Quantum computing: Rise of machines Nov 7, 2009
Embedded systems (think computers around the home), machine learning (think of computers that can more readily understand you and act like you) and computational thinking (applying the ideas of computer science to other fields of science) were some of the key areas listed by Dave Bacon of the University of Washington for TOI-Crest. Could we end up building machines as intelligent as our brains. (India Times, India -- Health/Science)
Electrical engineers go head to head with Genius on music playlists Oct 28, 2009
In contrast to Genius, which uses information about the songs people buy and listen to in iTunes in order to learn which songs in any iTunes library are related, the UCSD music recommender relies on auto-tagging algorithms that use machine learning to label songs with descriptive words based only on the acoustic content of the songs. "Our computer system works by listening to the music it doesn't know anything about artists or albums or charts. In some trials of our survey, we tried to remove... (EurekAlert!)
Information Industry Veteran Don McLagan Joins The Echo Nest Board of Directors Oct 23, 2009
The Echo Nest helps online music companies make connections between people and their music more meaningful through a one-of-a-kind machine learning platform that actually reads about music and listens to music everywhere on the web. The company is co-founded by two MIT Media Lab PhDs, Brian Whitman and Tristan Jehan. (Yahoo! Wire -- Entertainment News)
MGH and NEC Start On-Site Evaluation of NEC Cancer Diagnosis Assistance System e-Pathologist at MGH Oct 22, 2009
NEC has been developing the e-Pathologist Cancer Diagnosis Assistance System since 2003 by adapting its advanced image analysis, recognition and machine learning technologies which were developed in NEC's Central Research Laboratory and its North American laboratory (NEC Laboratories America). In October 2008, MGH and NEC entered into a collaboration to adapt modules of e-Pathologist to meet clinical needs in the pathological diagnosis of breast and prostate cancers. (JCN Network, Japan)
Enhancing navigation in biomedical databases by community voting and database-driven text classification Oct 3, 2009
Using a previously developed peptide database as an example, we compared several machine learning algorithms in their ability to classify abstracts of published literature results into categories relevant to peptide research, such as related or not related to cancer, angiogenesis, molecular imaging, etc. Ensembles of bagged decision trees met the requirements of our application best. (BioMed Central)
Innovative Crop of Companies Plus Several New Programs and Awards Round Out DEMOfall 09 Sep 24, 2009
Burt AB's Rich - an ad campaign analytics tool targeted to creative agencies that enables agencies to estimate the amount of attention consumers pay to an ad by using predictive modeling and machine learning. ePulze - a search engine that automatically monitors and analyzes the opinion, perception and sentiment expressed in the news, comments and reviews for various subjects and topics. (PR Newswire)
Netflix Awards $1M Prize To Fix Movie Picks Sep 22, 2009
Under the rules of the contest, the winning entry will be published at the University of California, Irvine's Machine Learning Repository, and Netflix will be able to use BellKor's work without paying royalties. The team is free to license it to other companies, too. (Click2Houston, TX)
How Do You Analyse A Criminal? Sep 12, 2009
Vanderlooy's research falls within the research discipline of Machine learning, an aspect of artificial intelligence that provides effective and efficient models for the analysis of data. This project was part of the NWO programme ToKeN (Access To Knowledge and its enhancement Netherlands), which focuses on fundamental problems in the interaction between a human user and knowledge and information systems. (Science Daily)
Flash! Movie tips from your robot overlords Sep 9, 2009
Until this century, machine learning was a field that excited mostly academics and sci-fi authors. But today s recommender systems aren t on the theoretical fringe they re part of a lucrative industry. (Atlanta Journal-Constitution -- Opinion)
Evil Ink: A Robot Impersonator Opens a Blog to Post Spam From the Future Sep 8, 2009
"The main technique today to identify these blogs is machine learning, an artificial intelligence technique," Finin explains. "The trick is to identify the fingerprints of these robot blogs what words they use, their patterns of updating, the ads they host.". (Scientific American)
The ordering of expression among a few genes can provide simple cancer biomarkers and signal BRCA1 mutations Aug 21, 2009
However, an important obstacle to both biological understanding and clinical applications is the "black box" nature of the decision rules provided by most machine learning approaches, which usually involve many genes combined in a highly complex fashion. Achieving biologically relevant results argues for a different strategy. (BioMed Central)
'Rich interaction' may make computers a partner, not a product Aug 20, 2009
The idea behind this "meaningful" interaction is one of the latest advances in machine learning and artificial intelligence, in which a computer doesn't just try to learn from its own experiences, it listens to the user, tries to combine what it "hears" with its internal reasoning, and changes its program as a result ... "For machine learning to reach its potential the computer and the user have to interact with each other in a fairly meaningful way, the computer really needs to get to know your... (EurekAlert!)
