May 17, 2006
Frankencotton
Genetically modified foods have caused no end of anxiety and distrust. But not genetically modified shirts. Why?
Readers may imagine the reason is that there is no such thing as a genetically modified shirt, and they would be half right. The shirt genome has yet to be mapped, and the heritability of sleeve length is not widely accepted in either the textile or molecular biology community.
Posted by Vishwakarma C. K. @ 06:55 PM | Comments (0) | TrackBack
Home >> Genetic AlgorithmsJune 04, 2005
Next-Generation Memory Chip
A team of international scientists has made a gigantic stride forward to develop next-generation memory chips, which are more progressed compared to the current best 60-nanometer products.
The team, participated by Korea Advanced Institute of Science and Technology professor Kim Sang-ouk, said yesterday that they established a pattern helpful in building the futuristic memory chips.
Posted by Vishwakarma C. K. @ 01:05 PM | Comments (0) | TrackBack
Home >> Genetic AlgorithmsMay 23, 2005
Smart Scopes Make Sense of Cellular Structures
At the Gladstone Institute of Neurological Disease and the University of California, San Francisco (UCSF), Steven Finkbeiner, MD, PhD, was trying to find an answer to a longstanding question in Huntington's disease research: what do the inclusion bodies (IB) of mutated Huntington protein that form in neuronal cells of people with the disease signify? There was uncertainty whether IBs are part of the process of degeneration, or are actually part of the brain's "solution" to staving off that degeneration.
Posted by Vishwakarma C. K. @ 04:06 PM | Comments (0) | TrackBack
Home >> Genetic AlgorithmsMay 15, 2005
Genetic Algorithms & Real-World Applications
Since the emergence of modern computers in the 1940s and 1950s, the ideas of artificial life forms and artificial intelligence have captured the imagination of many computer scientists. Many fields of study have arisen in the pursuit of these ideas. One of these fields, as found in the areas of computer science and engineering, is termed "evolutionary computation," the use of self-evolving strategies in problem solving. And one tool used in evolutionary computation is the genetic algorithm (GA).
Posted by Vishwakarma C. K. @ 02:45 PM | Comments (0) | TrackBack
Home >> Genetic AlgorithmsMay 07, 2005
Animals that are part-human
On a farm about six miles outside this gambling town, Jason Chamberlain looks over a flock of about 50 smelly sheep, many of them possessing partially human livers, hearts, brains and other organs.
The University of Nevada-Reno researcher talks matter-of-factly about his plans to euthanize one of the pregnant sheep in a nearby lab. He can’t wait to examine the effects of the human cells he had injected into the fetus’ brain about two months ago.
Read Also: The New Ethics Guidelines
Posted by Vishwakarma C. K. @ 06:38 AM | Comments (0) | TrackBack
Home >> Genetic AlgorithmsMay 02, 2005
The Genographic Project
The National Geographic Society, IBM, geneticist Spencer Wells, and the Waitt Family Foundation have launched the Genographic Project, a five-year effort to understand the human journey—where we came from and how we got to where we live today. This unprecedented effort will map humanity's genetic journey through the ages.
The fossil record fixes human origins in Africa, but little is known about the great journey that took Homo sapiens to the far reaches of the Earth. How did we, each of us, end up where we are? Why do we appear in such a wide array of different colors and features?
Such questions are even more amazing in light of genetic evidence that we are all related—descended from a common African ancestor who lived only 60,000 years ago
Read more about The Genographic Project @ The National Geographic
Posted by Vishwakarma C. K. @ 10:20 AM | Comments (0) | TrackBack
Home >> Genetic AlgorithmsFebruary 10, 2005
Genetic Barcodes Will Identify World's Species
A team of international scientists launched an ambitious project on Thursday to genetically identify, or provide a barcode for, every plant and animal species on the planet.
By taking a snippet of DNA from all the known species on Earth and linking them to photographs, descriptions and scientific information, the researchers plan to build the largest database of its kind.
Posted by Vishwakarma C. K. @ 06:13 PM | Comments (0) | TrackBack
Home >> Genetic AlgorithmsJanuary 09, 2005
Tuning The Kernel With A Genetic Algorithm
Genetic algorithms as used in machine learning are modeled after the process of evolution as observed in nature, and are a field within the science of artificial intelligence. The idea is to generate a "population" defined with unique strings of "chromosomes", to test each of these chromosome strings for "fitness", to select a subset of the chromosome strings with the best fitness and use them to create new chromosomes, to apply random mutation to a small subset, and finally to start the process all over again. Over time, all the chromosomes should "evolve" toward having the best possible fitness, as defined by the algorithm.
Posted by Vishwakarma C. K. @ 12:25 PM | Comments (0) | TrackBack
Home >> Genetic AlgorithmsSeptember 15, 2004
UCLA Molecular Biologists Uproot the Tree of Life
One of science's most popular metaphors — the "tree of life," with its evolutionary branches and roots, showing groups of bacteria on the bottom and multicellular animals on the higher branches — turns out to be a misnomer, UCLA molecular biologists report in the Sept. 9 issue of the journal Nature.
"It's not a tree; it's actually a ring of life," said James A. Lake, UCLA professsor of molecular biology. "A ring explains the data far better." Lake initially titled the Nature article, "One Ring to Rule Them All."
The ring of life has significant implications for eukaryotes (cells with nuclei), the group that includes all multicellular forms of life, such as humans, animals and plants.
Posted by Vishwakarma C. K. @ 06:45 PM | Comments (0) | TrackBack
Home >> Genetic AlgorithmsAugust 29, 2004
Software mimics insect swarms
scientists are using the collective intelligence found in insect swarms to develop the next generation of hi-tech military hardware.
Alex Ryan, a mathematician with the government's Defence Science and Technology Organisation, heads a team that is working on computer software recreating swarm behaviour for use on the battlefield.
The goal is to develop swarms of small, expendable unmanned vehicles that can carry out missions in ground, sea and aerial environments too dangerous for humans
Posted by Vishwakarma C. K. @ 01:22 AM | Comments (0) | TrackBack
Or send email to ask me, what are you looking for?:
![](http://www.karmachakra.com/aiknowledge/images/spampoison.gif")
