It’s a good thing, then, that engineers know how to make a spaceship’s microprocessors more robust. To start, they hit them with high-energy ions from particle accelerators here on Earth. It’s a radiation-testing process that finds a chip’s weak spots, highlighting when, where, and how engineers need to make the microprocessor tougher.
NETWORKTECHNOLOGYS
Tuesday, September 29, 2015
Fortifying computer chips for space travel
It’s a good thing, then, that engineers know how to make a spaceship’s microprocessors more robust. To start, they hit them with high-energy ions from particle accelerators here on Earth. It’s a radiation-testing process that finds a chip’s weak spots, highlighting when, where, and how engineers need to make the microprocessor tougher.
Physicists catch magnetic wave that offers promise for energy-efficient computing
A team of physicists has taken pictures of a theorized but previously undetected magnetic wave, the discovery of which offers the potential to be an energy-efficient means to transfer data in consumer electronics.
The research, which appears in Physical Review Letters, was conducted by scientists at New York Univ., Stanford Univ. and the SLAC National Accelerator Laboratory.
"This is an exciting discovery because it shows that small magnetic waves—known as spin-waves—can add up to a large one in a magnet, a wave that can maintain its shape as it moves," explains Andrew Kent, a professor of physics at NYU and the study's senior author. "A specialized x-ray method that can focus on particular magnetic elements with very high spatial resolution enabled this discovery and should enable many more insights into this behavior."
The research, which appears in Physical Review Letters, was conducted by scientists at New York Univ., Stanford Univ. and the SLAC National Accelerator Laboratory.
"This is an exciting discovery because it shows that small magnetic waves—known as spin-waves—can add up to a large one in a magnet, a wave that can maintain its shape as it moves," explains Andrew Kent, a professor of physics at NYU and the study's senior author. "A specialized x-ray method that can focus on particular magnetic elements with very high spatial resolution enabled this discovery and should enable many more insights into this behavior."
A new step towards computers of the future
Future computers will require a magnetic material which can be manipulated rapidly by breaking the strong magnetic coupling. A study has been published in Nature Communications in which Swedish and German scientists demonstrate that even the strongest magnetic coupling may be broken within picoseconds. This will open up an exciting new area of research.
The element gadolinium is named after the Uppsala chemist Johan Gadolin who discovered the first rare-earth metal yttrium in the late 1700s. Gadolinium is in the same class of elements and it has unique magnetic properties which make it especially interesting for magnetic data storage. Its most useful property is that it has the greatest spin magnetic moment of any element since there are two different magnetic moments on every atom. These spin moments are coupled in parallel so strongly that no existing magnetic field on earth could break the coupling.
The element gadolinium is named after the Uppsala chemist Johan Gadolin who discovered the first rare-earth metal yttrium in the late 1700s. Gadolinium is in the same class of elements and it has unique magnetic properties which make it especially interesting for magnetic data storage. Its most useful property is that it has the greatest spin magnetic moment of any element since there are two different magnetic moments on every atom. These spin moments are coupled in parallel so strongly that no existing magnetic field on earth could break the coupling.
Computers Judge Personality Better than Humans
People leave digital footprints daily: from browsing history and online purchases to GPS locations and social media accounts.
According to the study, this allows machines to gauge human personalities without usual social-cognitive skills. In the study, the computer only needed 10 likes to beat a person’s work colleague, 70 likes to be more accurate than a person’s friend and 250 likes to beat a spouse.
Learning spoken language for technology
Every language has its own collection of phonemes, or the basic phonetic units from which spoken words are composed. Depending on how you count, English has somewhere between 35 and 45. Knowing a language’s phonemes can make it much easier for automated systems to learn to interpret speech.
In the 2015 volume of Transactions of the Association for Computational Linguistics, Massachusetts Institute of Technology (MIT) researchers describe a new machine-learning system that, like several systems before it, can learn to distinguish spoken words. But unlike its predecessors, it can also learn to distinguish lower-level phonetic units, such as syllables and phonemes.
In the 2015 volume of Transactions of the Association for Computational Linguistics, Massachusetts Institute of Technology (MIT) researchers describe a new machine-learning system that, like several systems before it, can learn to distinguish spoken words. But unlike its predecessors, it can also learn to distinguish lower-level phonetic units, such as syllables and phonemes.
Designing switchable electric and magnetic order for low-energy computing about it
Scientists at the Univ. of Liverpool have developed a new material that combines both electrical and magnetic order at room temperature, using a design approach which may enable the development of low-energy computer memory technologies.
Researchers from the university's School of Physical Sciences achieved this scientific advance by designed control of the distribution of the atoms within the solid state.
This new material has implications for information storage and processing applications.
Information can be stored in computers in two distinct ways—one relies on the order of atomic-scale magnets in a solid material, the other of atomic-scale electrical charges.
Researchers from the university's School of Physical Sciences achieved this scientific advance by designed control of the distribution of the atoms within the solid state.
This new material has implications for information storage and processing applications.
Information can be stored in computers in two distinct ways—one relies on the order of atomic-scale magnets in a solid material, the other of atomic-scale electrical charges.
Machine Learning Aids Digital Business
Until recently, only large corporations and firms with large client bases have used the insights from big data analysis as a strategic tool. However, it’s now more attainable for small- to medium-sized business. In addition, Cloud computing has revolutionized the way data is stored—critical files and data can be accessed from a centralized database through any Internet-enabled device.
“These emerging technology trends allow digital businesses to easily improve their products and services where they never find themselves without the data functionality or communication they need,” says Sanjay Parthasarathy, COE of Indix in an interview with R&D Magazine.
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