Long-range regulation is a major driving force in maintaining genome integrity Aug 15, 2009
We describe a machine learning method to distinguish genomic regions where breakpoints would be expected to have deleterious effects (called breakpoint-refractory regions) from those where they are expected to be neutral (called breakpoint-susceptible regions). Our predictor is trained using breakpoints that took place along the human lineage since amniote divergence. (BioMed Central)
Innovative Method To Detect Genetic Causes Of Complex Diseases Identified Aug 10, 2009
"We know that some of the most common and most serious diseases that plague humans are caused not by a single genetic mutation, but by a combination of many genetic and environmental factors," said Xing, an associate professor of machine learning, language technologies and computer science. "Complicating the situation is that most complex diseases have a large number of clinical traits such as various symptoms, body metrics and family history, and that genome-wide gene expression profiling can... (Science Daily)
'Brain-reading' Methods Developed Jul 28, 2009
Using machine learning techniques (a support vector machine), capable of analyzing and categorizing large amounts of data, the researchers were able to identify those slight differences that allowed them to predict the specific mental function of the participants and what information they would report back. It s like looking at two patterns of identical flower arrangements, says Hanson. (Science Daily)
3D Pioneers Unveil New Company - Mixamo Jul 28, 2009
The mastermind behind Mixamo's advanced technology; Stefano Corazza applied his experience from the University of Padua Human Movement Lab and the Stanford BioMotion Lab to develop the effective mathematical and machine learning solutions that support Mixamo. Prior to Mixamo, Stefano was a research associate at Stanford University BioMotion Lab until 2008 developing markerless motion capture technology, CTO and co-founder of dublit. (Yahoo! Wire -- Entertainment News)
New Science Of Learning Offers Preview Of Tomorrow's Classroom Jul 27, 2009
In the July 17, 2009 issue of the journal Science, researchers who are at the forefront of neuroscience, psychology, education, and machine learning have synthesized a new science of learning that is already reshaping how we think about learning and creating opportunities to re-imagine the classroom for the 21st century ... Among the key insights that the authors highlight are three principles to guide the study of human learning across a range of areas and ages: learning is computational... (Science Daily)
Can Brain Scans Read Your Mind? In Some Cases, The Answer Is 'Yes' Jul 24, 2009
The tools used in this research come from a scientific field known as machine learning, which is related to statistics and computer science, said Poldrack, who noted that this technology is heavily employed by companies like Amazon to predict what people will buy based on their previous purchases. Nearly 10 years ago, neuroscientists showed that if they take brain images with fMRI while people look at different objects, such as faces, houses and chairs, they can use the tools of machine learning... (Science Daily)
Korean Government and Georgia Tech Form Partnership Jul 18, 2009
An enabling technology for personalized, interactive media convergence, the platform will consist of a custom-designed massively parallel architecture with a hybrid GPU accelerated many-core and heterogeneous multicore fusion system for new machine learning and multimedia algorithms and techniques. To balance resources and computationally demanding applications for high performance, Kim and his team are developing new mechanisms -- dynamically decomposed computing and hardware-based load... (PR Newswire)
Learning Is Both Social And Computational Jul 17, 2009
ScienceDaily (July 16, 2009) Education is on the cusp of a transformation because of recent scientific findings in neuroscience, psychology, and machine learning that are converging to create foundations for a new science of learning ... Research has shown that humans learn best from other humans, and a large part of this is timing, sensitive timing between a parent or a tutor and the child," said Meltzoff, who is a developmental psychologist. "We are trying to understand how the child's brain... (Science Daily)
Robot Learns To Smile And Frown Jul 9, 2009
