Tuesday, August 30, 2016

15th Annual Bluegrass & Honky Tonk Music Festival in Santee, S.C.

Mark your calendars! Swing by the 15th Annual Bluegrass & Honky Tonk Free Music Festival at Lone Star BBQ in SC, September 2-4, 2016. For more details, go to  
Some of the many other annual Festivals or Outdoor Events that take place in Summerton and the surrounding Santee Cooper Lake Country (i.e. Lake Marion & Lake Moultrie) include:

Other Selected Information Sources


For more information about the area, make sure you visit the Summerton SC: Nature & Outdoor Recreation web site.

Morning Dove 2016-2017 Hunting Season in South Carolina

Morning Dove Season starts September 3, 2016, in South Carolina. For more details, see   

Hunting is the practice of pursuing, trapping, killing, or 'harvesting' animals and/or other wildlife  for food, recreation, or trade. The species that are hunted are referred to as game and are usually either mammals or birds. 

Hunting is primarily regulated by state law, though additional federal regulations may be imposed especially in the case of migratory birds and endangered species. Laws and regulations governing the areas, time periods, techniques and methods by which specific game animals may be hunted vary widely from state to state. 

If you are a hunter, Summerton, Lake Marion and the surrounding area are the place to be. Deer, racoon, feral hogs, coyote, opossum, squirrel, turkey, dove, and waterfowl are just some of the game available for hunting.

Selected Information Sources

 * Find out more about Duck Hunting Guides & Services near Summerton, S.C.

Saturday, August 27, 2016

Local Clarendon County HS Football Team Scores and Schedules - August 26, 2016

The following are the latest scores for all the local Clarendon County high school football team games that were played on Friday, August 26, 2016:

  • Manning HS Monarchs beat Summerton's Scotts Branch Eagles 28-0.
  • Clarendon Hall Saints football team beat Beaufort Academy 38-36. 
  • Laurence Manning Academy (LMA) Swampcats beat Florence Christian 54-0.
  • East Clarendon HS Wolverines lost to Timmonsville 14-6.

The following are links to the 2016 Football schedule, roster, and detailed stats for local high schools in Summerton and across Clarendon County, SC:

* Check out MAXPREPS, a CBSSports.com web site for football team standings, other sports teams at your school, and more detailed statistics.

Wednesday, August 17, 2016

Global Artificial Intelligence Health Network

Building a Global Healthcare Platform for 2040”

Introduction to Artificial Intelligence (AI)

Futurist Ray Kurzweil has predicted that computers will be as smart as humans by 2030. By 2045, he claims 'artificial intelligence' systems may be a billion times more powerful than our unaided 'human intelligence'. Are you prepared for what this means?

In computer science, an ideal Artificial intelligence (AI) system is designed to mimic cognitive functions that humans associate with other human minds, such as “analyzing”, "learning" and "problem solving". Cognitive computers are self-learning artificial intelligence (AI) systems that can find patterns in massive collections of unstructured data and turn it into a presentable form for many others to use. For more detail, see Wikipedia.

The promise of Artificial Intelligence (AI) has always been just beyond the horizon, not quite realistic yet still visible to our imagination through movies and literature. At its inception, AI was initially deployed for highly selective defense or space exploration applications. However, over time it has steadily advanced and has begun to be utilized in many other industries, such as healthcare and manufacturing.

Artificial Intelligence (AI) and Data-Driven Medicine

Artificial Intelligence (AI) and data-driven medicine are the next frontier in the healthcare revolution. Electronic Health Record (EHR) systems have been widely adopted by all major healthcare institutions across the US over the past decade. Now state and local Health Information Exchanges (HIE) networks are being deployed to allow access to data in the EHR systems by healthcare providers whenever or wherever it's needed.

In the meantime, consumers have been gradually starting to use Personal Health Record (PHR) systems that contain their patient data from the various EHR systems of healthcare institutions where they have been treated. Now we are seeing the growing use of other healthcare technologies that are also gathering and generating even more personal health data, e.g. wearable and implantable devices, genomic information systems and biorepositories, clinical imaging systems, and more.

It turns out that Medical data is the essential part of today's comprehensive healthcare systems. However, processing and analyzing the massive quantity of data now being generated by the wide range of converging health information technologies is almost too much to handle. It is an area the healthcare industry is struggling to come to grips with as it turns more and more to use of Artificial Intelligence (AI) as the means to gain control of the growing mountain of health related data.

Roughly every three years, the amount of medical data on the planet doubles in size. By 2020, it is expected to double every 73 days.

It is time to begin focusing more proactively on the design and development of a 'global healthcare platform for 2040' built on artificial intelligence (AI) technologies.

