Equipped with cutting-edge techniques to track the activity of tens of thousands of genes in a single experiment, biologists now face a new challenge - determining how to analyze this tidal wave of data. Stanford Associate Professor of Computer Science Daphne Koller and her colleagues have come to the rescue with a strategic approach that reduces the trial-and-error aspect of genetic sequence analysis.
What were developing is a suite of computational tools that take reams of data and automatically extract a picture of whats happening in the cell, says Koller. It tells you where to look for good biology.
Koller presented her statistical approach for mining genomic data at a Feb. 14 symposium - Machine Learning in the Sciences - at the annual meeting of the American Association for the Advancement of Science (AAAS) in Seattle.
Accelerating quantum technologies with materials processing at the atomic scale
15.05.2019 | University of Oxford
A step towards probabilistic computing
15.05.2019 | University of Konstanz
A new assessment of NASA's record of global temperatures revealed that the agency's estimate of Earth's long-term temperature rise in recent decades is accurate to within less than a tenth of a degree Fahrenheit, providing confidence that past and future research is correctly capturing rising surface temperatures.
The most complete assessment ever of statistical uncertainty within the GISS Surface Temperature Analysis (GISTEMP) data product shows that the annual values...
Physicists at the University of Basel are able to show for the first time how a single electron looks in an artificial atom. A newly developed method enables them to show the probability of an electron being present in a space. This allows improved control of electron spins, which could serve as the smallest information unit in a future quantum computer. The experiments were published in Physical Review Letters and the related theory in Physical Review B.
The spin of an electron is a promising candidate for use as the smallest information unit (qubit) of a quantum computer. Controlling and switching this spin or...
Engineers at the University of Tokyo continually pioneer new ways to improve battery technology. Professor Atsuo Yamada and his team recently developed a...
With a quantum coprocessor in the cloud, physicists from Innsbruck, Austria, open the door to the simulation of previously unsolvable problems in chemistry, materials research or high-energy physics. The research groups led by Rainer Blatt and Peter Zoller report in the journal Nature how they simulated particle physics phenomena on 20 quantum bits and how the quantum simulator self-verified the result for the first time.
Many scientists are currently working on investigating how quantum advantage can be exploited on hardware already available today. Three years ago, physicists...
'Quantum technologies' utilise the unique phenomena of quantum superposition and entanglement to encode and process information, with potentially profound benefits to a wide range of information technologies from communications to sensing and computing.
However a major challenge in developing these technologies is that the quantum phenomena are very fragile, and only a handful of physical systems have been...
29.04.2019 | Event News
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24.05.2019 | Physics and Astronomy
24.05.2019 | Medical Engineering
24.05.2019 | Life Sciences