The UC San Diego researchers used machine learning to empower their robot to learn to make realistic facial expressions ... As far as we know, no other research group has used machine learning to teach a robot to make realistic facial expressions, said Tingfan Wu, the computer science Ph ... In order to begin to automate this process, the UCSD researchers looked to both developmental psychology and machine learning. (Science Daily)
Netflix Contest: Another Crowd Pleaser Jul 8, 2009
Pragmatic Chaos has seven members: Chris Volinksy and Bob Bell from AT&T's statistics research group in New Jersey; machine learning experts Andreas Toscher and Michael Jahrer from Commendo Research & Consulting in Austria; software engineers Martin Piotte and Martin Chabbert from Pragmatic Theory in Montreal; and Yehuda Koren from Yahoo. Research () in Israel. (BusinessWeek)
Mystery Of Bat With Extraordinary Nose Solved Jul 8, 2009
The study represents a collaboration between machine learning scientists and. . (Science Daily)
Readers pay tribute to Michael Jackson Jun 29, 2009
Search Type Choose a search type from the items below. Blog of the #1 News Site. (Yahoo News -- Politics)
ResBoost: characterizing and predicting catalytic residues in enzymes Jun 28, 2009
ResBoost builds on two methods from machine learning, the AdaBoost algorithm and Alternating Decision Trees, and provides precise control over the inherent trade-off between sensitivity and specificity. We evaluated ResBoost using cross-validation on a dataset of 100 enzymes from the hand-curated Catalytic Site Atlas (CSA). (BioMed Central)
» Readers pay tribute Jun 27, 2009
Readers pay tribute to Michael Jackson - Yahoo. Search Type Choose a search type from the items below. (Yahoo News)
Algorithm Charts Evolution Of Genetic Networks During Fruit Fly Life Cycle Jun 25, 2009
The new algorithm, called Tesla, incorporates machine learning techniques that now enable researchers to figure out how the rewiring of those networks takes place as the insect develops. "Many problems in biological, social and engineering systems require us to understand the interconnections between genes, people or other entities, but directly observing the evolution of these interconnections has often been impossible because of experimental or computational limitations," said Eric P. Xing,... (Science Daily)
Infotainment Jun 20, 2009
com uses machine learning. International Ballet Competition MOSCOW: Ballet dancers warm-up during the International Ballet Competition at Bolshoi Theatre. (Daily Times, Pakistan)
I've got a hunch you may not like Hunch Jun 19, 2009
At this point in time, though, Hunch is really more of a massive experiment in machine learning -- and we're the guinea pigs. Meanwhile, it's lunch time. (San Francisco Chronicle -- Technology)
Hunch service an online tool for making up minds Jun 19, 2009
com uses machine learning to guide people to decisions that seem to suit them ... A Hunch engine uses machine learning technology to come up with insightful questions, the answers to which lead to a personally tailored recommendation regarding a path to take. (Yahoo! Asia News)
Cells Are Like Robust Computational Systems, Scientists Report Jun 18, 2009
"Similarities in the sequences of certain master genes allow them to back up each other to a degree we hadn't appreciated," said Bar-Joseph, an assistant professor of computer science and machine learning and a member of Carnegie Mellon's Ray and Stephanie Lane Center for Computational Biology. Between 5 and 10 percent of the genes in all living species are master genes that produce proteins called transcription factors that turn all other genes on or off. (Science Daily)
Teaching Computers To Recognize Objects Jun 3, 2009
(June 14, 2006) New machine learning techniques make it possible for computers to learn how to discern the geometric context of natural scenes, which has been a major roadblock for computer. . (Science Daily)
Brain's Object Recognition System Activated By Touch Alone May 30, 2009
4, 2008) Researchers, using machine learning and brain imaging, have found a way to identify where people's thoughts and perceptions of familiar objects originate in the brain by identifying the patterns of. . (Science Daily)
From A Queen Song To A Better Music Search Engine May 22, 2009
With its mellow piano, falsetto vocals, rock opera sections and crazy guitar solos, Bohemian Rhapsody is so internally varied that machine learning algorithms at the heart of their experimental music search engine have trouble labeling the song ... Initially, the engineers paid UC San Diego undergraduates to manually label songs that would serve as training materials for machine learning algorithms ... "The Facebook games are a lot of fun and a great way to discover new music. At the same time,... (Science Daily)
