Lifeboat Foundation

On the other side of a black hole is the other side. It’s not two dimensional like the artists renderings. The question is… what’s inside of it?

In a report this week from the science journal SciTechDaily, we learn of a scientific breakthrough that it clearly intended to be exciting and startling, but potentially worrisome as well. Scientists at the University of Cambridge have created a series of “model embryos” that include a functioning brain, a beating heart, and the foundation for all of the other bodily organs you would expect.

Experiments from Artemis I are headed to the moon an asteroid and beyond. See this mission overview which delves into the ten cubesat secondary payloads and the manikin experiments flying on Artemis I.

Worm-hole generators by the pound mass: https://greengregs.com/

Continue reading “Artemis I Payloads Moon an Asteroid and Beyond” »

As telemedicine has grown more popular, so have devices that allow people to measure their vital signs from home and transmit the results by computer to their doctors. Yet in many cases, obtaining accurate remote readings for people of color has proved a persistent challenge.

Take remote heart rate measurements, for example, which rely on a camera sensing subtle changes in the color of a patient’s face caused by fluctuations in the flow of blood beneath their skin. These devices, part of an emerging class of remote technologies, consistently have trouble reading color changes in people with darker skin tones, said Achuta Kadambi, an assistant professor of electrical and computer engineering at the UCLA Samueli School of Engineering.

Kadambi and his team have now developed a remote diagnostic technique that overcomes this implicit bias against darker skin while also making heart rate readings more accurate for patients across the full range of skin tones. Their secret? Combining the light-based measurements of a camera with radio-based measurements from radar.

Kyiv will lose nearly two-thirds of its deposits if the Kremlin is successful in annexing Ukrainian territory.

At least $12.4 trillion worth of Ukraine’s essential natural resources, including energy and mineral deposits, are now under Russian control.

“The Kremlin is robbing Ukraine” of its natural resources, the backbone of it’s economy, according to an analysis by SecDev posted by Washington Post on August 10.

Continue reading “In the Ukraine war, a battle for the nation’s mineral and energy wealth” »

I have a question for you that seems to be garnering a lot of handwringing and heated debates these days. Are you ready? Will humans outlive AI? Mull that one over. I am going to unpack the question and examine closely the answers and how the answers have been elucidated. My primary intent is to highlight how the question itself and the surrounding discourse are inevitably and inexorably rooted in AI Ethics.

A worthy question is whether humans will outlive AI, though the worthiness of the question is perhaps different than what you think it is. All in all, important AI Ethics ramifications arise.

Facebook (now Meta) popularized the Silicon Valley ethos with the saying “Move fast and break things”. This approach might have worked when disrupting the social media business, but it’s causing all sorts of problems for them as well as other major AI players. Breaking things and moving fast might be the reason why so many AI projects are failing. According to an MIT study, over 85% of AI projects fail to deliver their stated objectives, and 70% of data science projects never make it to fruition. Clearly moving fast and breaking things doesn’t work if you’re not getting closer to success.

There’s a difference between Iterating to Success and Breaking Things.

Early AI winners align organizational and business strategies to build value and manage risk.

The tool can identify symptoms of dengue, malaria, leptospirosis, and scrub typhus.

The study investigates both statistical and machine learning approaches. WHO has categorized dengue as a “neglected tropical disease.”

A prediction tool based on multi-nominal regression analysis and a machine learning algorithm was developed.

Continue reading “AI could revolutionize healthcare but can we trust it?” »