CAMBRIDGE, England, July 10, 2015 /PRNewswire/ -- VocalIQ™ – a pioneering company in the field of speech-related artificial intelligence – today announced that it has opened a satellite office in San Francisco to support its Silicon Valley and North American clients and in preparation for the company's public technology launch in the third quarter of 2015.
VocalIQ is developing the world's first self-learning dialogue platform (as opposed to simple voice recognition) that has been recognized by customers as the future of human-machine conversation. VocalIQ uses the most advanced machine learning algorithms to actually enable reliable, accurate and natural human-to-machine conversations for the first time.
The company's founders include CEO Dr. Blaise Thomson, who spent several years researching new approaches to building spoken dialogue systems as a Research Fellow at St John's College Cambridge; and Chairman Professor Steve Young, a world-renowned computer speech researcher at Cambridge University, who has pioneered the use of machine learning in dialogue systems.
Interested journalists may contact the company at email@example.com to arrange an embargoed pre-briefing and demonstration of VocalIQ's deep learning-based conversational technology. In addition, a new video of Dr. Thomson speaking on the future of human / machine conversation at the Playfair Capital Machine Learning Symposium is also available at www.vocaliq.com.
The company's new U.S. office is at 71 Stevenson Street, Suite 400, San Francisco.
VocalIQ is a startup focusing on the twin challenges of machine learning integrated with conversational voice technology. To that end, VocalIQ has created the world's first self-learning dialogue platform. The company's technology enables natural human/machine interaction on mobile, desktop, automotive and IoT (Internet of Things) devices.
VocalIQ is a trademark of VocalIQ, Limited. All other trademarks and registered trademarks previously cited are the property of their respective owners and are hereby acknowledged.