
Another line of products (lots of innovations)
  • Medical / Surgical Equipments (from smaller Ultra-Sounds to “Da Vinci”-like Surgical Robots)
  • Healthcare IT Infrastructure and Services (to Hospitals, Clinics) – [Examples:
  • Sensors that measure Body parameters and store data in Database / Cloud <- Big Data 2.0 on Data;
  • Watson-like AI on Medical Literature (e.g., Pubmed) to augment Medical Researchers and Physicians]
 


Hiring
 

A few BioEngineering / BioMedical Engineering / Molecular Biology / Cell Biology / BioChemistry / BioPhysics / BioInformatics / Computational Biology PhDs – each concentrating on a particular part – under my supervision. For example:

  • One researcher concentrating on Transport system of Cells – 2013 Nobel Physiology or Medicine Prize Work (Collaborating with other researchers focused on other Cellular organelles or Extra-cellular Matrix)
  • Another researcher concentrating on Spatial Representations and Motor Planning in the Brain – 2014 Nobel Physiology or Medicine Prize Work
  • Couple working on how to repair / replace Damaged Organs with Tissue / Organs grown from Stem Cells – carrying on the 2012 Nobel Physiology or Medicine Prize Work
– I’ll teach and help them grow.
 
 
Another Plan:
I will review and modernizethe FDA (Drug, Medical Device) appoval process.
Going through a process that takes 10 years and costs Billion Dollars – after inventing a drug [and device] – to bring it to market – kills off many promising drugs.
[This is how having access to everything – will enable me to bring about Revolutionary Changes. No company could think of modernizing FDA approval process – however bad they wanted it.]
 
[That is why I say, I am the person who will know everything there is to be known – the ultimare limits of human knowledge.]
 
Other “Manhattan Scale” Projects / Innovations:
 
Education Platform
  • Huge! Reinvention of Education. Changes the way Education is delivered, the way how people learn in each and every country of the World. [Microsoft?]

Artificial Intelligence Platform

    • Watson-like Natural Language Understanding + A Lot More 

 

  • Less computational resource requirement; Highly developed Knowledge Processing / Reasoning 

 

 

  • Apps and Services on Top of the Platform

 

Cloud Manufacturing Platform + Physical Digital Computing Division

    • This is where the Medical / Surgical / Scientific Equipments would be manufactured. 

 

  • + Manufacturing Equipments and Services for Companies 

 

 

  • Materials / Nano / Applied Physics / Engineering Research

 

 

Knowledge Based Robotics

    • Imagine: Robot Engineers repairing your Car.

 

  • Robots in Industry. Home. Healthcare. Service Robots.

Computer Architecture; Processor; Hardware; Novel Material



 
Other Revolutionary Products / Set of Products:
  • E-Book 2.0 / E-Magazine 2.0 / E-Newspaper 2.0 & Digital Publishing
 

Notes On Microsoft & Tech Community
 
I have become an inspiration for America’s top Software Companies, Executives and Engineers.
 
I have introduced – Lots of fresh ideas, new outlooks, new perspectives from which to look at.
 
When you get used to believing that, you are the best in the world – you stop pushing yourself.Companies that once thought – they were the best in the world and hence no need for innovations – were challenged after my arrival.

[No where is this trend more evident than Google.To get a feeling – glimpse at acquisitions made by Google since last November (2013) (Companies that focus on Physical Digital Computing products)] (including 8 Robotics companies and Nest and Skybox Imaging)


Links
 

Microsoft, Facebook, Amazon, HP, Intel and SAP (simplify complexity) – are 5 other companies – where I am hoping – “being challenged” to be followed by innovations.
 



Executives and Engineers at top companies – who believed that, they were the best in the world – were challenged.

 
Both – Companies and People – are inspired to do better work.
It would be fantastic – if this realization translates into lots of new innovations.
 

Microsoft
In the past few years Microsoft has lost the “Brand Appeal” it once enjoyed.
When people use Google (products and services), they feel proud (geeky, Trendy – whatever you say) of it.
When people use iPhone or iPad, they feel they are being smart by using Apple products. (“Apple products are amazing – beautiful and intuitive!”)
 
Brand appeal depends more on “word of mouth” than on the products themselves.
 
One of the areas I can work on is to bring back that “Brand Appeal” to Microsoft products (that Microsoft once enjoyed).
“Microsoft is cool!” or maybe “Microsoft is back!”
“Surface is just awesome!”
 
Links:
 
Satya Nadella, being young (and upto date) – is focused on bringing ideas that are currently appreciated and successful in the Industry (even if the ideas are not as widespread and strictly followed at Microsoft):
  • Cloud first, Mobile first 
  • Competing by quickly bringing products to Market and following up with quick iterations. 

Comment : Following up with quick updates gets more significant in a Mobile first, Cloud first world – where you can push updates whenever you want.

