New computer-based curriculum gives students a "hands on" learning experience in a wide range of manufacturing and service environments
This solution is ideal for on-machine mounting and fast, precise format adjustment.
Because of the Nov. 14th submission deadline for this years IEEE Conference on Computer Vision and Pattern Recognition (CVPR) several big image-recognition papers are coming out this week: From Andrej Karpathy and Li Fei-Fei of Stanford: We present a model that generates free-form natural language descriptions of image regions. Our model leverages datasets of images and their sentence descriptions to learn about the inter-modal correspondences between text and visual data. Our approach is based on a novel combination of Convolutional Neural Networks over image regions, bidirectional Recurrent Neural Networks over sentences, and a structured objective that aligns the two modalities through a multimodal embedding. We then describe a Recurrent Neural Network architecture that uses the inferred alignments to learn to generate novel descriptions of image regions. We demonstrate the effectiveness of our alignment model with ranking experiments on Flickr8K, Flickr30K and COCO datasets, where we substantially improve on the state of the art. We then show that the sentences created by our generative model outperform retrieval baselines on the three aforementioned datasets and a new dataset of region-level annotations... ( website with examples ) ( full paper ) From Oriol Vinyals, Alexander Toshev, Samy Bengio, and Dumitru Erhan at Google: Show and Tell: A Neural Image Caption Generator ( announcement post ) ( full paper ) From Ryan Kiros, Ruslan Salakhutdinov, Richard S. Zemel at University of Toronto: Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models ( full paper ) From Junhua Mao, Wei Xu, Yi Yang, Jiang Wang and Alan L. Yuille at Baidu Research/UCLA: Explain Images with Multimodal Recurrent Neural Networks ( full paper ) From Jeff Donahue, Lisa Anne Hendricks, Sergio Guadarrama, Marcus Rohrbach, Subhashini Venugopalan, Kate Saenko, and Trevor Darrell at UT Austin, UMass Lowell and UC Berkeley: Long-term Recurrent Convolutional Networks for Visual Recognition and Description ( full paper ) All these came from this Hacker News discussion .
Automation Fair will take place from November 19-20, 2014 at the Anaheim Convention Center, Anaheim, CA.
On the third floor of the Department of Informatics there is a robotics laboratory which looks like a playroom This is where researchers are testing how their robots can figure out how to move past barriers and other obstacles.
The SXUVPS4 photodiodes are ideal for laser alignment applications
Trust Automation Receives Fourth Contract to Provide Motion Control System for Counterfire Radar Production
In today's rapidly evolving security landscape of unconventional battlefields and irregular warfare, our soldiers need to quickly locate and neutralize mortar and rocket threats.
The EGS from SCHUNK is perfect for the gripping of small to medium sized workpieces, with flexible force and high speed in clean environments, such as assembly, testing, laboratory, and the pharmaceutical industry.
VadaTech, a manufacturer of embedded boards and complete application-ready platforms, has announced a dual wideband transceiver in the FPGA Mezzanine Card (FMC) format. The board has a frequency range of 70 MHz to 6 GHz and is ideal for LTE, SDR, and other advanced RF applications.
Microscan Offers Advanced Optical Character Recognition for Machine Vision with New IntelliText OCR Tool
Microscan, a global technology leader in barcode, machine vision, and lighting solutions, announces the latest innovation from its award-winning AutoVISION® machine vision suite: IntelliText OCR. Teach your machines to read rotated, damaged, or low-contrast text. Get more intelligent text recognition on parts and packages. Adapt to any print, lighting, or surface condition with IntelliText OCR.
IAR Embedded Workbench is the ultimate choice for always-on sensor applications for the Internet of Things along with the LPC54100 series
Fabtech - Metcam Sends 100 Employees to FABTECH This Week and Presents Educational Session on Reducing Environmental Footprint
Leading Fabricator Boasts the Largest Corporate Delegation at Principal Metal Industry Event in North America
Innodisk Expands Embedded Peripheral Series with Communication Modules, for IoT and Embedded Applications.
Expansion Modules add Gigabit-Ethernet or Multiport Serial Connectivity
Complete integration in Logix Designer for safety, motion and control
Allied Motion's innovative new DPFlex II sensorless brushless drive hits market
Records 1921 to 1935 of 2419
Factory Automation - Featured Product
High resolution. Limited space. Not a problem for our latest miniature encoders that provides precise feedback and is easy to install within smaller-sized applications. Now available in 400 and 500 CPRs. Coming in at about the size of a nickel, we've added our proprietary Opto-ASIC sensor technology and improved quadrature for even greater motion control. Product Features: 10 resolutions up to 360 CPR, plus new 400 and 500 CPR resolution; 288 configurations available, including single and differential output; Compact form factor • 0.866 inch (in) / 22.00 millimeter (mm) package outside diameter • 0.446 in / 11.33 mm package height • Fits NEMA 8, 11, 14 and 17 motors; Simple and efficient assembly process • Four-piece construction • Push-on hub disk design, patent pending; 100 kilohertz frequency response; Shafted version up to 0.25 in / 6.25 mm diameter.