Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog

Category: robotics/AI – Page 7

Smart amplifier cuts power consumption, paving way for more qubits and less decoherence

Quantum computers can solve extraordinarily complex problems, unlocking new possibilities in fields such as drug development, encryption, AI, and logistics. Now, researchers at Chalmers University of Technology in Sweden have developed a highly efficient amplifier that activates only when reading information from qubits. The study was published in the journal IEEE Transactions on Microwave Theory and Techniques.

Thanks to its smart design, it consumes just one-tenth of the power consumed by the best amplifiers available today. This reduces decoherence and lays the foundation for more with significantly more qubits and enhanced performance.

Bits, which are the building blocks of a conventional computer, can only ever have the value of 1 or 0. By contrast, the common building blocks of a quantum computer, quantum bits or qubits, can exist in states having the value 1 and 0 simultaneously, as well as all states in between in any combination.

New AI Model Diagnoses Brain Tumors With 99% Accuracy, Without Surgery

An MRI scan revealed a brain tumor located in a difficult area, and performing a biopsy would carry significant risks for the patient, who had initially sought medical help due to double vision. Cases like this, discussed by a multidisciplinary team of cancer specialists, led researchers at Charité – Universitätsmedizin Berlin, along with their collaborators, to search for alternative diagnostic methods.

Their solution is an AI model that analyzes specific features in the genetic material of tumors, particularly their epigenetic fingerprint, which can be obtained from sources such as cerebrospinal fluid. As reported in the journal Nature Cancer, the model classifies tumors both rapidly and with high accuracy.

“AI That Stops Wars”: Former Harvard Scientist Unveils Revolutionary Peace Technology Designed to Prevent Global Conflict Before It Starts

IN A NUTSHELL 🌍 North Star, developed by an ex-Harvard professor, is an AI tool designed to predict and prevent wars by simulating world leaders’ decisions. 🔮 The tool creates digital twins of leaders to foresee outcomes of geopolitical events, offering insights for better decision-making. 💼 Investors see peace tech as a burgeoning market, drawing

New study reveals genetic link between brain criticality and human cognition

A new study has revealed compelling evidence that brain criticality—a dynamic balance between neural excitation and inhibition—has a strong genetic foundation and is associated with cognitive performance. The research was published on June 23 in the Proceedings of the National Academy of Sciences.

Led by Prof. Liu Ning from the Institute of Biophysics of the Chinese Academy of Sciences (CAS) and Prof. Yu Shan from the Institute of Automation of CAS, the team analyzed resting-state functional MRI (rs-fMRI) data from the Human Connectome Project S1200 release. The dataset included 250 , 142 , and 437 unrelated individuals, providing a robust framework for examining the heritability of critical brain dynamics.

The results showed that brain criticality is significantly influenced by , with stronger genetic effects observed in primary sensory cortices compared to higher-order association regions. These findings suggest that the capacity of the brain to maintain near-critical dynamics—previously associated with optimal information processing and cognitive flexibility—is, to a substantial degree, inherited.

The Minds That Left Reality | Diaspora

Greg Egan’s Diaspora is one of the most ambitious and mind-bending science fiction novels ever published. It came out in 1997 and originally started as a short story called “Wang’s Carpets.” That story ended up as a chapter in the novel. Diaspora is: dense, smart, and way ahead of its time.
This is hard science fiction to the core. Egan invents entire new branches of physics. He reimagines life, consciousness, time, space — even what it means to be human. The book doesn’t ease you in. There’s a glossary, invented physics theories like Kozuch Theory, and characters that don’t even have genders. But if you stick with it, what you get isn’t just a story, it’s a look at what the future might actually become.
By the year 2,975, humanity isn’t one species anymore. It’s split into three groups: Fleshers: The biological humans, including the “statics” (unchanged baseline humans) and all sorts of heavily modified versions — underwater people, gene-hacked thinkers, even “dream apes” who gave up speech to live closer to nature. Gleisners: AIs in robotic bodies that live in space. They care about the physical world and experience time like regular humans. They’re kind of old-school — still sending ships to the stars, trying to build things in real space. Citizens: These are digital minds that live entirely in simulated worlds called polises.

