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Ask an Information Architect, CDO, Data Architect (Enterprise and non-Enterprise) they will tell you they have always known that information/ data is a basic staple like Electricity all along; and glad that folks are finally realizing it. So, the same view that we apply to utilities as core to our infrastructure & survival; we should also apply the same value and view about information. And, in fact, information in some areas can be even more important than electricity when you consider information can launch missals, cure diseases, make you poor or wealthy, take down a government or even a country.


What is information? Is it energy, matter, or something completely different? Although we take this word for granted and without much thought in today’s world of fast Internet and digital media, this was not the case in 1948 when Claude Shannon laid the foundations of information theory. His landmark paper interpreted information in purely mathematical terms, a decision that dematerialized information forever more. Not surprisingly, there are many nowadays that claim — rather unthinkingly — that human consciousness can be expressed as “pure information”, i.e. as something immaterial graced with digital immortality. And yet there is something fundamentally materialistic about information that we often ignore, although it stares us — literally — in the eye: the hardware that makes information happen.

As users we constantly interact with information via a machine of some kind, such as our laptop, smartphone or wearable. As developers or programmers we code via a computer terminal. As computer or network engineers we often have to wade through the sheltering heat of a server farm, or deal with the material properties of optical fibre or copper in our designs. Hardware and software are the fundamental ingredients of our digital world, both necessary not only in engineering information systems but in interacting with them as well. But this status quo is about to be massively disrupted by Artificial Intelligence.

A decade from now the postmillennial youngsters of the late 2020s will find it hard to believe that once upon a time the world was full of computers, smartphones and tablets. And that people had to interact with these machines in order to access information, or build information systems. For them information would be more like electricity: it will always be there, and always available to power whatever you want to do. And this will be possible because artificial intelligence systems will be able to manage information complexity so effectively that it will be possible to deliver the right information at the right person at the right time, almost at an instant. So let’s see what that would mean, and how different it would be from what we have today.

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Neurons created from chemically induced neural stem cells. The cells were created from skin cells that were reprogrammed into neural stem cells using a cocktail of only nine chemicals. This is the first time cellular reprogramming has been accomplished without adding external genes to the cells. (credit: Mingliang Zhang, PhD, Gladstone Institutes)

Scientists at the Gladstone Institutes have used chemicals to transform skin cells into heart cells and brain cells, instead of adding external genes — making this accomplishment a breakthrough, according to the scientists.

The research lays the groundwork for one day being able to regenerate lost or damaged cells directly with pharmaceutical drugs — a more efficient and reliable method to reprogram cells and one that avoids medical concerns surrounding genetic engineering.

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Russia’s ongoing nuclear fallout challenges.


MUSLYUMOVO, Russia (AP) — At first glance, Gilani Dambaev looks like a healthy 60-year-old man and the river flowing past his rural family home appears pristine. But Dambaev is riddled with diseases that his doctors link to a lifetime’s exposure to excessive radiation, and the Geiger counter beeps loudly as a reporter strolls down to the muddy riverbank.

Some 50 kilometers (30 miles) upstream from Dambaev’s crumbling village lies Mayak, a nuclear complex that has been responsible for at least two of the country’s biggest radioactive accidents. Worse, environmentalists say, is the facility’s decades-old record of using the Arctic-bound waters of the Techa River to dump waste from reprocessing spent nuclear fuel, hundreds of tons of which is imported annually from neighboring nations.

The results can be felt in every aching household along the Techa, where doctors record rates of chromosomal abnormalities, birth defects and cancers vastly higher than the Russian average — and citizens such as Dambaev are left to rue the government’s failure over four decades to admit the danger.

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Nice; however, I see also 3D printing along with machine learning being part of any cosmetic procedures and surgeries.


With an ever-increasing volume of electronic data being collected by the healthcare system, researchers are exploring the use of machine learning—a subfield of artificial intelligence—to improve medical care and patient outcomes. An overview of machine learning and some of the ways it could contribute to advancements in plastic surgery are presented in a special topic article in the May issue of Plastic and Reconstructive Surgery®, the official medical journal of the American Society of Plastic Surgeons (ASPS).

“Machine learning has the potential to become a powerful tool in plastic surgery, allowing surgeons to harness complex clinical data to help guide key clinical decision-making,” write Dr. Jonathan Kanevsky of McGill University, Montreal, and colleagues. They highlight some key areas in which machine learning and “Big Data” could contribute to progress in plastic and reconstructive surgery.

Machine Learning Shows Promise in Plastic Surgery Research and Practice

Machine learning analyzes historical data to develop algorithms capable of knowledge acquisition. Dr. Kanevsky and coauthors write, “Machine learning has already been applied, with great success, to process large amounts of complex data in medicine and surgery.” Projects with healthcare applications include the IBM Watson Health cognitive computing system and the American College of Surgeons’ National Surgical Quality Improvement Program.

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Lookout Silicon Valley — FDA is here. I do suggest tech companies working on technologies that enhances or alters any bio living things to ensure that your certifications, processes are well defined and govern, and in some cases the engineers, etc. will need some level of a medical background and certifications as well. Why many have stated that future engineers and technologists will need a bio background through education, etc.


Helmy Eltoukhy’s company is on a roll. The start-up is a leading contender in the crowded field of firms working on “liquid biopsy” tests that aim to be able to tell in a single blood draw whether a person has cancer.

Venture investors are backing Guardant Health to the tune of nearly $200 million. Leading medical centers are testing its technology. And earlier this month, it presented promising data on how well its screening tool, which works by scanning for tiny DNA fragments shed by dying tumor cells, worked on an initial group of 10,000 patients with late-stage cancers.

Just one thing is holding the company back: Guardant Health has yet to get approval from Food and Drug Administration.

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