Lifeboat Foundation

The year is 2021. You’re driving down the highway on your daily commute. You approach a car that’s stubbornly driving at the max speed limit. You decide to pass this overly law-abiding driver, except when you do, you discover there’s no one in the front seat.

As we learned in the first part of our Future of Transportation series, self-driving cars will become publicly available in only a few short years. But due to their component parts, they will likely be far too expensive for the average consumer. Does this mark self-driving cars as an innovation that’s dead in the water? Who’s going to buy these things?

Most articles about autonomous vehicles (AVs) fail to mention that the initial target market for these vehicles won’t be the average consumer—it will be big business. Specifically, taxi and car sharing services. Why? Let’s look at the opportunity self-driving cars represent to one of the biggest taxi/rideshare services on the planet: Uber.

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The lifting body vehicle will be launched on a United Launch Alliance (ULA) Atlas V rocket and will have the ability to return—along with cargo—by landing at any available airport. SNC’s Dream Chaser is made of non-toxic materials meaning it can touch down on commercial runways and be accessed immediately.

The chance to showcase a reusable spacecraft on government funded missions bodes well for a potential pivot to commercial use. SNC is at the leading edge of private space companies that one day might cater to a more diverse base of consumers like universities, medical companies and individuals.

To learn more about Dream Chaser’s history and development, we spoke to John Roth, Vice President of Business Development for SNC’s Space Systems.

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This is definitely a major feat for global business and partnerships.

Within 10 years, earpieces will whisper nearly simultaneous translations—and help knit the world closer together.

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True points and many that I have been sharing on Quantum around its own potential to change everything that we know about technology (devices, internet & networking in general, wireless and satellites, AI, advancements in biotech, security, big data, and singularity itself). The author also highlights many of the same concerns that I have shared around hackers on Quantum breaking through the older digitized platforms and networks; therefore, many companies and governments are exposed as well as consumers who have not adopted Quantum.

Although the author speculates we’re less than 10 yrs for Quantum to be seen in the everyday usage; I believe we’re within 7 yrs.

Within four years quantum computers will have the beating of conventional computers and that will produce a dramatic change in both the technology landscape and in business, according to Professor Jeremy O’Brien from Bristol University.

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Google is working in secret at a spaceport in New Mexico to build and test solar-powered internet drones in a new initiative codenamed Project SkyBender, according to a report from The Guardian today. The company is reportedly renting 15,000 square feet of hangar space from Virgin Galactic — the commercial spaceflight outfit of business mogul Richard Branson — at the privately owned Spaceport America located near a town called Truth or Consequences. The lynchpin of Project SkyBender appears to be cutting-edge millimeter wave technology, which can transmit gigabits of data every second at speeds up to 40 times faster than modern 4G LTE.

Millimeter waves are thought to be the future of high-speed data transmission technology, and may form the backbone of 5G mobile networks. Aereo founder Chet Kanojia’s new startup Starry announced earlier this week it would use millimeter wave tech to bring gigabit internet speeds to people’s homes via Wi-Fi. Millimeter waves have much shorter range than current smartphone signals and are easily disrupted by weather conditions like rain, fog, and snow. Using what’s called a phased array, however, Google and others could potentially focus the transmissions over greater distances.

Google is currently testing the technique with a new solar-powered drone called Centaur and other units made by a division known as Google Titan, which the company formed after it acquired drone maker Titan Aerospace in 2014. The company has a deal with the FCC to continue testing until July, according to The Guardian. It’s also paying Virgin Galactic about $1,000 a day to use its hanger, as well as an additional $300,000 to Spaceport America to construct installations with servers, millimeter wave transceivers, and other tech onsite.

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Overall, this is a good article. However, for AI to truly take off across industry; you must understand the industries that you’re trying to enable. I keep finding this gap in all of the AI discussions.

Yes, we have opportunities in the consumer space; however, if you truly want to be embraced by industry to enable it’s front and back office operations you must ensure that the AI that you’re developing can easily support and enable businesses. Granted not all AI belongs in business and are sometimes better suit for the consumer space or government and vice versa. However, when designing and developing AI; you truly have to know up front who is your primary targeted audience and remain focused towards that audience.

Dr. Kailash Nadh, who holds a PhD in artificial intelligence from London’s Middlesex University and is the CTO of financial technology firm Zerodha, talks about why AI hasn’t picked up yet and what lies in the future.

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Finally, folks are getting the real picture around re-tooling and retraining folks for new jobs in an oncoming AI future. In my posts; I have highlighted the need for governments and businesses to retrain people as well as ensure that their is some level of funding established to assist displaced workers, and especially as we see the maturity of Quantum in the AI space this will definitely be a must.

“If every tool, when ordered, or even of its own accord, could do the work that befits it… then there would be no need either of apprentices for the master workers or of slaves for the lords.” – Aristotle.

Humans have such a love/hate relationship with technology that it’s almost comical. All of our own creation, once we’ve perfected amazing innovations, we often turn on them–when convenient. As the PC became common and marketed toward the masses in the 80s, a new world of automation, both good and bad, was predicted. As mad scientists tucked away in secret, underground labs began creating evil robots in a slew of sci-fi movies that we consumed greedily, along with becoming affectionate toward machines like C-3P0 and R2-D2 just birthed in what would be a continuing pop subculture with a momentum of its own, our imaginations ran wild. Fearmongers cited that automation would make many jobs obsolete; robots would begin doing what was left as an economic apocalypse ensued for the human race.

Continue reading “World Economic Forum Report: Existing Workforce Must Prepare, Re-Skill & Up-Skill for Impending Fourth Industrial Revolution” »

“But if you are familiar with the advanced search options these sites offer or read any number of books or blogs on ‘Google Dorks, ’ you’ll likely be more fearful of them than something with limited scope like Shodan”.

And it’s recently emerged that Shodan, a search engine for the Internet of Things, allows users to snoop on screenshots of anything filmed by a webcam from cash register cameras to babies sleeping in a cot. It’s pitched mainly as a security research tool and a way for businesses to monitor connected device usage, but it has also exposed controls to utilities, heating and cooling units, and traffic systems.

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In a paper published in Nature on 28th January 2016, we describe a new approach to computer Go. This is the first time ever that a computer program “AlphaGo” has defeated a human professional player.

The game of Go is widely viewed as an unsolved “grand challenge” for artificial intelligence. Games are a great testing ground for inventing smarter, more flexible algorithms that have the ability to tackle problems in ways similar to humans. The first classic game mastered by a computer was noughts and crosses (also known as tic-tac-toe) in 1952. But until now, one game has thwarted A.I. researchers: the ancient game of Go.

Continue reading “Google DeepMind: Ground-breaking AlphaGo masters the game of Go” »