Lifeboat Foundation

Of the seven patterns of AI that represent the ways in which AI is being implemented, one of the most common is the recognition pattern. The main idea of the recognition pattern of AI is that we’re using machine learning and cognitive technology to help identify and categorize unstructured data into specific classifications. This unstructured data could be images, video, text, or even quantitative data. The power of this pattern is that we’re enabling machines to do the thing that our brains seem to do so easily: identify what we’re perceiving in the real world around us.

The recognition pattern is notable in that it was primarily the attempts to solve image recognition challenges that brought about heightened interest in deep learning approaches to AI, and helped to kick off this latest wave of AI investment and interest. The recognition pattern however is broader than just image recognition In fact, we can use machine learning to recognize and understand images, sound, handwriting, items, face, and gestures. The objective of this pattern is to have machines recognize and understand unstructured data. This pattern of AI is such a huge component of AI solutions because of its wide variety of applications.

The difference between structured and unstructured data is that structured data is already labelled and easy to interpret. However unstructured data is where most entities struggle. Up to 90% of an organization’s data is unstructured data. It becomes necessary for businesses to be able to understand and interpret this data and that’s where AI steps in. Whereas we can use existing query technology and informatics systems to gather analytic value from structured data, it is almost impossible to use those approaches with unstructured data. This is what makes machine learning such a potent tool when applied to these classes of problems.

Add another giant bug to the list of things Washington state is working to handle right now.

Earlier this week, scientists said they had spotted Asian giant hornets in the state — and it’s still unknown how they got there.

Now there’s another threat: a non-native gypsy moth.

👽 We are running out of sand, Find out why.

Fyodor R.

Continue reading “World Is Running Out Of Sand — Why There’s Now A Black Market For It” »

What if we built a space megastructure bigger that the Sun?

Young blood plasma is known to confer beneficial effects on various organs in mice. However, it was not known whether young plasma rejuvenates cells and tissues at the epigenetic level; whether it alters the epigenetic clock, which is a highly-accurate molecular biomarker of aging. To address this question, we developed and validated six different epigenetic clocks for rat tissues that are based on DNA methylation values derived from n=593 tissue samples. As indicated by their respective names, the rat pan-tissue clock can be applied to DNA methylation profiles from all rat tissues, while the rat brain-, liver-, and blood clocks apply to the corresponding tissue types. We also developed two epigenetic clocks that apply to both human and rat tissues by adding n=850 human tissue samples to the training data. We employed these six clocks to investigate the rejuvenation effects of a plasma fraction treatment in different rat tissues. The treatment more than halved the epigenetic ages of blood, heart, and liver tissue. A less pronounced, but statistically significant, rejuvenation effect could be observed in the hypothalamus. The treatment was accompanied by progressive improvement in the function of these organs as ascertained through numerous biochemical/physiological biomarkers and behavioral responses to assess cognitive functions. Cellular senescence, which is not associated with epigenetic aging, was also considerably reduced in vital organs. Overall, this study demonstrates that a plasma-derived treatment markedly reverses aging according to epigenetic clocks and benchmark biomarkers of aging.

Several authors are founders, owners, employees (Harold Katcher and Akshay Sanghavi) or consultants of Nugenics Research (Steve Horvath and Agnivesh Shrivastava) which plans to commercialize the “Elixir” treatment. Other authors (Kavita Singh, Shraddha Khairnar) received financial support from Nugenics Research. The other authors do not have conflict of interest.

“You want to engage as many targets as you can at longer range so what you get at short range is a few leakers, not the whole swarm,” says McGovern.

Coyote 2 has entered service with the U.S. military and Raytheon are now offering it to international customers. The attack on Abqaiq, and mass drone assaults on the Russian airbase at Khmeimim in Syria, show how easily swarms of drones can be deployed even by non-state actors. Such attacks can rapidly deplete stocks of expensive missiles, or overwhelm them. Any drones that get through can attack with lethal effects.

In future conflicts, drone swarm versus interceptors is likely to become an increasingly key battle. Whoever has the fastest, most agile, and most numerous drones is likely to come out the winner. Coyote 2 may help defenders stay ahead of the threat.

Bodies of coronavirus victims have been seen lying in the streets of the Ecuadorian capital amid warnings the pandemic is yet to peak across Latin America.

Forensics experts were seen attending to the corpse of a 65-year-old man suspected of contracting COVID-19 in Quito on Tuesday. Funeral home workers later arrived to load him into a coffin and drive him away.

Continue reading “Bodies of Covid-19 victims lie in the streets of Ecuadorian city” »

‘I still can’t believe what I’m seeing.’ One couple’s apartment overlooks the street where a morgue was erected.

#MayTheFourthBeWithYou!

Perhaps they have what it takes to face the First Order, but do Kelly Marie Tran and Naomi Ackie have what it takes to train like astronauts?

The Star Wars duo spent the day at Johnson Space Center training like astronauts and learning about NASA’s plans to explore the Moon with the new #Artemis program, which includes landing the first woman and next man on the lunar surface by 2024. Follow Tran and Ackie – used to traveling through galaxies far, far away – through their training with NASA Astronauts Megan McArthur and Jessica Watkins!