Is this what you think of when you hear the word “robot”? Actually, there are robots like this as well. And this. Robots don’t necessarily have to look like humans, but they should be able to automatically perform a series of operations like humans. For example, logistics robots can transport goods by themselves; delivery robots … Read more
Originally published on Machine Heart Edited by Wei Pang and Dan Jiang Inspired by the evolutionary design of nature, the automation of robot design using evolutionary algorithms has been attempted for twenty years, but efficiency remains low. Now, from a soap-like substance to a successfully walking robot, the entire design process using AI on a … Read more
By Zhao Chunjiang 1 Agricultural Robots Scientists around the world are continuously exploring robotics. In 1920, Czech writer Karel Čapek’s science fiction play “R.U.R.” introduced the term ‘robot’, derived from the Czech word ‘Robota’, meaning slave. At the first robotics conference in Japan in 1967, Ichiro Kato proposed that robots consist of three essential components: … Read more
Today’s sharing In many people’s minds, all AI agents are robots, but is it possible to understand the reverse, that robots are AI? Robotics and AI (Artificial Intelligence) enable people to find creative answers to the problems encountered by humans and businesses of various sizes across industries. However, many questions still remain: Is AI a … Read more
Source: Big Data Digest The length of this article is 5288 words, recommended reading time 10 minutes This article summarizes 10 deep learning methods suitable for four basic network architectures. Over the past decade, public interest in machine learning has grown significantly. Machine learning can be seen almost daily in computer science programs, industry conferences, … Read more
Citation format：[1] Xu Xinzhen, Wang Guanjun, Li Xiangqun, et al. “Exploration and Practice of AI Talent Cultivation System in the Context of New Engineering” [J]. Industrial and Information Education, 2024(05):1-4+14. Submission date: 2023-7-1 Author introduction: Xu Xinzhen (1980—), male, from Suzhou, Anhui, PhD, Professor, research direction in machine learning, embedded AI, and medical image processing; … Read more
The development of artificial intelligence has brought convenience and changes to people’s lives. However, a cloud-centric architecture is not always the ideal solution in every situation, such as concerns about information security and challenges in product design due to power consumption. As a result, embedded artificial intelligence technology, characterized by its distributed nature, has begun … Read more
Introduction The autonomous driving system is a comprehensive system integrating functions such as environmental perception, decision-making control, and action execution. It is a system that fully considers the coordination planning between vehicles and the traffic environment, and it is also an important component of future intelligent transportation systems. This article focuses on analyzing the relevant … Read more
The latest member of Nordic Semiconductor’s Thingy series, the Thingy 53, combines a flagship dual-core SoC, power management IC, PA/LNA range extender, and multiple sensors, along with embedded machine learning firmware, accelerating the realization of advanced wireless proofs-of-concept. Nordic Semiconductor has released the multi-sensor prototyping platform ‘Nordic Thingy:53’ (“Thingy:53”), which features multi-protocol short-range wireless connectivity … Read more
1. Why Use FPGA? As we all know, the Moore’s Law for general-purpose processors (CPU) has entered its twilight, while the scale of machine learning and web services is growing exponentially. People are using custom hardware to accelerate common computing tasks, but the rapidly changing industry demands that this custom hardware be reprogrammable to perform … Read more