If you’re into robots and cell phones, you’ll dig Darrell Taylor’s Super Simple Audio Cellbot build over in Make: Projects.
We are increasingly living in ‘the now.’ Real-time, many-to-many methods of communication have redefined how we interact and engage with one another. Every day we are given more control of how we use these tools; the more control the better.
Random Tweet is Random aims to explore how Twitter is used when we take away some of this control. When you tweet with Random, rather than the message being published immediately, it is posted at a randomised time in the following 24 hours. Login to use
Take Part
Many Christians believe The Rapture will take place on Saturday 21st May, 2011. If the scriptures are correct this will mean God's elect few shall be departing Earth for bigger and better things while the rest of us endure five months of agonising suffering, plagues and floods.
As Twitter may not be at the forefront of our minds as fire rains down from the heavens I thought this would be the perfect opportunity to test Random. The question I would like to pose to you is, “If Saturday does indeed spell the beginning of the end for the human race, what would you like your final status update to be; your social media epitaph, if you will?”
Tag Tweets with #randomrapture to have your message aggregated.
If the Arduino wasn’t friendly enough, along comes the Teagueduino from the folks at Teague Labs. Breadboards too confusing? Code have you cross-eyed? Ready-to-go plug-in components and a realtime editor give beginners the training wheels they need to get experimenting right away, while minimizing the fear of breaking something along the way. [Thanks, Adam!]
Teagueduino comes from a long line of hacks and experiments within our design studio and across the open source Arduino/Freeduino community (particularly inspiring were LittleBits and the Grove System). While the more engineering-minded among us have been quick to dive into Arduino, it has become increasingly clear that Arduino is still too technical and daunting for the majority of other creative types just getting started. Teagueduino is our first major step toward an embedded development stepping-stone that makes building projects simple, while exposing key details (such as code syntax, electrical signal values, and physical hardware integration) that provide a scaffolding for learning more advanced systems and tools.
Getting Started
This page describes the basics of what the Google Prediction API is, how to use it, and how to get the most from the documentation.
Contents
- Introduction
- What Can the Prediction API Do?
- Prerequisites
- Questions, Feedback, and Notifications
- Recommended Reading Order
Introduction
This documentation includes a quick "Hello World" application that you can follow to try out the API in just a few minutes. We also provide two complete example web sites that use the API for spam detection and movie preference prediction.
The API is fairly simple to use; it exposes only a few basic calls. Most of the work for you will be restructuring your problem into a format that the API can answer, and then designing training data appropriate for the question.
The Prediction API is accessed by a RESTful interface. You can use your own tools for sending API calls, but we provide several libraries or scripts to access the API using different languages.
What Can the Prediction API Do?
The Prediction API provides pattern-matching and machine learning capabilities. Given a set of data examples to train against, you can create applications that can perform the following tasks:
- Given a user's past viewing habits, predict what other movies or products a user might like.
- Categorize emails as spam or non-spam.
- Analyze posted comments about your product to determine whether they have a positive or negative tone.
- Guess how much a user might spend on a given day, given his spending history.
Prerequisites
- You must have a Google Account.
- You must have an APIs Console project with both the Google Prediction API and Google Storage for Developers API activated.
Questions, Feedback, and Notifications
The Prediction API offers several ways to become involved in the Prediction API community:
- For general questions and discussions, visit the prediction-api-discuss forum.
- For announcements such as new version releases, new features, or service availability notifications, visit the prediction-api-announce forum.
- For feature suggestions, or to give feedback or file bugs, see the Suggestions, Feedback, and Bugs page.
Recommended Reading Order
- Try the Hello World application to see the Prediction API in action.
- Read the developer guide and reference to learn how to use the API.
- Read the pricing and terms of service page to learn about free quota and pricing.
- Look at the example applications for end-to-end code examples that use the API to solve (simple) real-world problems.
- Look over the list of helper libraries that you can use to call the API in a variety of languages.
As seen in the streaming of Google IO 2011, physical computing and interactive enviroments are one of the main topics opening the conference. The Android Open Accessory Kit is going to allow Android related devices receive data from different sensors (just via USB, for now).
The Android Open Accessory Development Kit (ADK) provides an implementation of an Android USB accessory that is based on the Arduino open source electronics prototyping platform, the accessory’s hardware design files, code that implements the accessory’s firmware, and the Android application that interacts with the accessory. The hardware design files and code are contained in the ADK package download.
The board is based on the Arduino Mega2560 and Circuits@Home USB Host Shield designs, since it communicates to the phone in its “accessory” mode. You can get the custom library / firmware to make it run & test with the shield pictured on top.
more info on the [Android Developer site], via [engadget] source [Google IO]
EnOcean's home automation sensors communicate over TCP/IP, play nice with smartphone apps originally appeared on Engadget on Mon, 02 May 2011 14:39:00 EDT. Please see our terms for use of feeds.
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Location Aware
By combining your present location with the time of day, geocron automates your life. When you get to your Metro station during the commute home, geocron can send a text message reading "Pick me up dear" to your spouse.
