Lifeboat Foundation

Since their invention, computers have become faster and faster, as a result of our ability to increase the number of transistors on a processor chip.

Today, your smartphone is millions of times faster than the computers NASA used to put the first man on the moon in 1969. It even outperforms the most famous supercomputers from the 1990s. However, we are approaching the limits of this electronic technology, and now we see an interesting development: light and lasers are taking over electronics in computers.

Processors can now contain tiny lasers and light detectors, so they can send and receive data through small optical fibres, at speeds far exceeding the copper lines we use now. A few companies are even developing optical processors: chips that use laser light and optical switches, instead of currents and electronic transistors, to do calculations.

Editor’s Note: The American Chemical Society is also issuing a press release today embargoed for 5am Eastern Time that can be requested at [email protected] or call 504−670−6721.

NEW ORLEANS, March 19, 2018 — Up until now, local inflammation and scar tissue from the so-called “foreign body response” has prevented the development of in-body sensors capable of continuous, long-term monitoring of body chemistry. But today scientists are presenting results showing tiny biosensors that become one with the body have overcome this barrier, and stream data to a mobile phone and to the cloud for personal and medical use.

“While fitness trackers and other wearables provide insights into our heart rate, respiration and other physical measures, they don’t provide information on the most important aspect of our health: our body’s chemistry,” explained Natalie Wisniewski, Ph.D. “Based on our ongoing studies, tissue-integrated sensor technology has the potential to enable wearables to live up to the promise of personalized medicine, revolutionizing the management of health in wellness and disease.” Dr. Wisniewski, who leads the team of biosensor developers, is the chief technology officer and co-founder of Profusa Inc., a San Francisco Bay Area-based life science company.

Continue reading “Injectable Body Sensors Take Personal Chemistry to a Cell Phone Closer to Reality” »

Kitty Hawk, an aeronautics firm funded by Alphabet CEO and Google co-founder Larry Page, is inching closer to its plans of creating Uber for flights: it’s unveiled Cora, a fully electric self-flying air taxi that can cover 100 km (62 miles) on a single charge – and you’ll soon be able to hail one with your phone.

Cora has been in the works for a while now, and it’s just been cleared to begin tests in New Zealand. The goal is for Kitty Hawk to launch a fleet of its flying taxis within the next three years. You can Click on photo to start video.

” target=“_blank” rel=“nofollow noopener”>watch a clip of the vehicle in action here.

Continue reading “Larry Page’s self-flying air taxis to take off in 3 years” »

NEW RELEASE OF PANGEA (v.0.3.3) ON ANDROID_

“The latest release has been published. v.0.3.3 includes bug fixes and UI/UX upgrades since the last release, and the ability to create, join and leave nations. The chat feature is working so now you can also have “Nation Group Chats” to speak with other Citizens of your Nation(s).”

Gateway to your decentralized world & P2P services.

This legendary camera maker has created an incredible holographic smartphone.

That’s not a lot to you. If your watch is off by 13.7 microseconds, you’ll make it to your important meeting just fine. But it wasn’t so nice for the first-responders in Arizona, Pennsylvania, Connecticut, and Louisiana, whose GPS devices wouldn’t lock with satellites. Nor for the FAA ground transceivers that got fault reports. Nor the Spanish digital TV networks that had receiver issues. Nor the BBC digital radio listeners, whose British broadcast got disrupted. It caused about 12 hours of problems—none too huge, all annoying. But it was a solid case study for what can happen when GPS messes up.

The 24 satellites that keep GPS services running in the US aren’t especially secure; they’re vulnerable to screw-ups, or attacks of the cyber or corporeal kind. And as more countries get closer to having their own fully functional GPS networks, the threat to our own increases. Plus, GPS satellites don’t just enable location and navigation services: They also give ultra-accurate timing measurements to utility grid operators, stock exchanges, data centers, and cell networks. To mess them up is to mess those up. So private companies and the military are coming to terms with the consequences of a malfunction—and they’re working on backups.

The 2016 event was an accidental glitch with an easily identifiable cause—an oops. Harder to deal with are the gotchas. Jamming and spoofing, on a small scale, are both pretty cheap and easy. You can find YouTube videos of mischievous boys jamming drones, and when Pokemon GO users wanted to stay in their parents’ basements, they sent their own phones fake signals saying they were at the Paris mall. Which means countries, and organized hacking groups, definitely can mess with things on a larger scale. Someone can jam a GPS signal, blocking, say, a ship from receiving information from satellites. Or they can spoof a signal, sending a broadcast that looks like a legit hello from a GPS satellite but is actually a haha from the hacker next-door.

Continue reading “GPS Isn’t Very Secure. Here’s Why We Need A Backup” »

Neural networks are powerful things, but they need a lot of juice. Engineers at MIT have now developed a new chip that cuts neural nets’ power consumption by up to 95 percent, potentially allowing them to run on battery-powered mobile devices.

Smartphones these days are getting truly smart, with ever more AI-powered services like digital assistants and real-time translation. But typically the neural nets crunching the data for these services are in the cloud, with data from smartphones ferried back and forth.

That’s not ideal, as it requires a lot of communication bandwidth and means potentially sensitive data is being transmitted and stored on servers outside the user’s control. But the huge amounts of energy needed to power the GPUs neural networks run on make it impractical to implement them in devices that run on limited battery power.

Continue reading “Putting AI in Your Pocket: MIT Chip Cuts Neural Network Power Consumption” »

Companies including Vodafone Germany, Nokia and Audi are working together to support the mission to install mobile network on moon.

Finkbeiner’s success highlights how deep learning, one of the most promising branches of artificial intelligence (AI), is making inroads in biology. The algorithms are already infiltrating modern life in smartphones, smart speakers and self-driving cars. In biology, deep-learning algorithms dive into data in ways that humans can’t, detecting features that might otherwise be impossible to catch. Researchers are using the algorithms to classify cellular images, make genomic connections, advance drug discovery and even find links across different data types, from genomics and imaging to electronic medical records.

A popular artificial-intelligence method provides a powerful tool for surveying and classifying biological data. But for the uninitiated, the technology poses significant difficulties.