Toggle light / dark theme

Quantum Computing – things that need to be considered for our future Quantum Computing World

Sharing my recent posting that I did on Linkedin Pulse. I will admit that I purposely delayed this article in concerns of creating a panic; however, with the progress that has been occuring across the globe and in some cases accelerated the maturity of this technology; I believe it is time for governments, industries, etc. to start thinking about their own broader strategic plans around Quantum as well as how they will address any impacts.


Quantum Computing is making great progress in so many areas such as chips, network/ Internet, etc. each month. And, many industries such as financials, telecom, tech, and public sector namely defense and space, etc. have made big investments in this technology as well as have developed some interesting partnerships such as Wall Street. Everything looks so promising and exciting for our future when we look at the various ways how Quantum Computing can change our lives around AI, improving the medical technologies, how we interact with devices (wearables, VR, etc.), and even how we travel will advance through this technology. The future looks extremely rosy and bright; right?.

I believe it can be with Quantum; however, in every major shift/ disruption in technology, there is always a transformation progression that has to naturally occur thru stages. And, Quantum is no different; however, the disruption that Quantum will bring is going to be on a much more massive scale than what we have seen in the past. The reason why is Quantum is truly going to impact and improve every area of technology not just in devices, or a platform, AI, VR, etc.; I mean everything in technology will be changed and improved by Quantum over time.

Granted this will not be like a major change overnight like we saw with the iPhone, etc. This initial change will occur over a series of years possibly over the next 7 to 10 years. As each country continues to accelerate in their own efforts to be a fully Quantumized; we need to understand where the potential risks exist and have a good plan for how we plan to address our own risks and challenges during and after this transformation.

Read more

USA, Russia and China among early entrants in race for Super Soldiers and Artificial Intelligence

Glad folks have awaken to the reality of our dated technology. The real question is will they truly be logical in their approach or believe more nuclear bombs are the answer.


The USA has been researching ways to enhance the biology and performance of soldiers for decades.

Deputy Defense Secretary Bob Work warned that America would soon lose its military competitive advantage if it does not pursue technologies such as employing artificial intelligence.

Altering human beings from the inside to more effectively fight in combat is claimed to presents ethical dilemmas for American scientists and military planners.

Read more

Why We Need A Legal Definition Of Artificial Intelligence

Everyone today claims they are a digital disruptor or have AI; even if they have call forwarding on their Skype phone thay claim to have AI. So, I do believe there do needs to be better standardized definitions around some of these terms in order to keep confusion down plus not comprimise the real value that these areas bring into the marketplace.


When we talk about artificial intelligence (AI) — which we have done lot recently — what do we actually mean? AI experts and philosophers are beavering away on the issue. But having a usable definition of AI – and soon — is vital for regulation and governance because laws and policies simply will not operate without one.

Creepy robots image from Shutterstock.

Read more

Processors That Work Like Brains Will Accelerate Artificial Intelligence

Weekend Reads: Even tiny fly brains can do many things computers can’t. This 2014 feature showed why making machines much smarter might require processors that more closely mimic brains.

____________________________________________

This weekend we revisit stories from MIT Technology Review’s archives that weigh the question of how far AI can go—and when.

Read more

/* */