From Google Online Security Blog: Translating a street address to an exact location on a map is harder than it seems. To take on this challenge and make Google Maps even more useful, we’ve been working on a new system to help locate addresses even more accurately, using some of the technology from the Street View and reCAPTCHA teams. This technology finds and reads street numbers in Street View, and correlates those numbers with existing addresses to pinpoint their exact location on Google Maps. We show that this system is able to accurately detect and read difficult numbers in Street View with 90% accuracy. Turns out that this new algorithm can also be used to read CAPTCHA puzzles—we found that it can decipher the hardest distorted text puzzles from reCAPTCHA with over 99% accuracy... ( cont'd ) ( full technical paper )
Upverter has a hardware startup master list and world map. Currently contains around 150 robotics companies, 500+ consumer hardware startups and a list of incubators, venture firms and everything else... ( cont'd )
From Raspberry Pi Foundation : The compute module contains the guts of a Raspberry Pi (the BCM2835 processor and 512Mbyte of RAM) as well as a 4Gbyte eMMC Flash device (which is the equivalent of the SD card in the Pi). This is all integrated on to a small 67.6x30mm board which fits into a standard DDR2 SODIMM connector (the same type of connector as used for laptop memory*). The Flash memory is connected directly to the processor on the board, but the remaining processor interfaces are available to the user via the connector pins. You get the full flexibility of the BCM2835 SoC (which means that many more GPIOs and interfaces are available as compared to the Raspberry Pi), and designing the module into a custom system should be relatively straightforward as we’ve put all the tricky bits onto the module itself. So what you are seeing here is a Raspberry Pi shrunk down to fit on a SODIMM with onboard memory, whose connectors you can customise for your own needs. The Compute Module is primarily designed for those who are going to create their own PCB. However, we are also launching something called the Compute Module IO Board to help designers get started.
From MinnowBoard : MinnowBoard MAX is another open hardware embedded board we've developed to serve the needs of both the professional developer and hacker/maker community. Based on Intel's new Atom Bay Trail SoC platform, it offers a new generation of performance and features, but remains petite in size and cost. Our entry-level SKU will be $99 MSRP, with additional board configuration options to be made available. All models will include 64-bit processors, USB 3.0, and Intel HD graphics with open source accelerated drivers for Linux, to just name a few of the new features! $99 MSRP: E3815 (single-core, 1.46 GHz), 1GB $129 MSRP: E3825 (dual-core, 1.33 GHz), 2GB HDMI (micro HDMI connector) 1 – Micro SD SDIO 1 – SATA2 3Gb/sec 1 – USB 3.0 (host) 1 – USB 2.0 (host) 1 – Serial debug via FTDI cable (sold separately) 10/100/1000 Ethernet The low-speed expansion port is a 2×13 (26-pin) male 0.1″ pin header. SPI, I2C, I2S Audio, 2x UARTs (TTL-level), 8x GPIO (2x supporting PWM), +5V, GND The high-speed expansion port is a 60-pin, high-density connector. 1x PCIe Gen 2.0 Lane, 1x SATA2 3Gb/sec, 1x USB 2.0 host, I2C, GPIO, JTAG, +5V, GND
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Automatically change end effector tooling quickly and easily with Destaco's Automatic Tool Changers. Designed with exceptional repeatability, high rigidity and load capacity, they are perfect for multiple tooling applications utilizing one robot. We offer different models and sizes to handle light-duty to heavy-duty applications. Our RQC/RTP Series provides a high level of flexibility with a configurable, modular design that accommodates up to four optional modular interfaces.