Lifeboat Foundation

HAPPY NEW YEAR!

| My holiday message to you, guys!

Continue reading “2022: The Gateway Year to Transcension” »

Lockheed’s Star Clipper was a proposed Earth-to-orbit spaceplane based on a large lifting body spacecraft and a wrap-around drop tank. Originally proposed during a USAF program in 1966, the basic Star Clipper concept lived on during the early years of the NASA Space Shuttle program, and as that project evolved, in a variety of new versions like the LS-200.

The LS-200 was very similar to the earlier version, it was smaller overall, The M-1 engines were replaced with the Space Shuttle Main Engines.

This has been our first year of seriously pursuing our YouTube Channel. We have met so many wonderful people and are grateful to each and every one of you for watching our videos and supporting us. 2021 has been a great year for us, and we hope it has been a great year for you too. Drop a comment and let us know some of your accomplishments from 2021, hope you enjoy the video and don’t forget to check out Friday’s video!

Channels I mentioned in the video:

Continue reading “Accomplishments of 2021 | Plans for 2022” »

Wccftech reveals the specifications of the AMD Ryzen 6,000 mobile CPUs.

The specifications of the upcoming AMD Ryzen 6,000 series have just been ‘partially’ revealed by Wccftech. The website only lists three of the upcoming 6nm Zen3+ processors which are all to offer 8-core and 16-threads. There is currently no information on 6-core parts.

To help first responders find people during disasters, researchers are training a search and rescue drone to listen for human screams — and then locate their source.

Help from above: Drones are proving incredibly useful for search and rescue operations. If a person is lost, sending a drone over an area to look for them is faster than trying to cover the same ground with people or dogs.

It’s also safer to use a search and rescue drone if the person happens to be trapped in a disaster zone, such as the site of a wildfire or in a collapsed building.

Rather than waiting for multiple crashes to happen at a location before intervening to improve road safety, a new study suggests we can identify dangerous areas proactively — by measuring cyclist stress levels as they navigate city streets.

The challenge: When designing a city’s transportation infrastructure, urban planners must balance the needs of drivers with the safety of pedestrians and cyclists. This is often done through surveys of local residents and best practices learned over time.

This process doesn’t always get it right, though, so sometimes cities have to install safety improvements, such as crosswalks, bike lanes, or stop lights, at dangerous intersections or stretches of road.

Hyperbaric Oxygen Therapy (HBOT) study proven to reverse aging in humans. This unique oxygen treatment is available at Aviv Clinics.

Social media claimed the space agency is using religious experts to predict reactions to aliens.

Social media has falsely claimed NASA hired religious experts to predict people’s reactions to aliens. The truth is deeper — and more mundane.

Artificial intelligence is unlike previous technology innovations in one crucial way: it’s not simply another platform to be deployed, but a fundamental shift in the way data is used. As such, it requires a substantial rethinking as to the way the enterprise collects, processes, and ultimately deploys data to achieve business and operational objectives.

So while it may be tempting to push AI into legacy environments as quickly as possible, a wiser course of action would be to adopt a more careful, thoughtful approach. One thing to keep in mind is that AI is only as good as the data it can access, so shoring up both infrastructure and data management and preparation processes will play a substantial role in the success or failure of future AI-driven initiatives.

According to Open Data Science, the need to foster vast amounts of high-quality data is paramount for AI to deliver successful outcomes. In order to deliver valuable insights and enable intelligent algorithms to continuously learn, AI must connect with the right data from the start. Not only should organizations develop sources of high-quality data before investing in AI, but they should also reorient their entire cultures so that everyone from data scientists to line-of-business knowledge workers understand the data needs of AI and how results can be influenced by the type and quality of data being fed into the system.