With the rapid advancement of GPU computing power, big data, Internet of Things, sensors, and related fields in recent years, artificial intelligence has made significant strides. Futuristic technologies like facial recognition and voice interaction are becoming increasingly integrated into our daily lives. Between 2012 and 2016, the global AI startup count surged by 5154, securing a total financing amount of $22.4 billion. Many medium and large companies have established AI departments, resulting in a worldwide net investment in AI exceeding $100 billion.
It’s safe to say that, after several ups and downs in history, the era of artificial intelligence has arrived. Over the past years, the DeepBrain Chain core team has delved deeply into the forefront of AI. They were awarded the First Prize in the Enterprise Sector and the Second Prize in the Academic and Enterprise Sectors at the SMP 2017 Chinese Man-Machine Dialogue Field Authority Evaluation Contest held by the Artificial Intelligence Research Center of Harbin Institute of Technology. They outperformed more than 30 top-notch domestic academic and corporate AI teams that participated in the competition.
Their commitment has been towards developing AI applications and services for various Internet of Things devices, enabling ordinary equipment to possess dialogue, thinking, and reasoning capabilities. In 2014, they launched the world’s first AI soundbox, Small Zhi, which arrived on the scene six months ahead of Amazon Echo, causing a stir in the industry and driving the AI revolution in networking equipment.
In 2017, they unveiled the first national AI brain open platform, DeepBrain, recognizing that a significant portion (10% to 30%) of the budgets of many AI enterprises is allocated to AI computing power infrastructure, including the purchase and maintenance of high-performance hardware. This burden inhibits investments in technology research and development.
DeepBrain Chain steps in to address this challenge. It is the world’s first and only AI platform driven by blockchain technology. By utilizing the DeepBrain Chain platform, AI enterprises can reduce hardware costs by up to 70%. Furthermore, the platform’s algorithm is secured by smart contracts, eliminating potential privacy risks associated with data usage, as it cannot be altered. This innovative solution aims to facilitate a smoother technological revolution for AI enterprises.
DeepBrain Chain Whitepaper