Lifeboat Foundation: Safeguarding Humanity
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Blog – Page 5099

While electric vehicles promise a green future, the batteries that power them don’t boast the same level of sustainability.

While driving electric vehicles is a step towards a greener future, the car batteries that power them are not as sustainable. Though the battery is at the heart of any EV, most are made from lithium-ion and have a limited lifespan that starts to degrade from the first time you charge them. So what happens when they reach capacity?

The cycle of charging and discharging causes them lose energy and power. The more charge cycles a battery goes through, the faster it will degrade. Once batteries reach 70 or 80% of their capacity, which happens around either 5 to 8 years or after 100,000 miles of driving, they have to be replaced, according to Science Direct.

Due to electric vehicles’ rising popularity, it goes without saying that their battery waste will become a major issue. Experts estimate that 12 million tons of batteries will be thrown away by 2030, The Guardian reported. The conundrum that manufacturers and consumers have is that although they can be recycled, there are not enough facilities to handle them. To date, there are only four lithium-ion recycling centers in the United States (via WCNC). However, this number must grow exponentially in the next few years as Industry experts predict there will be 85 million electric vehicles on the road by 2030 (via Science Direct).

Continue reading “What’s Going To Happen To The Millions Of Electric Car Batteries After Their Lifespans End?” | >

Human Longevity Inc, which was built by the pioneers of the human genome sequencing effort, and Freedom Acquisition Corporation, a publicly traded special purpose acquisition company (SPAC), have announced that they have signed a non-binding letter of intent for a proposed business combination that would result in HLI becoming a publicly listed company. Assuming everything ticks along as planned, the parties currently expect to seek approval from Freedom’s shareholders by the first quarter of 2023.

Longevity. Technology: Unicorns are the stuff of legends and headlines, and while there can be no assurance that a definitive agreement will be entered into or that the proposed transaction will be consummated, the speculation is delicious because longevity start-ups with billion-dollar valuations mean more visible, accelerating progress for the sector.

The proposed transaction values the combined company at approximately $1 billion, providing HLI with funding to pursue growth and technology innovation – watch this space!

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Patients with worsening heart failure who received colchicine, a common gout medication, had a survival rate of 97.9% compared with a 93.5% survival rate for patients who did not take colchicine.

Colchicine, a common gout medication, dramatically increased the survival rates of patients with worsening heart failure who were hospitalized, according to a recent University of Virginia (UVA) Health study. In individuals with an accumulation of cholesterol in their arteries, the researchers think colchicine might also lower the risk for heart attack and stroke.

More than 1,000 patients who were hospitalized at the University of Virginia Medical Center between March 2011 and February 2020 due to worsening heart failure had their records examined. Patients who took colchicine for a gout flare had a survival rate of 97.9%, as opposed to patients who did not receive colchicine, who had a survival rate of 93.5%.

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As cyberattacks on medical networks continue to affect healthcare institutions across the country, organizations who are directly at risk of these attacks are seeking government assistance.

From January through June, the Office of Civil Rights tallied 256 hacks and information breaches, up from 149 for the same period a year ago. It’s a continuing trend from last year: Cybersecurity outfit Sophos reports that in 2021, attacks on health systems were up 66 percent over 2020.

Now some health systems are asking the federal government to step in and provide more security for what they consider critical national infrastructure.

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An artificial nose, which is combined with machine learning and built with a 16-channel sensor array was found to be able to authenticate up to 20 individuals with an average accuracy of more than 97%.

“These techniques rely on the physical uniqueness of each individual, but they are not foolproof. Physical characteristics can be copied, or even compromised by injury,” explains Chaiyanut Jirayupat, first author of the study. “Recently, human scent has been emerging as a new class of biometric authentication, essentially using your unique chemical composition to confirm who you are.”

The team turned to see if human breath could be used after finding that the skin does not produce a high enough concentration of volatile compounds for machines to detect.

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In 2009, a computer scientist then at Princeton University named Fei-Fei Li invented a data set that would change the history of artificial intelligence. Known as ImageNet, the data set included millions of labeled images that could train sophisticated machine-learning models to recognize something in a picture. The machines surpassed human recognition abilities in 2015. Soon after, Li began looking for what she called another of the “North Stars” that would give AI a different push toward true intelligence.

She found inspiration by looking back in time over 530 million years to the Cambrian explosion, when numerous land-dwelling animal species appeared for the first time. An influential theory posits that the burst of new species was driven in part by the emergence of eyes that could see the world around them for the first time. Li realized that vision in animals never occurs by itself but instead is “deeply embedded in a holistic body that needs to move, navigate, survive, manipulate and change in the rapidly changing environment,” she said. “That’s why it was very natural for me to pivot towards a more active vision [for AI].”

Today, Li’s work focuses on AI agents that don’t simply accept static images from a data set but can move around and interact with their environments in simulations of three-dimensional virtual worlds.

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One of the godfathers of deep learning pulls together old ideas to sketch out a fresh path for AI, but raises as many questions as he answers.

Now, after months figuring out what was missing, he has a bold new vision for the next generation of AI. In a draft document shared with MIT Technology Review, LeCun sketches out an approach that he thinks will one day give machines the common sense they need to navigate the world. For LeCun, the proposals could be the first steps on a path to building machines with the ability to reason and plan like humans—what many call artificial general intelligence, or AGI. He also steps away from today’s hottest trends in machine learning, resurrecting some old ideas that have gone out of fashion.

But his vision is far from comprehensive; indeed, it may raise more questions than it answers. The biggest question mark, as LeCun points out himself, is that he does not know how to build what he describes.

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