Found in Robotics News & Content, with a score of 5.25
November 01, 2021
…simulating lifelike emotions through dynamic facial expressions, movement, and speech,” claimed the company. In addition, Gaumard supplies the SUSIE childbirth torso and ZOE gynecological trainer. Bridging the uncanny valley “One of the benefits of simulation is that we can reproduce high-risk, low-frequency complications over and over until the learner gets it right,” Archetto said. “They may occur only once or never in training, but our robots enable repetition until the learner develops the 'muscle memory' for how to respond.” What about the so-called uncanny valley, where people find more realistic humanoid robots unsettling? “When we think of how we develop…
Found in Robotics News & Content, with a score of 7.59
August 04, 2021
…Jennifer through a headset microphone. Lucas has been perfecting its voice technology for over 23 years, so our AI-driven speech engine has been refined to handle noisy warehouse environments, as well as multiple languages. How will the joint offering be sold—directly, or through third parties? Ramoutar: We have a flexible model where the joint Lucas-Fetch solutions can be purchased directly or through partner channels, depending on customer preference. When will the integrated solutions be available? Phillips: Integrated solutions are available now.
Found in Robotics News & Content, with a score of 15.90
July 07, 2021
…24/7. WellSaid Labs works on AI challenge Creating natural-sounding speech from text is considered a “grand challenge” in the field of AI and has been a research goal for decades. Over the past three years, WellSaid Labs said it has developed advances in the quality, speed, and reliability of neural text-to-speech (TTS) systems. In June 2020, the company claimed that its TTS technnology became the “first synthetic media service to achieve human parity” for naturalness on short audio clips across multiple voices. WellSaid said it has rearchitected TTS to enable content creators of all sizes to develop all their desired…
Found in Robotics News & Content, with a score of 3.88
June 30, 2021
…digital technologies. The natural language processing, machine learning models, speech synthesis, and all of the other complexity is performed in a digital system that sits beyond the walls of your home but is able to connect to that door lock and perform a physical action on your behalf. For an end user, the beauty of Alexa is that they don’t have to know how any of this works, which parts are physical or digital; it just makes their lives better. Now, as a technologist, I'm always trying to look at the bigger picture, and when I think about things like…
Found in Robotics News & Content, with a score of 10.31
May 29, 2021
…investment arm of the Bosh Group. Sinovation Ventures was founded in 2009 by Kai-Fu Lee, who developed a continuous speech-recognition system for his doctoral thesis at Carnegie Mellon University and who later led Microsoft Research Asia and Google China. “MegaRobo's technology increases efficiency in production automation,” stated Dr. Ingo Ramesohl, managing director at RBVC. “Already today, robots from MegaRobo are used for special applications in the end-of-line production of household appliances at Bosch. Beyond these applications, we see many other opportunities for cooperation between MegaRobo and Bosch.”
Found in Robotics News & Content, with a score of 8.37
April 12, 2021
…PowerScribe One for radiology reporting. All of these clinical speech-recognition products are built on Microsoft Azure and offered through a software-as-a-service (SaaS) model. Nuance added that its systems are designed to work with core healthcare systems, including electronic health records (EHRs), to alleviate the burden of clinical documentation and empower providers to deliver better patient experiences. It added that more than 55% of physicians and 75% of radiologists in the U.S. use its systems. Nuance to augment healthcare cloud offerings Microsoft said it acquisition of Nuance builds upon the partnership between the companies that was announced in 2019. The companies…
Found in Robotics News & Content, with a score of 4.82
February 10, 2021
…at Lucas Systems. He and Steve Yurrick, director of speech and mobile technologies at Lucas, talk about a recent innovation—a multi-modal picking system that runs on an Android smart watch. They say the first application is at a UK third-party logistics (3PL) provider that operates a multi-channel DC for one of the country’s largest cell phone retailers. Previously, the operation was guided by a radio frequency portable terminal-based picking process paired with ring scanners. While highly accurate and mobile, the screen- and scan-based process actually added unnecessary time to each pick. Scanning could not be entirely eliminated because many of…
Found in Robotics News & Content, with a score of 5.39
May 20, 2020
…pioneering research such as Thai natural language processing, automatic speech recognition, computer vision and medical imaging. Element AI—a Montreal-based developer of AI-powered solutions and services—is deploying DGX A100 to accelerate performance and feature optimization for its Orkestrator GPU scheduler to meet growing AI training and application demands. German Research Center for Artificial Intelligence (DFKI) will use the DGX A100 systems to further accelerate its research on new deep learning methods and their explainability while significantly reducing space and energy consumption. Harrison.ai—a Sydney-based healthcare AI company—will deploy Australia’s first DGX A100 systems to accelerate the development of its AI-as-medical-device. The UAE…
Found in Robotics News & Content, with a score of 31.68
March 17, 2020
…to be there. The solution is based on an ergonomic headset, wearable mobile device and advanced software that utilizes “text-to-speech” and “speech-to-text” technology (currently available in 41 languages). By converting warehouse management system information to speech, Honeywell Voice provides audible instructions to warehouse operators — directing them to the next location and guiding them through the required tasks or steps to complete processes, such as picking, inventory replenishment, maintenance and repairs.
Found in Robotics News & Content, with a score of 6.65
November 01, 2019
…can consider digital assistants as a translator of human speech to computer speech.” A Richer Mix of Functionality The incorporation of digital assistant technology positions social robots to assume a unique set of roles in the smart home. The development and cultivation of natural language programming algorithms, far-field microphone arrays, echo and noise cancellation, and voice recognition are essential for many of the functions that these robots perform, but one crucial ingredient is missing. Add mobility to the mix, and you have what promises to be a winning combination. According to the ABI Research report “Smart Home Robotics,” articulation and…
Found in Robotics News & Content, with a score of 11.62
July 24, 2019
…to continuous AI breakthroughs in areas such as vision, speech, language processing, translation, robotic control, and even gaming. Advances in AI Capabilities In a recent Microsoft blog, the author describes how each year since 2012, the world has seen a new step function advance in AI capabilities. Though these advances are across very different fields like vision (2012), simple video games (2013), machine translation (2014), complex board games (2015), speech synthesis (2016), image generation (2017), robotic control (2018), and writing text (2019), they are all powered by the same approach: innovative applications of deep neural networks coupled with increasing computational…
Found in Robotics News & Content, with a score of 3.85
July 01, 2019
…fits all use cases. Most AI-enabled IoT applications target speech recognition and response, image classification, tracking video features and processing sensor data to analyze behavioral patterns. Each of these applications can have widely different requirements for performance, response latency and power. “The common underlying theme for all the architectures is that they require arithmetic logic units or multiply-accumulate units (MACs) to perform arithmetic operations, as well as large amounts of on-chip and/or off-chip memory to hold input data and intermediate computation results,” says NXP’s Mahatme. “A higher number of MACs corresponds to higher performance. This must be complemented with the…
