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/

Dhiti offers a RESTful API to our exploratory search platform. In short, our platform allows you to:

• Upload a set of documents (html, or text) into a session.
• Extract top topics, or concepts for a document, or a set of documents
• Provide relevance feedback about articles, concepts or nuggets you like and dislike.
  Recommendations subsequently change according to that.
• Get recommendations of nuggets, articles or categories for a pivot. A pivot can be,
  • a url (of a document already added)
  • a string (treated as a query)
  • a category
  • your preferences – based on the relevance feedback
• Persist the session, along with your preferences

Some applications of our API:

• Content discovery on publishing sites. Dhiti Dive.
• Explore pages and topics on any page on the web. Drilll
• Convert your incoming twitter stream into a research library. Intweetion
• Get short, relevant previews from a book. Eg: Preview for the Selfish Gene

More: http://dhiti.com/api/

[PC World & BBC]

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]

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 ]

How does it work?

Recorded Future scans Twitter accounts, blogs, and websites to find relationships, organizations, actions and incident data related to general themes.

It features the world’s first Temporal Analytics Engine (unlike a decision engine this uses a time series analysis). A new predictive analysis tool that allows you to visualize the future, past or present.

Prices and Plans:

About Recorded Future

Recorded Future is an early stage company headquartered in the Boston area. We have 15+ employees in various corners of the globe attacking a hard problem – organize the web in a radically new and useful way. The world’s 24×7 media flow constantly talk about time, whether it is reports of what’s transpired or statements of what’s expected to come. Recorded Future’s linguistics and statistics algorithms extract time-related information and through temporal reasoning helps users understand relationships between entities and events over time, to form the world’s first temporal analytics engine. Our customers include some of the most advanced financial institutions and leading government agencies in the world.

[Read Silicon]