Written by Wang Huiying Edited by Ziye What form is closer to AGI: a large model that can think or an agent that can interact through actions? As technology continues to advance and applications are being implemented, the way humans interact with machines is undergoing a paradigm shift. The answer has become a combination of … Read more
First Author: Zhenpeng YaoCorresponding Authors: Zhenpeng Yao, Yanwei Lum, Alán Aspuru-Guzik, Edward H. Sargent, Zhi Wei SehAffiliations: Shanghai Jiao Tong University, University of Toronto, A*STAR (Agency for Science, Technology and Research), Singapore【Research Highlights】Currently, the transition from fossil fuels to renewable energy has become a global challenge. To effectively collect, store, convert, and manage renewable energy, … Read more
Reprinted from AI Technology ReviewInsights into the replication of Manus from cutting-edge research on agents. The emergence of Manus has pushed agents to the forefront of the current AI landscape, making this previously somewhat abstract concept tangible. However, there is no shortage of controversy in the industry regarding Manus, with critics arguing that it lacks … Read more
As machine learning and embedded systems become increasingly important in today’s society, many people are beginning to explore the use of machine learning in embedded systems. This approach can overcome many challenges that may arise when using traditional machine learning. This article will introduce some advantages of this approach. Cost Savings Bring New Opportunities Many … Read more
Event Time September 16 (this Thursday) 20:00-21:00 Event Schedule 20:00-20:45 Keynote Sharing Running TensorFlow on IoT Devices Current status of TensorFlow Lite and TensorFlow Lite Micro Key points and implementation methods of running TensorFlow Lite on Coral Compilation process and technical points of TensorFlow Lite Micro 20:45-21:00 Interactive Q&A Organizing Community GDG Shanghai Bilibili Live … Read more
Professors Ma Chunyuan and Zhang Tao from Northwestern Polytechnical University, along with masters Chen Jing and Yao Ding, recently published a paper titled “Evaluation Methods for Computing Power of Embedded Intelligent Computers” in the Journal of Computer Science. The abstract of the paper is as follows. Scan the QR code or click “Read the original … Read more
In December 2016, Vivienne Sze, Yu-Hsin Chen, and others (authors of Eyeriss) published a good review article titled “Hardware for Machine Learning: Challenges and Opportunities” on arXiv. Here, I would like to discuss my understanding of the “challenges” and “opportunities” in conjunction with this article [8] and the ISSCC2017 paper [1-7]. First, this discussion mainly … Read more
Key Technologies of Machine Learning and Digital Signal Processing in Cortex-M Processors (Click the link to read the original)
▲ Click the above to follow STM32 Artificial intelligence has moved from a high-tech domain to multi-scenario applications,and in this process, embedded technology will become an important carrier platform for AI implementation. Not long ago, the 2020 World Artificial Intelligence Conference (WAIC) just concluded in Shanghai, reigniting the concept of artificial intelligence in the industry. … Read more
Introduction: This issue of AI Briefing 20210115 will bring you 9 pieces of news, interesting and informative~ This article has a total of 3500 words, and it will take about 7 to 12 minutes to read through. 1. EdgeBERT: Extreme Compression, 13 Times Lighter than ALBERT! Will BERT Run on Raspberry Pi Soon? There are … Read more