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Archive for the ‘computing’ category: Page 635

Apr 1, 2019

EHF Fellow: Nathan Doctor

Posted by in categories: biotech/medical, business, computing, education

Outcome-based education. This is about a man who is involved in a system designed to train and assess the skills of computer programmers, but I wonder if the ideas could be applied to other types of learning.

For that matter, it strikes me that merit badges in the Boy Scouts may work along similar lines.


Nathan chose all-in, investing his entire life savings in a single stock-market exchange, and made enough money to keep the business alive. The past several years have been full of similar tests of commitment but Nathan and his business partner have weathered them all, building a groundbreaking company called Qualified.

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Apr 1, 2019

IBM reduces noise in quantum computing, increasing accuracy of calculations

Posted by in categories: computing, quantum physics

IBM researchers found a method to reduce noise in quantum computing by amplifying noise at measurable intervals, and extrapolating a difference to calculate a “zero-noise” result.

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Mar 30, 2019

Extreme, Hydrogen-Crushing Physicists Are Pushing Us into a ‘New Era of Superconductivity’

Posted by in categories: computing, quantum physics

Lanthanum, diamond crushers and advanced computer models are changing the hunt for this extreme quantum mechanical effect.

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Mar 30, 2019

Meet history’s most brilliant female coders

Posted by in category: computing

From a gifted 19th-century countess to a maverick naval officer, these women blazed a trail for computer programmers today.

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Mar 28, 2019

Chip combining CRISPR and graphene can detect genetic mutations in minutes

Posted by in categories: biotech/medical, computing, genetics

The marriage of these two technologies can only mean something great is in store.

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Mar 27, 2019

Graphene-based brain implant reveals secrets inside the brain

Posted by in categories: computing, nanotechnology, neuroscience

A new graphene-based brain implant could help provide information about the onset and progression of epileptic seizures and pave the way for next generation brain-computer interfaces.

The new implant, which records electrical activity in the brain over large areas and at frequencies below 0.1Hz, is said to overcome the limitations of electrode arrays that have only been able to detect activity over a certain frequency threshold.

The technology was developed by Graphene Flagship partners at the Barcelona Microelectronics Institute (IMB-CNM, CSIC), the Catalan Institute of Nanoscience and Nanotechnology (ICN2), and ICFO.

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Mar 26, 2019

Hacking The Brain: The Future Computer Chips In Your Head

Posted by in categories: computing, Elon Musk, mobile phones, neuroscience

Over the past twenty years, neuroscientists have been quietly building a revolutionary technology called BrainGate that wirelessly connects the human mind to computers and it just hit the world stage. Entrepreneurs such as Elon Musk and Mark Zuckerberg have entered the race with goals of figuring out how to get computer chips into everyone’s brains. The attention of Musk and Zuckerberg means the potential for giant leaps forward. But the question no one seems to be asking is whether our dependence on machines and technology has finally gone too far. Countries annually celebrate their independence from other countries, but it now seems we should start asking deeper questions about our personal independence.

60 Minutes recently ran a piece showing how engineers are using what scientists have learned about the brain to manipulate us into staying perpetually addicted to our smartphones. The anxiety most of us feel when we are away from our phone is real: During the 60 Minutes piece, researchers at California State University Dominguez Hills connected electrodes to reporter Anderson Cooper’s fingers to measure changes in heart rate and perspiration. Then they sent text messages to his phone, which was out of his reach, and watched his anxiety spike with each notification.

The segment revealed that virtually every app on your phone is calibrated to keep you using it as often and as long as possible. The show made an important point: a relatively small number of Silicon Valley engineers are experimenting with, and changing in a significant way, human behavior and brain function. And they’re doing it with little insight into the long-term consequences. It seems the fight for independence has gone digital.

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Mar 26, 2019

This ‘mind-reading’ algorithm can decode the pictures in your head

Posted by in categories: computing, information science, neuroscience

New computer program uses brain activity to draw images of airplanes, leopards, and stained-glass windows.

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Mar 25, 2019

Extremely accurate measurements of atom states for quantum computing

Posted by in categories: computing, particle physics, quantum physics

A new method allows the quantum state of atomic “qubits”—the basic unit of information in quantum computers—to be measured with twenty times less error than was previously possible, without losing any atoms. Accurately measuring qubit states, which are analogous to the one or zero states of bits in traditional computing, is a vital step in the development of quantum computers. A paper describing the method by researchers at Penn State appears March 25, 2019 in the journal Nature Physics.

“We are working to develop a quantum computer that uses a three-dimensional array of laser-cooled and trapped as qubits,” said David Weiss, professor of physics at Penn State and the leader of the research team. “Because of how works, the atomic qubits can exist in a ‘superposition’ of two states, which means they can be, in a sense, in both states simultaneously. To read out the result of a quantum computation, it is necessary to perform a measurement on each atom. Each measurement finds each atom in only one of its two possible states. The relative probability of the two results depends on the superposition state before the measurement.”

To measure qubit states, the team first uses lasers to cool and trap about 160 atoms in a three-dimensional lattice with X, Y, and Z axes. Initially, the lasers trap all of the atoms identically, regardless of their quantum state. The researchers then rotate the polarization of one of the laser beams that creates the X lattice, which spatially shifts atoms in one qubit state to the left and atoms in the other qubit state to the right. If an atom starts in a superposition of the two qubit states, it ends up in a superposition of having moved to the left and having moved to the right. They then switch to an X lattice with a smaller lattice spacing, which tightly traps the atoms in their new superposition of shifted positions. When light is then scattered from each atom to observe where it is, each atom is either found shifted left or shifted right, with a probability that depends on its initial state.

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Mar 23, 2019

In a new quantum simulator, light behaves like a magnet

Posted by in categories: computing, particle physics, quantum physics

Physicists at EPFL propose a new “quantum simulator”: a laser-based device that can be used to study a wide range of quantum systems. Studying it, the researchers have found that photons can behave like magnetic dipoles at temperatures close to absolute zero, following the laws of quantum mechanics. The simple simulator can be used to better understand the properties of complex materials under such extreme conditions.

When subject to the laws of quantum mechanics, systems made of many interacting particles can display behaviour so complex that its quantitative description defies the capabilities of the most powerful computers in the world. In 1981, the visionary physicist Richard Feynman argued we can simulate such complex behavior using an artificial apparatus governed by the very same quantum laws – what has come to be known as a “.”

One example of a complex quantum system is that of magnets placed at really low temperatures. Close to absolute zero (−273.15 degrees Celsius), may undergo what is known as a “quantum phase transition.” Like a conventional phase transition (e.g. ice melting into water, or water evaporating into steam), the system still switches between two states, except that close to the transition point the system manifests quantum entanglement – the most profound feature predicted by . Studying this phenomenon in real materials is an astoundingly challenging task for .

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