👽 Please consider supporting this channel on Patreon: / ideasoficeandfire.
or PAYPAL — https://paypal.me/QuinnsIdeas?locale… 🎨 Art: Adobe Licensed. 🎵 Music: / @jamezdahlmusic 📚 Get These Books! Affiliate link* https://amzn.to/3HSixNx Quinn’s Discord: / discord FOLLOW QUINN ON TWITTER: Twitter: / ideasofice_fire I NOW HAVE A SUBREDDIT: / ideasoficeandfire Quinn’s New Graphic Novel: https://www.quinnhoward.net/theliebeh… Quinn’s Comic Books: https://www.quinnhoward.net/shop Quinn’s Website: https://www.quinnhoward.net Like me on Facebook!: / ioiaf 🎥 Mentioned Videos 🎬 Other Playlist Three-Body Playlist: • Three Body Problem H.P. Lovecraft Playlist: • LOVECRAFT Hyperion Playlist: • Hyperion Dune Playlist: • Dune Lore Explained Foundation Playlist: • Isaac Asimov Feel free to leave a comment like and subscribe! Thanks For Watching!.

🎨 Art: Adobe Licensed.
🎵 Music: / @jamezdahlmusic.

📚 Get These Books! Affiliate link*
https://amzn.to/3HSixNx.

Quinn’s Discord: / discord.
FOLLOW QUINN ON TWITTER: Twitter: / ideasofice_fire.
I NOW HAVE A SUBREDDIT: / ideasoficeandfire.
Quinn’s New Graphic Novel: https://www.quinnhoward.net/theliebeh…
Buy Quinn’s Comic Books: https://www.quinnhoward.net/shop.
Quinn’s Website: https://www.quinnhoward.net.
Like me on Facebook!: / ioiaf.

🎥 Mentioned Videos.

Continue reading “The Minds That Left Reality | Diaspora” | >

From Turing’s conception of machine intelligence to the evolution of AI in early childhood education: conceptual, empirical, and practical insights

Artificial intelligence (AI) is rapidly permeating many aspects of our everyday lives and nearly every sector of society. In education, AI innovations are increasingly recognized for their transformative potential for enhancing teaching and student learning. In this article, I focus specifically on the evolution of AI in early childhood education (ECE), serving children from birth to age 8. To shed light on this phenomenon, I synthesize pertinent literature to yield conceptual, empirical, and practical insights. I begin with a historical perspective, tracing the origins of Turing’s conception of machine intelligence and the term “AI” to the current practical applications of AI in ECE and AI use by, for, and with children. I then examine developmental appropriateness and ethical considerations surrounding AI use. Next, I identify new opportunities and challenges for early childhood teachers, offering practical recommendations for education leaders and proposing future research directions. Finally, I conclude by reimagining an AI-powered future of ECE, emphasizing the need for supportive practices, active engagement, and the cultivation of positive dispositions among all key stakeholders, who must keep pace with the evolving AI landscape by navigating new opportunities, emerging challenges, and innovative developments. Additionally, I reimagine a transformative educational landscape enriched by student-centered, innovative teaching practices that catalyze learning in an AI-child interactive environment. In this reimagined and progressive educational landscape, the children are empowered with equal opportunities and equitable resources to naturally learn about and from developmentally appropriate AI tools as well as leverage them in ethical and responsible ways to enhance their learning.

Multimodal LLMs and the human brain create object representations in similar ways, study finds

A better understanding of how the human brain represents objects that exist in nature, such as rocks, plants, animals, and so on, could have interesting implications for research in various fields, including psychology, neuroscience and computer science. Specifically, it could help shed new light on how humans interpret sensory information and complete different real-world tasks, which could also inform the development of artificial intelligence (AI) techniques that closely emulate biological and mental processes.

Multimodal large language models (LLMs), such as the latest models underpinning the functioning of the popular conversational platform ChatGPT, have been found to be highly effective computational techniques for the analysis and generation of texts in various human languages, images and even short videos.

As the texts and images generated by these models are often very convincing, to the point that they could appear to be human-created content, multimodal LLMs could be interesting experimental tools for studying the underpinnings of object representations.