Lifeboat Foundation

New Graphene based flash memory card coming.

Dotz Nano (ASX: DTZ) has successfully completed a proof of concept research study into the use of Graphene Quantum Dots (GQDs) in flash memory devices with the Kyung Hee University in South Korea.

GQDs are being developed for use in various applications including medical imaging, sensing, consumer electronics, energy storage, solar cells and computer storage.

Continue reading “Dotz Nano reveals proof of concept for a new type of flash memory” »

Well, I asked about Apple’s own investment in QC; we now have our answer.

Today the US Patent & Trademark Office published a patent application from Apple that reveals a new breakthrough material described as deformable touch-sensitive quantum tunneling material. It could be used in a smart iPhone case allowing for touch zones on the back of the case to control your iPhone. More importantly, it could be used as a material for making the iPhone itself. The use of this material would virtually eliminate bulky physical buttons forever making the iPhone near waterproof perfect and slick to the touch. The material could extend to a new smart Apple Watch band. Smart Apple Watch Bands have been on Apple’s mind for some time now as we’ve covered a number of interesting patent ideas like smart links, chameleonic bands with 3D touch and cooling and, easy recharging with a MacBook. Yet the use of quantum tunneling material in a band would allow for touch controls without seeing any buttons.

This could also apply to accessories like future EarPods to eliminate the bulky remote and much more. This breakthrough material will eventually provide Jony Ive’s industrial design team with new ways to streamline designs and finally eliminate physical buttons of any kind while allowing device designs to be even thinner.

Continue reading “Apple Patent Reveals Breakthrough Quantum Tunneling Touch-Sensitive Materials for iPhone, Smart Cases & More” »

Experiments show how electrons in Mott insulators with strong spin-orbit coupling arrange themselves to make the materials magnetic at low temperatures. The work helps bring us closer to a more complete quantum theory of magnetism.

The same kind of artificial intelligence that beat a top human player at Go could help grapple with the astonishing complexity of large quantum systems.

Many have asked me what does this DARPA announcement on their project (RadioBio) mean. Well, imagine a world in the next 10 to 15 years where you no longer need any devices (no smartphone, no AR contacts, no smartwatch, no wearables, no external BMIs or invasive implants, etc.) of any kind as Quantum Bio technology uses (in DARPA’s case) connected cell technology to connect people to people and information online (private and publically available. This approach is the least invasive method of turning cells into connected technology.

Military will mean no more lugging of devices and certain types of equipment around on the battlefield plus lower risk of stolen intelligence as no device or equipment left behind or stolen.

What does it mean to consumers? Means no more losing phones and other devices as well as broken down equipment be replaced every 2years and no more insurance and extra-warranty payments for devices; and no more devices stolen with your information on it. And, it means my doctors and body (AI and non-AI methods) can monitor my health and activate pain relief, etc. through biosystem treatments such as pain can be suppressed via the readings or before the pain is felt. It also empowers the immune system to proactively prevent diseases as the biosystem technology will monitor and treat as needed.

In Brief:

Physicists were able to simulate high-energy experimens thanks to this primitive quantum computer. Prediction of theoretical physics may soon be tested.

Our current computers are not capable of running simulations of high-energy physics experiments. However, quite recently, scientists were able to use a primitive quantum computer in the simulation of the spontaneous creation of particle-antiparticle pairs. This makes it easier for physicists to further investigate the fundamental particles. A research team published their findings in the journal, Nature.

Continue reading “Primitive Quantum Computing Helps Test Theoretical Physics” »

Playlist: Do We Live in a Simulated Reality?

The Quantum World of Digital Physics: Can a virtual reality be real?

Continue reading “The Quantum World of Digital Physics: Can a Virtual Reality be Real?” »

Sharing more research conducted on Quantum Bio’s Brain to Brain communications. For all my hardware/ device friends exploring their own futures in a QC world. This was resurfaced in Jan 2017; the report itself is still relevant. Quantum Bio truly will change our device markets, IoT, and medicine/ healthcare drastically. This will be where we truly see tech and bio as one.

Want to see real convergence of tech and bio meaning no more need for smart devices, improved immunology in humans to counteract proactively disease and illness, accelerate heal times from injuries, reverse aging, etc. then you need to definitely engage Quantum bio in your work and discoveries as many have seen its potential and making changes leveraging this technology.

What you do on the Internet is nobody’s business but yours. At ProxySite.com, we stand between your web use and anyone who tries to sneak a peek at it. Instead of connecting directly to a website, let us connect to the website and send it back to you, and no one will know where you’ve been. Big Brother (or other, less ominous snoops) won’t be able to look over your shoulder and spy on you to see what you’re reading, watching or saying.

Nice research paper on Quantum Neural Networks for BMI related technologies. This is not a new article and more of a study published in 2014. Quantum Bio will change BMI.

Another version of this topic.

A novel neural information processing architecture inspired by quantum mechanics and incorporating the well-known Schrodinger wave equation is proposed in this paper. The proposed architecture referred to as recurrent quantum neural network (RQNN) can characterize a nonstationary stochastic signal as time-varying wave packets. A robust unsupervised learning algorithm enables the RQNN to effectively capture the statistical behavior of the input signal and facilitates the estimation of signal embedded in noise with unknown characteristics.

Continue reading “Quantum Neural Network-Based EEG Filtering for a Brain–Computer Interface” »