Samsung Unveils Generative AI, Naming it Gauss, for Enhanced Device Capabilities
Samsung Electronics has introduced its own model of generative artificial intelligence. The Samsung Gauss technology is designed for AI applications on the company's devices, as reported by CNBC.
The AI model from Samsung is named after Carl Friedrich Gauss, the "legendary mathematician, author of the law of normal distribution, which forms the basis of machine learning and artificial intelligence."
Samsung's artificial intelligence system boasts several features. The first is a generative language model that can assist in creating emails, translating content, and enhancing consumer experience by providing more intelligent device management when integrated into products. The second function allows software developers to quickly write code, and the third enables the generation or editing of images.
"Samsung Gauss is currently being used to enhance employee productivity but will soon be expanded to various Samsung applications to provide a new user experience," according to Samsung's press release.
Samsung could become one of the world's first phone manufacturers to implement generative artificial intelligence in its devices. Apple is also known to be working on its own model of generative AI, although details are not yet available.
Several notable models of generative AI already exist, including OpenAI's ChatGPT, Google's Bard, and Anthropic's Claude.
In addition to advancements in AI technology, Ukraine, along with other countries, has joined the Bletchley Declaration on AI Safety. This historic event took place at the world's largest summit on AI safety in the UK, with representatives from 29 governments, including the USA, Australia, and the EU.
The Bletchley Declaration is a comprehensive document outlining a program for identifying risks associated with the development of AI technologies. It aims to contribute to the scientific understanding of these risks and the development of international policies to mitigate them. The declaration emphasizes collaborative government research in AI security, with one of the main goals being the coordinated development and implementation of risk-oriented AI regulation policies to prevent negative consequences.