 | |
Native name | 云知声 |
|---|---|
| Type | Private |
| Industry | Technology |
| Founded | 2012 |
| Headquarters | , China |
Number of locations | 4 |
Area served | Worldwide |
Key people |
|
| Website | unisound.com |
Beijing Unisound Information Technology Co., Ltd., often shortened to Unisound, is a Chinese technology company based in Beijing. It is a unicorn startup [1] specialising in speech recognition and artificial intelligence services applicable to a variety of industries. [2]
Since the company was founded in 2012 by Huang Wei it has raised over US$250 million. [3] In 2018 Unisound raised US$100 million from the China Electronics Health Fund. [4]
Unisound has been involved in academic research relating to voice recognition technologies and acoustic modelling powered by deep neural networks. [3] [5]
In 2018, Unisound developed their product Swift which they described as the first AIoT chip due to its combination of AI and IoT technologies. [6] The development of Swift was accelerated due to strategic collaborations with Baidu and IngDan (硬蛋), a subsidiary of the Cogobuy Group. [7] Due to the chip's implementation of deep learning and AI, it is purported to process up to 50 times faster than other AI chips on the market. [7]
Their technology has been developed for industries such as TV manufacturing, air conditioner production, healthcare and automotive technology. [4]
Speech recognition is an interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers with the main benefit of searchability. It is also known as automatic speech recognition (ASR), computer speech recognition or speech to text (STT). It incorporates knowledge and research in the computer science, linguistics and computer engineering fields. The reverse process is speech synthesis.
Jürgen Schmidhuber is a German computer scientist most noted for his work in the field of artificial intelligence, deep learning and artificial neural networks. He is a co-director of the Dalle Molle Institute for Artificial Intelligence Research in Lugano, in Ticino in southern Switzerland. Following Google Scholar, from 2016 to 2021 he has received more than 100,000 scientific citations. He has been referred to as "father of modern AI," "father of AI," "dad of mature AI," "Papa" of famous AI products, "Godfather," and "father of deep learning."
Neuromorphic engineering, also known as neuromorphic computing, is the use of very-large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures present in the nervous system. A neuromorphic computer/chip is any device that uses physical artificial neurons to do computations. In recent times, the term neuromorphic has been used to describe analog, digital, mixed-mode analog/digital VLSI, and software systems that implement models of neural systems. The implementation of neuromorphic computing on the hardware level can be realized by oxide-based memristors, spintronic memories, threshold switches, and transistors. Training software-based neuromorphic systems of spiking neural networks can be achieved using error backpropagation, e.g., using Python based frameworks such as snnTorch, or using canonical learning rules from the biological learning literature, e.g., using BindsNet.
Long short-term memory (LSTM) is an artificial neural network used in the fields of artificial intelligence and deep learning. Unlike standard feedforward neural networks, LSTM has feedback connections. Such a recurrent neural network (RNN) can process not only single data points, but also entire sequences of data. For example, LSTM is applicable to tasks such as unsegmented, connected handwriting recognition, speech recognition, machine translation, robot control, video games, and healthcare. LSTM has become the most cited neural network of the 20th century.
Yann André LeCun is a French computer scientist working primarily in the fields of machine learning, computer vision, mobile robotics, and computational neuroscience. He is the Silver Professor of the Courant Institute of Mathematical Sciences at New York University, and Vice President, Chief AI Scientist at Meta.
Deep learning is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised.
Google Brain is a deep learning artificial intelligence research team under the umbrella of Google AI, a research division at Google dedicated to artificial intelligence. Formed in 2011, Google Brain combines open-ended machine learning research with information systems and large-scale computing resources. The team has created tools such as TensorFlow, which allow for neural networks to be used by the public, with multiple internal AI research projects. The team aims to create research opportunities in machine learning and natural language processing.
Headquartered in Tel Aviv Cortica utilizes unsupervised learning methods to recognize and analyze digital images and video. The technology developed by the Cortica team is based on research of the function of the human brain.