Artificial Intelligence (AI) in Healthcare

Analysts predict a tenfold growth of the use of artificial intelligence in healthcare in the next five years, for everything from cancer diagnosis to diet tips. According to Frost and Sullivan, healthcare providers will spend $6 billion per year on artificial intelligence tools by 2021. Google, IBM and Microsoft are all investing heavily in healthcare and analysts predict 30 percent of providers will run cognitive analytics on patient data by 2018. See Artificial Intelligence: There's Still Hope for the Human Race

Early types of these type of cognitive systems built on artificial intelligence (AI) technologies have already started entering the market. These include 'smart' triage systems that check patients’ symptoms against massive health data warehouses, then advise patients and providers what they should do next. Artificial Intelligence (AI) systems are also being used to help consumers when buying health insurance, to monitor biometric data from personal fitness trackers, analyzing genomic data to predict and potential life-threatening diseases, and much more.

Artificial Intelligence (AI) is advancing rapidly and is in the process of transforming the face of healthcare. Just a few of the many areas in which AI is being used to affect practice management and healthcare services include Diagnosis and Treatment, Disease Management, Personal Health & Wellness, Utilization Management & Reimbursement. Read 5 Ways AI is Changing Healthcare.

Other areas where AI technology and data-driven systems can be designed, developed, and used to improve healthcare include:

  • Examining and analyzing genomic data on hundreds of millions of patients.
  • Building systems that gradually teach themselves to become more accurate in its diagnosis.
  • Improving the speed and accuracy of diagnosis for genetic diseases.
  • Unlocking the possibility of personalized preventive and medical treatment plans.
  • Regularly monitor patients’ biometric data to see they are complying with their treatment plans.
  • Helping healthcare providers deliver better low-cost, evidence-driven care to consumers.
  • Helping consumers to avoid costly visits to doctor offices and hospitals.
  • Giving everyone in the world the equivalent of a doctor in their pocket – or smartphone.

Future Scenario: By 2040, a space-based global artificial intelligence (AI) network of satellites will be in place that will monitor and help provide healthcare to people on Earth and in colonies across our solar system on the Moon, Mars, and other locations. The system will be linked to massive global health data warehouses storing data from a wide range of health IT systems, e.g. Electronic Health Record (EHR) systems, Personal Health Records (PHR), Health Information Exchange (HIE) networks, wearable fitness trackers, implantable medical devices, clinical imaging systems, genomic databases and biorepositories, surgical robots, health research knowledgebases and more.

The space-based global AI system will monitor and analyze the health data gathered on all humans in real-time, detecting potential individual and public health issues. The global AI system will detect problems, diagnose them, send alerts to patients and their healthcare providers, diagnose the problems and recommend treatment plans to resolve the healthcare issue. The system will also be interfaced to pharmacies, laboratories, health insurers, public health agencies, and other institutions as needed. The system will also be able to monitor a patient's progress, as well as adherence to recommended treatment plans. It will also seek to anticipate potential healthcare issues and provide preventive health and predictive health information tailored to each human.

Current News & Activities

The following are a few selected articles you might want to read to get a better handle on the latest news about current activities related to Artificial Intelligence (AI) in healthcare:

Selected Issues

The following are some of the key issues that need to be addressed as we continue moving forward with the design, development, and use of AI technologies and data-drive healthcare information systems:

  • Privacy & SecurityThis is always a key issue. When AI systems are turned loose to monitor all health information systems gathering data on all facets of your personal health, concerns about who has access to the data and who it is being shared with are just a few of the issues that must be adequately addressed upfront.
  • Jobs - The Bank of England has predicted that intelligent machines might take over 80 million American and 15 million British jobs, respectively over the next 10 to 20 years. The healthcare industry will not be immune to this change.
  • Legal Issues - One of the most important points of interest that needs to be hammered out first is the legality of these machines. When a doctor's gross negligence leads to a misdiagnoses and patient harm, the fault is placed squarely on the shoulders of the offending physician. But what happens when a similar situation befalls an AI system? If such a program were to misdiagnose a patient, who's to blame?
  • Open Source - Many new 'open source' tools are arriving that can now run on affordable hardware and allow individuals and small organizations to perform prodigious data crunching and predictive tasks. Read about H2O, OpenAI, and other machine learning and AI tools being used in healthcare at Open Health News. Also, check out the growing List of AI Projects on Wikipedia.

Regenstrief Institute and Indiana University School of Informatics & Computing, recently examined open source algorithms and machine learning tools in public health reporting: The tools bested human reviewers in detecting cancer using pathology reports and did so faster than people. Indeed, more and more healthcare systems on the cutting edge are looking at ways to harness the power of AI, cognitive computing and machine learning. See Artificial intelligence and cognitive computing - Healthcare IT News

Recommended Next Steps

Artificial Intelligence (AI) systems today can learn in ways society once thought impossible, which has major implications for multiple industries – especially the healthcare industry. It is now time to begin focusing more proactively on a public-private sector collaboration to design and develop a 'global healthcare platform for 2040' built on artificial intelligence (AI) technologies. It's time to begin designing Health 4.0

Many countries are beginning to support the idea of having a global healthcare network of data centers coupled with a state-of-the-art AI technology platform that will allow sort through all the data, standardize it, and put it into a form that is useful and easily understood by patients, healthcare providers, healthcare insurers, researchers, and other individuals and organizations.

