A free diagnostic tool is now available to help developers create energy-efficient apps that conserve battery power and respond faster.
The AT&T Application Resource Optimizer (ARO), which runs alongside device apps, analyzes energy usage and pinpoints inefficiencies in how apps connect and transfer data (a previous article details the complex device-network interactions). Go here to access ARO and learn more.
AT&T Labs-Research is looking for talented individuals who can make a difference in computer science and electrical engineering research. Areas of interest include networking, wireless, information management and visualization, HCI and devices, statistics, machine learning, speech and language processing, software systems, cloud computing, and image processing. PhD-level candidates at all levels of experience may apply. Interviews will be conducted in early 2012. For more information, click here.
AT&T’s patented CAM technology brings users the TV content they want to watch. CAM collects content from providers, analyzes it against keyword-based profiles created by users, then delivers personalized network streams to users' TVs or mobile devices. No more searching forever for programs to watch. CAM will be on display at the 15th Annual Congressional Internet Caucus Advisory Committee Technology Exhibition, January 25, 5-7 PM in the Hart Senate Office Building, Room 902.
AT&T researchers, along with the ASA Text-to-Speech (TTS) Technology working group (S3-WG91), are collecting data comparing the intelligibility of seven different synthetic speech systems at various speaking rates. The aim is to make TTS more usable by all, including users of mobile devices, children with learning disabilities, people with visual disabilities (see paper) or hearing impairments.
Creating large-scale visualizations can be difficult, requiring either complex coding or manipulating standalone graphics primitives to fit together. Facet is an open-source, WebGL-based visualization infrastructure that provides an easier way: primitives designed to assemble easily together along with easy-to-use software to aid assembly.
Still early in the design stage, Facet is now available for downloading.
The AT&T WATSONSM speech and language engine is being incorporated into a prototype voice-enabled mobile virtual assistant for use by automotive manufacturers.
To help reduce driver distraction, AT&T is working with Panasonic Automotive and QNX Software to let drivers use voice commands for text messaging, web browsing, updating social media, and other tasks, including controlling GSP and radio. See the press release for more information.
Fair and Optimal Resource Allocation for LTE Multicast (eMBMS): Group Partitioning and Dynamics
Jeffrey Erman, Guangzhi Li, Rakesh Sinha, Mung Chiang, Jiasi Chen, University of California K. K. Ramakrishnan
Understanding the bottlenecks in Virtualizing Cellular Core Network Functions
Rittwik Jana, Jeffrey Erman, Vijay Gopalakrishnan, Ashok Sunder Rajan, Sameh Gobriel, Christian Maciocco, Kannan Babu Ramia, Sachin Kapur, Ajaypal Singh