Lifeboat Foundation

A research team led by Lund University in Sweden has developed an AI tool that traces back the most recent places you have been to.

Microorganisms are organisms, such as bacteria, that are invisible to the naked eye. The word microbiome is used to describe all the microorganisms in a particular environment. Establishing the geographical source of a microbiome sample has been a considerable challenge up to now.

However, in a new study, published in the research journal Genome Biology and Evolution, a research team presents the tool Microbiome Geographic Population Structure (mGPS). It is a unique instrument that uses ground-breaking AI technology to localise samples to specific bodies or water, countries and cities. The researchers discovered that many places have unique bacteria populations, so when you touch a handrail at a train station or bus stop, you pick up bacteria that can then be used to link you back to the exact place.

Continue reading “New GPS system for microorganisms could revolutionise police work” »

“I can say with certainty that brains work on completely different principles than deep learning, and these differences matter.” writes Jeff Hawkins in a new essay.

Excerpt:

Why should we care about how the brain works?

Continue reading “For truly intelligent AI, we need to mimic the brain’s sensorimotor principles” »

Summary: Researchers have discovered that the NMDA receptor (NMDAR), known for its role in learning and memory, also stabilizes brain activity by setting baseline neural network activity. This stabilization supports the brain’s adaptability amid constant environmental and physiological changes.

The study revealed that blocking NMDARs disrupted this baseline, highlighting their critical role in maintaining neural homeostasis. Findings may revolutionize treatments for conditions like depression, Alzheimer’s, and epilepsy by leveraging NMDAR’s role in brain stability.

Summary: A deep learning AI model developed by researchers significantly accelerates the detection of pathology in animal and human tissue images, surpassing human accuracy in some cases. This AI, trained on high-resolution images from past studies, quickly identifies signs of diseases like cancer that typically take hours for pathologists to detect.

By analyzing gigapixel images with advanced neural networks, the model achieves results in weeks instead of months, revolutionizing research and diagnostic processes. The tool is already aiding disease research in animals and holds transformative potential for human medical diagnostics, particularly for cancer and gene-related illnesses.

The multiverse offers no escape from our reality—which might be a very good thing.

By George Musser

As memes go, it wasn’t particularly viral. But for a couple of hours on the morning of November 6, the term “darkest timeline” trended in Google searches, and several physicists posted musings on social media about whether we were actually in it. All the probabilities expressed in opinion polls and prediction markets had collapsed into a single definite outcome, and history went from “what might be” to “that just happened.” The two sides in this hyperpolarized U.S. presidential election had agreed on practically nothing—save for their shared belief that its outcome would be a fateful choice between two diverging trajectories for our world.

AI be leveraged to improve cybersecurity and health equity #PopHealthIT

For Global Health Equity Week, HIMSS senior principal of cybersecurity and privacy Lee Kim describes some of the ways how privacy and security intersect with health access and patient engagement – and how artificial intelligence can help.

Recent estimates indicate that deadly antibiotic-resistant infections will rapidly escalate over the next quarter century. More than 1 million people died from drug-resistant infections each year from 1990 to 2021, a recent study reported, with new projections surging to nearly 2 million deaths each year by 2050.

‘Go Purple’ anytime during November 18–24 to show how we all play a role in fighting #AntimicrobialResistance. Learn how you can ‘Go Purple’ and encourage others to do the same for #USAAW24

• Use the daily themes and key messages to guide your activities during the week.
• Copy and share our sample social media messages and graphics.
• Learn more about Go Purple for USAAW and how you can participate.
• Use the hashtag #USAAW24 when sharing any USAAW related content.
• See how you can participate in CDC and other organization’s activities.
• Promote our resources to share important information about appropriate antibiotic and antifungal use, antibiotic stewardship, and antimicrobial resistance.

CDC is inviting families, friends, organizations, and communities to shine a spotlight on antimicrobial resistance by participating in Go Purple for USAAW. This nationwide effort encourages individuals to wear purple and bring purple to their social media and invites organizations, healthcare facilities, and municipalities to light up buildings and landmarks purple to bring awareness to the role everyone has in combating antimicrobial resistance.

These conditions can have symptoms similar to asthma, making it difficult to tell them apart.