Lifeboat Foundation

Fortunately, linguists have developed sophisticated tools using information theory to interpret unknown languages.

Just as archaeologists piece together ancient languages from fragments, we use patterns in AI conversations to understand their linguistic structure. Sometimes we find surprising similarities to human languages, and other times we discover entirely novel ways of communication.

These tools help us peek into the “black box” of AI communication, revealing how AI agents develop their own unique ways of sharing information.

All lawyers, from in-house counsel and law firms, to barristers and judges, need to embrace the use of generative artificial intelligence (AI). Why? Because it will become an indispensable productivity tool across the legal profession.

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.

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.

👉 Learn more about Alpha Modus: https://ir.alphamodus.com/

Did you know that we’ve already seen signs of sentient AI? That’s right, for the first time in history, we are watching as Artificial Intelligence becomes self-aware. It’s only a matter of time until AI develops emotions and thoughts of their own, just like us humans. You’d better start saying please and thank you to ChatGPT because you do not want to get on their bad side. How would the AI Takeover start? Are we already in danger? Is this the end of humanity as we know it?

Continue reading “What If AI Never Stopped Evolving?” »

WASHINGTON — Northrop Grumman’s SpaceLogistics subsidiary is eyeing a 2026 launch for its next-generation satellite servicing vehicle, the Mission Robotic Vehicle (MRV). Equipped with robotic arms developed by the U.S. Naval Research Laboratory (NRL), the MRV aims to extend the lifespan of satellites in geostationary orbit more than 22,500 miles above Earth.

NRL announced Nov. 14 that the pair of robotic arms completed crucial thermal vacuum testing and are now at Northrop’s satellite integration facility in Dulles, Virginia. The arms were developed under a Defense Advanced Research Projects Agency (DARPA) contract.

“This robotic payload promises to transform satellite operations in geostationary orbit, reduce costs for satellite operators, and enable capabilities well beyond what we have today,” said NRL’s director of research Bruce Danly.