Artificial intelligence consists of three elements: algorithms, computation, and data. Algorithms are the core of AI implementation, while computation and data serve as the foundation. In terms of algorithms, they can mainly be divided into engineering methods and simulation methods. The engineering method employs traditional programming techniques to improve algorithm performance using extensive data processing … Read more
The current mainstream AI chips can be mainly divided into three categories: GPU, FPGA, and ASIC. Both GPU and FPGA are relatively mature chip architectures and belong to general-purpose chips. ASIC is a chip customized for specific AI scenarios. The industry has confirmed that CPU is not suitable for AI computing, but is still indispensable … Read more
Intel: Microprocessor Chip 01 Intel 4004 Microprocessor Release Date: November 15, 1971 Features: 10-micron process, 2250 transistors, speed 108KHz, size 3mm×4mm, 4-bit processor, 45 instructions, executes 50,000 instructions/second, priced at $200 The 4004 can read and execute instructions and exchange information with other computer components. It can perform 60,000 calculations per second, with a computing … Read more
In the foreseeable future, artificial intelligence will play a significant role in national and international security. Therefore, the U.S. government is considering how to control the dissemination of information and technology related to artificial intelligence. Due to the difficulty in effectively managing general artificial intelligence software, datasets, and algorithms, the computer hardware required for modern … Read more
CPU Section 1. CPU Architecture The CPU architecture currently lacks a definitive and authoritative definition. Simply put, it refers to the design scheme of the CPU core. CPUs can generally be classified into various architectures such as X86, IA64, RISC, etc. The CPUs found in personal computers are essentially designed based on the X86 architecture, … Read more
As cars enter the era of electrification and intelligence, the terminology arising from product transformation confuses consumers. For instance, terms related to chips such as CPU, GPU, NPU, SoC, etc. These parameters are particularly important, even rivaling some core component configurations from the era of fuel vehicles. This time, we will conduct a popular science … Read more
Click the above Computer Enthusiasts to follow us In the past, mid-range Huawei/Honor phones competed with the Kirin 710 and Qualcomm Snapdragon 6 series. However, when Qualcomm launched the Snapdragon 7 series mobile platform, the performance of the Kirin 710 became somewhat inadequate, after all, its performance is only on par with the Snapdragon 660. … Read more
Click the above PC Enthusiasts to follow us At the end of last year, Qualcomm tailored the Snapdragon 8cx Gen3 computing platform for “Windows on ARM”, which uses a 5nm process and consists of 4 cores of 3.0GHz Cortex-X1 super large cores and 4 cores of 2.4GHz Cortex-A78 large cores. Compared to the previous generation, … Read more
With the arrival of high-level intelligent driving, smarter cars need to process larger amounts of images, videos, and other unstructured data. Traditional MCU chips cannot meet the computational demands, while AI chips can achieve fast, accurate, and efficient calculations. We focus on data from Horizon, where L3 level autonomous driving generates a data volume of … Read more
Click on Computer Enthusiasts to follow us With the rise of competitive mobile games, smartphones are facing increasingly stringent requirements for 3D graphics rendering and computational capabilities. At the same time, 4K ultra-high-definition recording, video editing on mobile devices, AR, and VR entertainment applications all rely heavily on the involvement of GPUs (as well as … Read more