Source: MedRobot ; Editor: Mint Reprint Requirements: Please indicate the source at the beginning of the article, and it can be reprinted directly. From selecting navigation paths on maps to ChatGPT drafting emails, artificial intelligence has made everyday life easier and reduced the difficulty of various tasks. Similarly, in the healthcare field, AI plays 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
Embedded AI: Practical Image Processing with OpenCV Speaker Introduction Lu Ming AI Product Architecture Expert at OPEN AI LAB Graduated with a master’s degree from Shanghai Jiao Tong University, specializing in image processing. Previously worked at a leading global telecommunications equipment manufacturer, responsible for integrated circuit design and software development for communication systems. Afterward, he … Read more
High-performance computing chips have become one of the key factors in the competition for the digital economy and artificial intelligence, even determining the outcome of global computing power competition. What is a Computing Power Chip? A computing power chip is a special integrated circuit designed to provide powerful computing capabilities. As the core driving force … Read more
The billion-dollar data center market is divided among Altera, Xilinx, and otherFPGAs suppliers. After Intel acquired Altera in June 2015, this market became even more complex. Before the acquisition in 2014, Altera’s revenue of $1.9 billion had 16% from data center-related computing, networking, and storage businesses, totaling $304 million. Those communication and wireless equipment system … Read more
The current mainstream AI chips can be divided into three categories: GPU, FPGA, ASIC. Both GPU and FPGA are relatively mature chip architectures and belong to general-purpose chips. ASICs are chips customized for specific AI scenarios. The industry has confirmed that CPU is not suitable for AI computing, but it is still indispensable in the … Read more
(Source: techspot) Graphics Processing Units (GPUs) and Field Programmable Gate Arrays (FPGAs) are two of the three main types of processors used for imaging and other heavy computations. The Central Processing Unit (CPU) is the third type. Let’s delve into the main differences between GPUs and FPGAs, their advantages, common use cases, and when to … Read more
Engelberg, known as the “father of robotics,” passed away on December 3. The robotics industry association stated that because of him, robotics has become a global industry, highlighting his crucial role in the development of robotics. So, what significant events in the grand history of robotics are worth our understanding? First, let’s clarify what a … Read more
【Research Background】 Layered oxides are a class of cathode materials with significant applications in lithium-ion batteries. During battery operation, the complex phase transitions induced by electrochemical processes at the nanoscale remain one of the major obstacles to the development of the next generation of high energy density lithium-ion batteries. Generally, the phase degradation of layered … Read more
Introduction With the increasing demand for computing power, the energy consumption of modern computing systems is also rising, making it challenging to support the sustainable future development of artificial intelligence technologies. This energy issue largely stems from the traditional digital computing systems employing the classic von Neumann architecture, where data processing and storage occur in … Read more