Hadoop is an excellent tool for analyzing large data sets, but it lacks an easy-to-use graphical interface. RapidMiner is an excellent tool for data analytics, but its data size is limited by the memory available, and a single machine is often not enough to run the analyses on time. In this project, we combine the strengths of both projects and provide a RapidMiner extension for editing and running ETL, data analytics and machine learning processes over Hadoop.

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Features

• Lightweight RESTful API.
• Asynchronous training.
• Automatically selects from several available machine learning techniques.
• Supported inputs: numeric data and unstructured text.
• Outputs hundreds of discrete categories, or continuous values.
• Gallery of pre-trained prediction models.
• Ability to add new training data on the fly.
• Accessible from many platforms: Google App Engine, Apps Script (Google Spreadsheets), web & desktop apps, and command line.

Read More: http://code.google.com/apis/predict/

[PC World & BBC]

The project analyzes the lyrics of over 40,000 songs for metaphors, similes, cultural references, phrases, memes and socio-political ideas.[Project] The project is one of its kind with a huge potential offering to the hip hop world, not only can you visualize the artists career’s but also have deeper analysis into their world where you can potential patternize their music.

Interesting Links:

• http://www.eyebeam.org/taxonomy/term/5029
• https://spreadsheets.google.com/ccc?key=0Aju92oYl3qVTdFUzdGZPVFh6Tld0YUd1VWhzaVd5ZFE&hl=en#gid=0
• http://www.hiphoparchive.org/

[Read more @ Wired]

The company was founded by Deb Roy and Michael Fleischman based on their research at the MIT Media Lab.  Roy is a tenured professor at MIT who has pioneered research on human communication using massive data sets and cognitive modeling. He has taken leave from MIT to head up Bluefin.

[ Read More]

For more visit:

http://rapid-i.com/content/view/267/1/

The new Kinect from Microsoft has moved gaming systems to its next phase. Kinect is equipped with three key technologies which make it stand apart:

• Motion Sensing Technology
• Voice Recognition Technology
• Machine Learning Technology

The biggest feature is the ability to track a person in real time without having them wear sensors and somewhat of a holy grail in Artificial Intelligence, was devised in their research lab in the U.K. The machine learning technology enhances the game system’s ability to track people of different shapes and sizes and even distinguish one part of their body from another. The combinational offering has taken gaming to a new dimension, we should wait and watch what is next from the kinect team from Microsoft, 3D Gaming or become a part of the game virtually.

Want to know more about kinect technology, read more here: Develop Online.

[Wall Street Journal]

The Deep Learning program, DARPA is conducting basic research into hierarchical machine perception and analysis, and applications in visual, acoustic and somatic sensor processing for detection and classification of objects and activities.

[Read More DARPA]

The Display Campaign Optimizer and Contextual Targeting Tool are the two new tools. They help advertisers reach performance goals and simplify the overall buy and sell system. Display Campaign Optimizer manages targeted bids to generate more conversions such as sales or leads by finding the correct sites which improve performance in real time. The Contextual Targeting Tool automates the task of determining the keywords to target the words that work, so advertisers can build campaigns in minutes rather than hours.

[Read More at Media Post ]

With many stars being born every day, and many more dieing and disappearing, the space is a massive challenge to deal with. Today, thanks to digital photography astronomers get to spend more time making sense of the sky, than just gazing at it with telescope every night.  The best thing that astronomer say, is the use of data mining and statistic techniques, which makes their job a lot easier.

Some key facts:

• Key goal is learning about the changing sky faster and more efficiently.
• Typically, 1.5 Million new observations every night.
• Machine learning algorithms which recognize different galaxy types ranging from spiral to elliptical are improving and aiding the process very efficiently.
• Its also important to note that more data also means increased problem space.

[ Read  more at Space]