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It may sound like sci-fi. But millions and millions of dollars are pouring into projects to mine asteroids and the moon. And with a space gold rush comes space pirates.

With trillions of dollars worth of minerals lying just under the moon’s surface or spinning around the solar system inside asteroids, space mining is big business.

Well, big potential business. No one has dug nickel out of an asteroid or scooped any tantalum from the lunar dust—at least not for profit. Before space miners can get drilling, they need to invent specialized industrial robots, set up orbital outposts and—arguably most importantly—convince investors, workers, and prospective buyers that space minerals are worth the cost and effort of mining them.

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Bots are only as good as their under pinning legacy infrastructure/ networks. Glad to see this article and someone speaking again for investors outside SV.


Bots hit the mark on every pattern Silicon Valley loves. But for investors and entrepreneurs — and executives outside of San Francisco trying to figure out what this bot business is all about — it’s worth taking a step back and looking at this frenzy with fresh eyes and a bigger picture.

Simple interactions between people — making a connection, following and messaging — when captured in a digital network of people who know each other already personally, professionally or by reputation, have created a handful of extremely valuable networks where three billion people today spend the majority of their time.

Facebook pages are like the once-vibrant amusement park that got knocked down for condos.

Again; many problems with AI & IoT all ties back to the infrastructure of things. Focus on fast tracking QC and an interim solution (pre-QC) such as a mix of Nvidia’s GPU, blockchain for financial transactions, etc. to improve the infrastructure and Net then investors will begin to pay more attention to AI, etc.


After more than 60 years since its conceptual inception — and after too many hype-generating moments — AI is yet again making its presence felt in mainstream media.

Following a recent WEF report, many perceive AI as a threat to our jobs, while others even go so far to assert that it poses a real threat to humanity itself.

What is clear for the time being is that there are many questions that still remain unanswered: Can we actually create conscious machines that have the ability to think and feel? What we do we mean by the word conscious in the first place? What is the accurate definition of intelligence? And what are the implications of combining the Internet of Things (IoT) with intelligence?

Swarms of graphene-coated nanobots could be our best hope yet of cleaning up the murky oceans, with scientists demonstrating that new microscopic underwater warriors can remove up to 95 percent of lead in wastewater in just 1 hour.

The invention couldn’t have come at a better time, with ocean pollution at an all-time high, much of it stemming from industrial activities such as electronics manufacturing. By 2050, it’s estimated that there will be more plastic than fish in the world’s oceans, and waste metals such as lead, arsenic, mercury, cadmium, and chromium are affecting the delicate ecological balance that will make things very difficult for any animal that relies on it for food — including humans — in the near future.

Developed by an international team of researchers, the newly developed nanobots have three key components: a graphene oxide exterior to absorb lead (or another heavy metal); a nickel core that enables researchers to control the nanobots’ movement via a magnetic field; and an inner platinum coating that functions as an engine and propels the bots forward via a chemical reaction with hydrogen peroxide.

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More broadly, there’s a paradox in all this, that reflects the overarching direction of contemporary robotics. As machines become more and more general-purpose, they’re also going to become much better at tailoring their behavior to different kinds of people—and even eventually to different individuals. Already, SoftBank’s Pepper robot, a humanoid designed to interactive with people, is billed as the first machine able to read human emotions. For people to accept robots as they increasingly work their way into various areas of our lives, robots will have to develop fairly sophisticated understanding of individual human needs.

“If an assistive robot tries to help you, how much help you want really depends on your personality and the situation,” Dragan says. That’s also why robots are in some cases changing form—some of the machines designed to care for humans, for example, will have soft, cuddly bodies rather than just hard metal exoskeletons.

“We’re going to have more and more capable robots,” Dragan told me. Which means when machines interact with people, we’ll be able to customize them depending on who’s around; or if humans are around at all.

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Some fundamentals to consider when implementing online bots. It truly has to be for companies/ businesses a cultural, operating model, and business model fit. And, for consumers it is about your own personable fit. Not all bots are created equal meaning no one size fits all. Do your due diligence like you would on any investment as a business and any long term relationship as a consumer.


A version of this essay was originally published at Tech.pinions, a website dedicated to informed opinions, insight and perspective on the tech industry.

We’ve now had two major developer events in a row where chat bots were a significant theme, with both Microsoft’s Build and now Facebook’s F8 focusing on this rapidly emerging new form of interaction with companies and brands. With two such big names behind the trend, it’s easy to get caught up in the hype and enthusiasm these companies obviously share for the technology. But it’s important to stay grounded as we evaluate chat bots as a potential successor to today’s app model.

The first thing to note is that Facebook and Microsoft have strong incentives to pursue the bot vision. Both companies failed to make a meaningful dent in the mobile operating system battle and, as such, find themselves in secondary roles as makers of apps that run on other people’s platforms. This shuts them out of many of the opportunities associated with owning a mobile operating system, and puts them perennially in a secondary position, having to work around the limitations placed on third-party apps and the inherent disadvantages they face relative to pre-installed applications. So it’s not surprising both companies are now embracing what — in at least some visions of the future — promises to be the replacement for mobile apps. But it’s important to keep these incentives in mind in evaluating their claims about the potential of bots — Facebook and Microsoft have a massive vested interest in seeing this trend succeed.

Regulation is not the immediate problem with autonomous cars. Example, is Google car has been deemed approved by existing regs. However, the issue is the broader public’s trust due to the various reports of hacking of connected cars such as the Nissan Leaf, etc. Until we put in place a more resilient net infrastructure such as Quantum; slow down will happen. I suggest GM to read the news more because everything that I stated has been well communicated in the news and research for the past 4 months.


GM Ventures president Lauckner believes regulation will not halt the advance of the autonomous car.

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The office today for some and near future for others.


Vodafone says collaboration and gaming will fuel future office design.

Young people coming into employment in the next five years will work in a virtual reality office in the future, according to Vodafone.

Speaking at a keynote speech at the UC Expo in London, Peter Terry-Brown, head of product management at Vodafone, said 14-to-16-year-olds worked together in a virtual environment better than an older group did in a traditional office, when the telco decided to compare them.

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