SAN MATEO, Calif., Nov. 17, 2022 (GLOBE NEWSWIRE) — DeepBrain AI, a pioneering artificial intelligence (AI) company, today announced that it has been named a CES® 2023 Innovation Awards Honoree Re; memory in the Virtual & Augmented Reality (VR/AR) category. The announcement was made ahead of CES 2023, the most influential technology event in the world, which took place on January 5-8 in Las Vegas, US. This year’s CES Innovation Awards received a record number of over 2100 submissions.
The CES Innovation Awards program, hosted and produced by the Consumer Technology Association (CTA)®, is an annual competition that honors outstanding design and engineering in 28 consumer technology product categories. An exclusive panel of industry expert judges, including members of the media, designers, engineers, and more, reviews submissions based on innovation, engineering and functionality, aesthetics, and design. Those with the highest rating receive the “Best of Innovation” classification.
This is the second year in a row that the DeepBrain AI service has been named an Innovation Awards Honoree. In 2021, DeepBrain Ai’s text-to-video SaaS platform ‘AI STUDIOS’ was named a CES® 2022 Innovation Awards Honoree in the broadcast category, and this year Re;memory is named a CES® 2023 Innovation Awards Honoree in the Virtual & Augmented Reality category.
Deep learning technology to remember loved ones who have passed away
Re;memory is an AI memory service that combines the client’s voice and face as an AI person. Re; memory recreates deceased family members using AI and allows their loved ones to meet and communicate with them after death.
Re;memory creates an AI persona in stages while the client is still alive. The first part of the Re;memory journey is for the scriptwriters to conduct pre-interviews to collect various episodes and life stories with the client. The next step is for the client to become an exclusive studio. This is a half-day video recording session to prepare the necessary video and audio data for the intensive learning process. Finally, the deep learning process creates an AI persona that matches the client in appearance, facial expressions, voice, tone, and mannerisms.
DeepBrain AI builds AI Human based on collected data and observations. The client can request to test the first sample of AI entertainment. The finished AI Human can be seen in the showroom dedicated to Re; DeepBrain AI memory located in Gangnam-gu, Seoul. Family and friends can hear about four themes – reunion, memories, happiness, and separation – for about 30 minutes.
The DeepBrain AI human recognition solution is based on interactive AI technology that includes voice and video integration, natural language processing, and speech recognition technology, enabling real-time interaction with users and creating virtual people with a photo-realistic appearance. Video synthesis technology based on deep learning integrates non-speech components such as lip sync, movement, and facial expression to get a high-quality realistic person.
Based on this technology, Re;memory recognizes the user’s questions based on STT (Speech to Text) and chatbot technology, which is an active artificial intelligence technology, and has great potential to be able to communicate in real time, two ways, to provide meaningful conversation. AI Human implemented with Re; memory is accessed from a private showroom powered by DeepBrain AI. A high-performance sound system ensures smooth communication, and the large 400-inch screen is recreated in the same size as a real person so that the user can feel their presence.
DeepBrain AI will demonstrate Re; memory at the CES 2023 show and exhibit with AI Studios and AI Human Solutions. Se-young Jang, CEO of Deep Brain AI, said, “I am very grateful to be recognized for AI technology by winning the Innovation Award at CES, one of the largest IT exhibitions in the world, for two years in a row. With the continuous and development of AI technology, we will emerge as a leading human AI company with great competition in the global market.
Image 1: Memory
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