Lifeboat Foundation

Could the FDA crush IoT opportunities in Healthcare?

The U.S. Food and Drug Administration last week took a step toward addressing the threat the Internet of Things poses to patients and their data by releasing some proposed guidelines for managing cybersecurity in medical devices.

“A growing number of medical devices are designed to be networked to facilitate patient care. Networked medical devices, like other networked computer systems, incorporate software that may be vulnerable to cybersecurity threats,” the FDA says in its proposal.

Continue reading “FDA Guidelines Target IoT Medical Device Security” »

In a first, a driverless bus will now have to undergo real world traffic while shuttling passengers as a public trial on Dutch roads begins.

While Google and Uber are currently experimenting with self-driving cars, other companies are adapting the same idea to public transportation. Trials for driverless buses and trains are currently ongoing across the world.

Continue reading “This Driveless Shuttle Bus Will Soon be on Dutch Public Roads” »

How fast is Mach 24? A little over 18,000 miles per hour, which could allow the Antipode Concept jet to fly from NYC to London in the time it takes to eat lunch.

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This is sad in a way; especially as you see the large gap that still remains in Cyber Security v. hackers. 2015 was not a stellar year for security against hackers. Quantum does offer hope for many in finally getting a handle on Cyber Security; however, that may be even 7 years away before main street is able to leverage an operational Quantum Internet and/ or platform.

However, tech companies & proven Cyber talent need to strategically come together under a broader cyber program (beyond just the US Government and special interest groups; or a couple of venture partnerships) to resolve Cyber Security once and for all. Granted there has been some attempts for companies and industry talent to cross collaborate & address the Cyber Threat challenges for a while now. And, myself and others from big tech have worked together on “special programs to address the Cyber Threat Challenges.” Unfortunately, it hasn’t been enough; we need something more on a larger scale.

https://lnkd.in/bRzqQNf

Continue reading “Cyco.net Inc. Signs $20 Million Equity Line of Credit with Cornell Capital Partners” »

Hope it is a success; he will need it.

Reports claim that the Tesla Model 3, the Palo Alto automaker’s long-awaited electric car for the masses, will be unveiled in March. Better yet, the company also has a Model Y compact crossover planned for the future, though details on this vehicle are largely limited to the type of vehicle it would be.

March’s Model 3 launch will focus exclusively on the new EV – an electric sedan like the Model S, but this time sold at a more affordable price point. Tesla CEO and founder Elon Musk called the vehicle “probably the most profound car that we make” and a “very compelling car at an affordable price,” and that only adds to the hype of a car that’s expected to drive Tesla sales to 500,000 in 2020, from a mere 50,000 in 2015.

Continue reading “Tesla Model 3 will be unveiled in March, with budget Model Y CUV to follow” »

In less than 9 yrs.

HONG KONG, Jan. 30 (UPI) — SpaceX and Tesla CEO Elon Musk said he plans to send humans to Mars by 2025.

Continue reading “Elon Musk: SpaceX to make trip to Mars” »

A new form of matter, in which electrical charge swirls in “polar vortices,” has been observed in a ferroelectric material.

Notably, ferroelectric materials display unique electrical or magnetic properties, as such, the discovery holds intriguing possibilities for advanced kinds of memory and processors that take up far less space, and could also “rewrite our basic understanding of ferroelectrics,” according to the researchers who observed them.

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New research from Griffith University’s Centre for Quantum Dynamics is broadening perspectives on time and space.

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The game of Go has long been viewed as the most challenging of classic games for artificial intelligence due to its enormous search space and the difficulty of evaluating board positions and moves.

Google DeepMind introduced a new approach to computer Go with their program, AlphaGo, that uses value networks to evaluate board positions and policy networks to select moves. These deep neural networks are trained by a novel combination of supervised learning from human expert games, and reinforcement learning from games of self-play. Without any lookahead search, the neural networks play Go at the level of state-of-the-art Monte-Carlo tree search programs that simulate thousands of random games of self-play. DeepMind also introduce a new search algorithm that combines Monte-Carlo simulation with value and policy networks. Using this search algorithm, our program AlphaGo achieved a 99.8% winning rate against other Go programs, and defeated the European Go champion by 5 games to 0. This is the first time that a computer program has defeated a human professional player in the full-sized game of Go, a feat previously thought to be at least a decade away.

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