Any such global effort should keep in mind the key management strategies for success in the 21st century – Collaboration, Open Solutions, and continuous Innovation (COSI). Building such a global solution will require a massive global public-private sector partnership. Think of all the components that will need to converge to compose such a global solution – e.g. healthcare technologies, research, knowledge, organizations, and more.

One final note, advances in AI and technology are helping create a futuristic human-to-machine and machine-to-human interaction that can best be described as an 'Invisible' User Interface (IUI) of the future that simply works non-stop in the background to monitor and improve health for everyone. It will just be there – serving mankind.

Recommended Links
Systems & Projects

News Sites

Monday, August 1, 2016

The Industrial Revolution Version 4.0

My grandparents grew up during the final transition from the 'Agriculture Age' into the 'Industrial Age' back in the early 1900's. I grew up in the 1960's and have lived and worked during the transition from the 'Industrial Age' into the 'Information Age' of the 21st Century. Imagine what advancements and massive changes our children and grandchildren will see and experience by 2050. They are already about to experience the impact of the 4th Industrial Revolution that is dramatically altering current manufacturing processes in a wide range of industries as advanced manufacturing machines are married up with the latest information technologies. Read Redefining Our Purpose as Civilization Keeps Evolving.


The term "Industry 4.0" is often used to refer to the 4th Industrial Revolution. It involves the use of a variety of new strategies and multiple hi-tech technologies to further advance the current state of manufacturing systems in a wide range of industries, e.g. aviation, automobiles, appliances, electronics.

  • The 1st Industrial Revolution mobilised the mechanization of production using water and steam power back in the 19th century.
  • The 2nd Industrial Revolution then introduced mass production techniques coupled with the use of electrical power in the early 20th century.
  • The 3rd Industrial Revolution involved the use of computers and the growing field of information technology to further automate production processes during the latter part of the 20th century.
  • The 4th Industrial Revolution is now taking hold in the 21st century. It involves the convergence and use of multiple hi-tech solutions for use in the 'smart factories' of the future, e.g. Internet of Things, Robotics, 3-D Printing, Artificial Intelligence, Wearable Systems, Nanotechnology, Big Data, Cloud Computing...

The basic principle of Industry 4.0 is that by connecting manufacturing machines and information systems, businesses are now creating intelligent networks along the entire value chain that can control each other autonomously.
  • In Industry 4.0, one finds interconnected hi-tech 'intelligent' machines which can predict failures and trigger maintenance processes autonomously and self-aware logistic systems which can react rapidly to unexpected changes in production.
  • In the Industry 4.0 manufacturing scenario, boundaries of individual factories will also most likely no longer exist. Instead, there will be multiple interconnected 'smart factories' in different geographical regions.

Current Activities

Like the industrial revolutions that preceded it, the 4th Industrial Revolution has the potential to further raise global income levels and improve the quality of life for populations around the world. The development of 'smart factories' and manufacturing processes will bring a raft of benefits that will take companies to a new level with their operations. McKinsey Global Institute predicts that the annual economic impact of Industry 4.0 operations and equipment optimization will range between $1.2 trillion to $3.7 trillion in 2025.

The 4th Industrial Revolution is evolving at an exponential pace and is disrupting almost every industry in every country. The breadth and depth of these changes herald the transformation of entire systems of production, management, and governance. As automation substitutes for labor across the entire economy, the net displacement of workers by machines as a result of the 4th Industrial Revolution may further increase the gap between wealthy business owners and labor workforce.


The transition to Industry 4.0 requires huge levels of change and new skills in every US company in the manufacturing industry, across their entire organization — touching almost every department and function.

To acquire these new skills, there is a need to form public-private-partnerships, cross-enterprise co-ops and new training programs at universities and technical schools to help adapt to the change that is now upon us. It's happening right now at our own Central Carolina Technology College in the new Advanced Manufacturing Technology Training Center.


While the US manufacturing industry moved many of its factories overseas over the past two decades to take advantage of cheap labor, note that many of those manufacturing companies are now moving operations back to the US – into new 'smart factories' of the future.

Smart factories have machines that are augmented with web connectivity and connected to a system that can visualize the entire production chain and make decisions on its own. Development of modern smart factories is well on its way and will change many of today's manufacturing jobs. By one estimate, as many as 47 percent of U.S. jobs are at risk from automation and the 4th Industrial Revolution.

Europe is moving to embrace Industry 4.0 – and so are we. Get ready to see some major changes coming down the pike for he US manufacturing industry and its workforce.

Selected References

Video Links

Other Links – Organizations & Reports
Manufacturing Tomorrow – Industry 4.0