Editor’s Note: Welcome to register for the Strata Data Conference held by O’Reilly in Beijing from July 12-15, 2017. Use Amazon Echo and Raspberry Pi to make your own doorbell: identify thousands of visitors at your doorstep for just a few cents a month. Recently, while preparing to install a doorbell in my new house, … Read more
EDA Research Column Integrated circuit EDA tools are not a single tool, but rather a collection of point tools that form a toolchain from front-end design (RTL to gate-level netlist) to back-end design (gate-level netlist to GDS). This includes synthesis, simulation, layout planning, place-and-route, and timing and power analysis optimization. The breakthroughs in EDA tools … Read more
Artificial Intelligence Industry News Following DeepSeek, another AI product exploded onto the tech scene last night.A domestic team named Manus has launched an AI Agent product, which is described on the Manus official website as follows: Manus is a general AI Agent that connects thought and action: it not only thinks but also delivers results. … Read more
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