The Echo Nest Teams Up With Spotify May 19, 2009
The Echo Nest is a one-of-a-kind machine learning platform created by two MIT PhDs that listens to and reads about music all over the web to enable better music search, recommendation and interactivity. A sneak preview of a prototype Spotify playlist and discovery feature was unveiled by The Echo Nest at today's San Francisco Music Tech Summit. (Yahoo! Wire -- Entertainment News)
Predictive Analytics Seminar Launches 2009 with Offerings in New York City, San Francisco, and -- New -- Stockholm May 10, 2009
Eric served as a computer science professor at Columbia University, where he developed data mining technology in the realms of machine learning performance optimization, integrating historical databases, text mining, and data visualization. Eric produced 11 peer-reviewed research publications and ran an MIT-hosted symposium on data mining. (Yahoo News -- Press Releases)
MapReduce in the browser helps collaborative ... May 6, 2009
g., graphs); and, Data mining and machine learning. Data processing requiring massive parallel processing is ideally suited for capabilities of MapReduce. (Search Webservices)
Indus Script Encodes Language, Reveals New Study Of Ancient Symbols May 1, 2009
"We applied techniques of computer science, specifically machine learning, to an ancient problem," said Rajesh Rao, a UW associate professor of computer science and engineering and lead author of the study. "At this point we can say that the Indus script seems to have statistical regularities that are in line with natural languages.". (Science Daily)
Systematic Comparison of SCOP and CATH: A new GoldStandard for Protein Structure Analysis Apr 18, 2009
SCOP and CATH are widely used as gold standards to benchmark novel protein structure comparison methods as well as to train machine learning approaches for protein structure classification and prediction ... We create a new mapping between SCOP and CATH and define a consistent benchmark set which is shown to largely reduce errors made by structure comparison methods such as TM-Align and has useful further applications, e.g. for machine learning methods being trained for protein structure... (BioMed Central)
NEC Develops Technology that Extracts Opinions from Text Data Apr 14, 2009
Machine learning technologies (*2) are used to determine how many opinion sentences there are in a given group of continuous sentences in a text (a "block" of sentences), in order to extract rules for evaluating the subjectivity or topicality of the block ... 2: Machine learning technologiesTechnologies that extract categorization rules and judgment standards by analyzing example data sets. (JCN Network, Japan)
EFICAz2: enzyme function inference by a combined approach enhanced by machine learning Apr 13, 2009
Other articles by authors. Related articles/pages. (BioMed Central)
Researchers wanted: Humans need not apply? Apr 7, 2009
Said Walter, "Regardless of specialty--biology, physics, chemistry, etc.--scientists may need to add knowledge and skills in artificial intelligence, machine learning, and knowledge representation.". . (EurekAlert!)
Artificial Intelligence and Enterprise Management Mar 6, 2009
CIOUpdate columnist Julie Craig of Enterprise Management Associates (CIO Information Network)
Microsoft mapping course to a Jetsons-style future Mar 2, 2009
"What we're after is common sense about etiquette and what people want," said Eric Horvitz, a researcher at Microsoft who specializes in machine learning. Today on IHT.com. (International Herald Tribune)
Violence in Singapore campus (updated) Mar 2, 2009
According to his website, his research interests include computer vision and machine learning. He has done significant research work his research areas and published over 40 top quality international conference and journal papers. (The Star Online, Malaysia)
Microsoft debuts cloud R&D team Feb 25, 2009
Another demo will show a way to automate server resource management through real-time performance measures and machine learning. Separately, the group is studying issues such as the impacts on data center computing of emerging technologies such as flash memory storage and on-chip optical interconnects. (EETimes)
Opera and BrightCloud Bring Security and Web Filtering to Mobile Web Feb 12, 2009
BrightCloud uses the latest in machine learning algorithms, as well as human classification, to build the largest and most accurate URL database available. By integrating the BrightCloud services, OEMs provide their end customers with a richer, multi-layered security solution. (Yahoo News -- Press Releases)
