Lifeboat Foundation

Another spin on AI in how it eradicates poverty; hmmm.

Eradicating extreme poverty, measured as people living on less than $1.25 US a day, by 2030 is among the sustainable development goals adopted by United Nations member states last year.

A team of computer scientists and satellite experts created a self-updating world map to locate poverty, said Marshall Burke, assistant professor in Stanford’s Department of Earth System Science.

Continue reading “Artificial Intelligence could help eradicate global poverty” »

Researchers at Queen’s University Belfast and ETH Zurich, Switzerland, have created a new theoretical framework which could help physicists and device engineers design better optoelectronics, leading to less heat generation and power consumption in electronic devices which source, detect, and control light.

Speaking about the research, which enables scientists and engineers to quantify how transparent a 2D material is to an electrostatic field, Dr Elton Santos from the Atomistic Simulation Research Centre at Queen’s, said: “In our paper we have developed a theoretical framework that predicts and quantifies the degree of ‘transparency’ up to the limit of one-atom-thick, 2D materials, to an electrostatic field.

“Imagine we can change the transparency of a material just using an electric bias, e.g. get darker or brighter at will. What kind of implications would this have, for instance, in mobile phone technologies? This was the first question we asked ourselves. We realised that this would allow the microscopic control over the distribution of charged carriers in a bulk semiconductor (e.g. traditional Si microchips) in a nonlinear manner. This will help physicists and device engineers to design better quantum capacitors, an array of subatomic power storage components capable to keep high energy densities, for instance, in batteries, and vertical transistors, leading to next-generation optoelectronics with lower power consumption and dissipation of heat (cold devices), and better performance. In other words, smarter smart phones.”

How will we interact with the intelligent machines of the future? If you’re asking Bryan Johnson, founder of startup Kernel, he’ll tell you those machines should be implanted inside our brains.

His team is working with top neuroscientists to build a tiny brain chip—also known as a neuroprosthetic —to help people with disease-related brain damage. In the long term, though, Johnson sees the product applicable to anyone who wants a bit of a brain boost.

Yes, some might flag this technology as yet another invention leading us toward a future where technology just helps the privileged get further in life.

Continue reading “The Tiny Brain Chip That May Supercharge Your Mind” »

You might have heard the news: Our world could be a clever computer simulation that creates the impression of living in a real world. Elon Musk brought up this topic a few weeks ago. Truth be told — he is probably right. However, there is a very important point missing in this whole “real vs. fake” discussion: It actually makes no difference. But first…why might our world be a simulation?

Musk is nowhere near the first one to suggest our world might be fake. The idea reaches back to the ancient Greeks, though what we call a computer simulation, the ancient Greeks called a dream.

Continue reading “We Might Live in a Virtual Universe — But It Doesn’t Really Matter” »

When you never need to say a word because your AI reads your mind. Who knows; maybe we’ll end up with a new population of introverts and anti-socialists for researchers to study.

Scientists at the University of Rochester have developed a computer model that can predict sentences by looking for brain activity patterns that are associated with different words.

Interesting research paper on motor cortex-based brain-computer interface (BCI) research conducted by researchers from UW. Sharing with fellow partners and researchers trying to advance BMI as well as those researching and/ or re-creating brain/ neuro patterns in systems.

The neurons in the human brain are densely interlaced, sharing upwards of 100 trillion physical connections. It is widely theorized that this tremendous connectivity is one of the facets of our nervous system that enables human intelligence. In this study, over the course of a week, human subjects learned to use electrical activity recorded directly from the surface of their brain to control a computer cursor. This provided us an opportunity to investigate patterns of interactivity that occur in the brain during the development of a new skill. We demonstrated two fundamentally different forms of interactions, one spanning only neighboring populations of neurons and the other covering much longer distances across the brain. The short-distance interaction type was notably stronger during early phases of learning, lessening with time, whereas the other was not. These findings point to evidence of multiple different forms of task-relevant communication taking place between regions in the human brain, and serve as a building block in our efforts to better understand human intelligence.

Citation: Wander JD, Sarma D, Johnson LA, Fetz EE, Rao RPN, Ojemann JG, et al. (2016) Cortico-Cortical Interactions during Acquisition and Use of a Neuroprosthetic Skill. PLoS Comput Biol 12: e1004931. doi:10.1371/journal.pcbi.1004931

Continue reading “Cortico-Cortical Interactions during Acquisition and Use of a Neuroprosthetic Skill” »

Luv this.

Smart devices implanted in the body have thus far not been able to communicate via Wi-Fi due to the power requirements of such communications. Surgery is required when the battery in a brain stimulator or a pacemaker needs to be replaced. Not only is this expensive, but any surgery has inherent risks and could lead to complications. It is therefore critically important that the battery life in implanted medical devices be preserved for as long as possible.

Continue reading “For the First Time Ever a New Way of Communication Enables ‘Talking’ Between Body Implants and Smartphones” »

Another great example where scientists are bridging bio and technology together.

Fluorescent proteins from jellyfish that were grown in bacteria have been used to create a laser for the first time, according to a new study.

The breakthrough represents a major advance in so-called polariton lasers, the researchers said. These lasers have the potential to be far more efficient and compact than conventional ones and could open up research avenues in quantum physics and optical computing, the researchers said.

Continue reading “New Laser Created from Jellyfish’s Fluorescent Proteins” »

Quantum computing 101 — lesson 1: quantum models

Before reviewing in more detail the most promising experimental realisations of quantum information processors, I think it is useful to recap the basic concepts and most used models of quantum computing. In particular, the models, as the physical realisations mentioned in a previous post use different but equivalent computational models, which need to be understood to comprehend their implementations.