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Category: computing – Page 786

The new BMI stentrode came from the research on sheep; nice to know for the next Trivia night at the local pub.

A group of Australian and American researchers have used sheep to develop and test a new device (original paper) – the stentrode – for recording electrical signals from inside the brain. The research was published in Nature Biotechnology. This new technology removes one of the main obstacles to developing efficient brain-computer interfaces: the need for invasive surgery.

The “stentrode” is a group of small (750 µm) recording electrodes attached to an intracranial endovascular stent, which allows implantation of the electrodes inside the brain without invasive surgery. This allows high quality recording or stimulation of specific areas of the brain, without many of the risks associated with invasive brain surgery.

Continue reading “Research using sheep leads to a new device to record and stimulate the brain” | >

When the Holiday season kicks off next fall (2017); I have a feeling that I may end up buying a Penny Robot or a BMI controlled drone for my niece & nephews.

The post is also available in: Hebrew :הכתבה זמינה גם ב

A new research out of Arizona State University with DARPA funding.

Using a skullcap fitted with 128 electrodes wired to a computer, researchers are able to control multiple drones using human thought and vision to guide the quadcopters wirelessly. The device records electrical brain activity and measures the movement of the drones based on parts of the brain that light up. This signal is monitored and sent to another computer that transmits a signal to the drones, making them move. Panagiotis Artemiadis, director of the Human-Oriented Robotics and Control Lab and an assistant professor of mechanical and aerospace engineering at the School for Engineering of Matter, Transport and Energy in the Ira A. Fulton Schools of Engineering, has been working with funding from the Defense Advanced Research Projects Agency (DARPA) and U.S. Air Force to develop this technology. Artemiadis has been working on brain-to-machine interfaces since 2009, but only recently made the leap to controlling more than one device.

Continue reading “Farewell Remote Controllers, Hello Brain Controlled UAV’s” | >

Excellent progress.

The rapid progress that has been sweeping the field of crystal growth and related device technology is opening doors. Perhaps nowhere is the effect of this evolution being felt more than in the development of ultra-small structures whose material properties can be controlled on the nanoscale. The reason for this development: because solid-state nano–structures possess unique optical and electronic properties, they have the potential to be the launching pad of a new generation of devices.

Within the field, researchers are particularly focused on the properties of spins confined within the nano-structures – with the ultimate goal being to use spin nano-systems to develop, for example, robust quantum bits (qubits) capable of storing vast amounts of information. Here, the EU -funded S^3NANO project has successfully developed qubits in a new, innovative form. According to project researchers, these qubits could serve as the information units of the quantum computers of the future.

S^3NANO, which has recently published its full key findings, was a collaborative effort of studies and researchers. It brought together existing studies on the development of new device concepts in the field of few spin solid-state nano-systems with a team of leading international researchers and institutions. Over the course of four years, this ‘few spin solid state nano-system network’ achieved numerous breakthroughs in the understanding and successful utilisation of nanoscale systems in future devices via research, exchange programmes and training sessions.

Continue reading “Spin Nano-Systems Result in New Type of Quantum Bits” | >

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.

It uses a computer algorithm that recognizes signs of poverty through a process called machine learning, a type of artificial intelligence, he said. Results of the two-year research effort have been published in the journal 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.”

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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.

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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.

The first thing to realize is this: Our perception of reality is already separate from reality itself.

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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.

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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

Editor: Olaf Sporns, Indiana University, UNITED STATES

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.

Other constraints limiting how much power a device can use include their location in the body and their size. New emerging devices that could one day reanimate limbs, stimulate organs, or brain implants that treat Parkinson’s disease are limited by the same factors.

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