  • Data-driven Marketing and Data-driven Software Engineering process improvement 
  • Focused on Platforms and Services

 

 
[When I first read about Satya, (it was when he became the CEO) …. I read …. Neuroscience … Books … loves learning new things .. utilizing brain to get smarter .. Cricket … family … married the woman he met in high school … I was like, Wow! this guy shares similarities with me!]
 
 
Steve Ballmer
Hanged onto – Windows and Office (even by sacrificing some of the areas where Microsoft could have dominated – Smartphone, Touchscreens)
Started and established:
  • Business Division; Cloud; Skype; Server; SQL Server; 
  • X-Box  and Gaming
  • .NET & Visual Studio
 
 

Article: What The Next CTO of United States Could Focus On
 

Education

  • Work with State Gov, Local Gov 

Redesigning the Healthcare System 

Business and Industry 

  • Small Business : Hassle free environment (Regulatory Info -> Web) 
  • Tax Reform

Policy Advising 

    • Domains where Science,Technology and Public Policy Intersect and we need Policies tailored to 21st Century. 
    • Examples: 
      • Security & Privacy 
      • Drones 
      • FDA Drug Approval Process ($1 Billion & 10 years for each drug)

 

Work with Regulatory Agencies, e.g., FAA, FCC, FDA.
 

Related Links

  1. Influence in United States 
  2. International Relations: Bilateral Relations (I Have Contributed / Will Contribute To) 
  3. Personal Notes On Politics (1) 
  4. Personal Notes On US Policy Reform / Formulation 
  5. Reflections On America [7.31.14] 
  6. America: The Leading Nation In The World  

“Americawas, America is and Americawill continue to be leading the nation in the world.”

Government Services etc. as Platforms and Private Sector developing Services on top of Gov. Services


Open Government

  • Transparency; 
  • Citizen participation through Web & Communication Tech. etc.


  • Taking Successful ideas from Information & Communication Technology Industry and applying them to Government. Examples: 
  • Open Innovation: Prizes




Washington Tech Community, Industry, Scientists, Economists, Academia, Ideas



The next CTO of United States could also act as a bridge between the President and the Congress.
 

Government Sectors that work with Science, Technology, Medical Innovation:

 
Funding Projects, Research Grants;
Determination of Focus, Agendas, Initiatives (e.g., Obama Brain Initiative, National Nanotechnology Initiative – NNI);
Challenges (e.g., DARPA Grand Challenge) etc. :
  • NASA, 
  • NSF, 
  • NIH, 
  • NAE, 
  • CDC, 
  • DoD, DARPA, NSA,
 
Article : Smart Government / Government 2.0
 
 

 
  • Cloud Manufacturing; Digital Manufacturing 
  • Artificial Intelligence & Robotics 
  • Computer : Architecture, Materials 
  • Car 
  • Data Sciences & Big Data 2.0
  • Materials Science; Chemistry; Chemical Engineering 
  • Physical Digital Products



 
Management Science & Engineeing
Services on top of
  • Microsoft Enterprise & Microsoft Cloud 
  • [Tahsin] Venture’s 
    • Enterprise Physical Digital Products 
    • Cloud Manufacturing; Digital Manufacturing
 

 

Cloud Manufacturing. Digital Manufacturing. Materials. 

Artificial Intelligence & Robotics.

 
Car
  • Hybrid.  Extremely Fuel Efficient.
  • Semi-Autonomous. 
  • “Connected” 
  • 3D Printed – Personalization.
 
Computer
  • New Material. 
  • New Architecture. Parallel Architecture. 
  • Faster Storage Access.  New Material. 
  • Energy Efficient.

ORGs

Smart Home With Physical Digital Integration: What The Future Holds

So, how does your “Sweet Home” gonna look like in a few years?

I tell you what, lots and lots of Automation!


Imagine

  • Your Automated Cook downloads a recipe from Web
  • Searches for the lowest price of ingredients deliverable on time and orders ingredients on a shopping site.
  • The shopping site delivers your product via a drone (Saw the Amazon Prime Air?) and transmits a message to your Home Robot.
  • Your Home Robot picks up the delivery and passes it to your Automated Cook.
  • Automated Cook cooks food according to the recipe.


Imagine

  • A Baby Care-taker Sleeping Bed
  • Responds to baby’s screams (detection by using sensors) with movements of the bed, music etc. (to soothe the baby)
  • Automatically feeds the baby (at pre-defined time).
  • Automatically cleanses your baby (detection by using sensors; delicate actuators). (Obviously, your Baby can’t go to toilet by itself, can it?)
  • Integrated Web-cam for parents. Watch your baby on your Smartphone, swipe on your touchscreen and the Baby care-taker sleeping bed responds to the instruction.
  • Customizable Sleeping Bed with off-the-shelf “Components”. Your baby likes toys? Buy the toy “Component”!

Sounds futuristic?

Not at all!

These are some of the Products and Services you shall see in your coming Smart Home!

Meet this home Robot from iRobot.


Still not impressed? 


How about this!

 

Just as people today have pets, Baxter makes me feel that people will soon consider Home Robots as their pets.

Companies Working In Smart Home Space

Meet the Nest Learning Thermostat!