Cogobuy Group is a leading enterprise service platform, dedicated to trading IC and related products and providing services to AI and IoT sectors in China. Following a major business restructuring in 2019, the group merged our chips sales on Cogobuy.com into our Comtech, and merged our R&D and IoT product financing and corporate services, previously under INGDAN.com AIoT business services platform, into IngDan, forming a new “Comtech + IngDan” dual business model.
Movidius is a company based in San Mateo, California, that designs specialised low-power processor chips for computer vision. The company was acquired by Intel in September 2016.
An AI accelerator is a class of specialized hardware accelerator or computer system designed to accelerate artificial intelligence and machine learning applications, including artificial neural networks and machine vision. Typical applications include algorithms for robotics, internet of things, and other data-intensive or sensor-driven tasks. They are often manycore designs and generally focus on low-precision arithmetic, novel dataflow architectures or in-memory computing capability. As of 2018, a typical AI integrated circuit chip contains billions of MOSFET transistors. A number of vendor-specific terms exist for devices in this category, and it is an emerging technology without a dominant design.
Speechmatics is a technology company based in Cambridge, England, which develops automatic speech recognition software (ASR) based on recurrent neural networks and statistical language modelling. Speechmatics was originally named Cantab Research Ltd when founded in 2006 by speech recognition specialist Dr. Tony Robinson.
DeepScale, Inc. is an American technology company headquartered in Mountain View, California, that develops perceptual system technologies for automated vehicles. On October 1, 2019, the company was purchased by Tesla.
SenseTime is a Hong Kong-headquartered artificial intelligence company with offices in China, Indonesia, Japan, South Korea, Macau, Malaysia, the Philippines, Saudi Arabia, Singapore, Taiwan, Thailand and the United Arab Emirates. The company develops technologies including facial recognition, image recognition, object detection, optical character recognition, medical image analysis, video analysis, autonomous driving, and remote sensing. Since 2019, SenseTime has been repeatedly sanctioned by the U.S. government due to allegations that its facial recognition technology has been deployed in the surveillance and internment of the Uyghurs and other ethnic and religious minorities. SenseTime denies the allegations.
Patricia Scanlon is an Irish entrepreneur. She founded SoapBox Labs in 2013, a company that applies artificial intelligence to develop voice and speech recognition applications that are specifically tuned to children's voices. It builds language learning appliances for education like text reading and speech therapy, and modules for toys, gaming, voice control, augmented reality, virtual reality, robotics, and the Internet of things. As of 2015, she is CEO of SoapBox Labs, headquartered in Dublin, Ireland. The startup raised $3.6 million.
Megvii is a Chinese technology company that designs image recognition and deep-learning software. Based in Beijing, the company develops artificial intelligence (AI) technology for businesses and for the public sector. In 2019, the company was valued at $USD 4 billion. Megvii is the largest provider of third-party authentication software in the world, and its product, Face++, is the world's largest computer vision platform. The company has faced U.S. investment and export restrictions due to allegations of aiding the Uyghur genocide.
Xu Li is a co-founder and current CEO of SenseTime, an artificial intelligence (AI) company. Xu has led SenseTime since the company’s incorporation and helped it independently develop its proprietary deep learning platform.
fast.ai is a non-profit research group focused on deep learning and artificial intelligence. It was founded in 2016 by Jeremy Howard and Rachel Thomas with the goal of democratising deep learning. They do this by providing a massive open online course (MOOC) named "Practical Deep Learning for Coders," which has no other prerequisites except for knowledge of the programming language Python.
Cerebras Systems is an American artificial intelligence company with offices in Sunnyvale and San Diego, California, Toronto, and Tokyo. Cerebras builds computer systems for complex artificial intelligence deep learning applications.
The Chinese semiconductor industry, including IC design and manufacturing, forms a major part of mainland China's IT industry.
| Semiconductor | |
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| Mobile devices | |
| Home appliances | |
| Electronic components | |
| Other | |
| Defunct | |
