(Source: techspot) Today, hardware and software applications for artificial intelligence have evolved into systems designed specifically to optimize AI and neural network operations. This includes Neural Processing Units (NPU), whose capabilities in accelerating AI tasks are often comparable to those of Graphics Processing Units (GPU). NPUs are increasingly common hardware designed to execute cutting-edge AI/machine … Read more
AMD recently launched the world’s first desktop AI processor: the Ryzen 8000G series, marking the official entry of desktop PCs into the AI era. The Ryzen 8000G has garnered widespread attention from gamers and is selling hotly, poised to become the next generation’s blockbuster CPU. So, how powerful is the AI functionality of the Ryzen … Read more
As we all know, the “AI PC” has become one of the hottest topics in the consumer electronics industry today. For consumers who may not be well-versed in technical details but are intrigued by this concept, they believe that the “AI PC” can assist them in completing tasks they are not skilled at or alleviate … Read more
Click the card below to follow the “LiteAI” public account Hi, everyone, I am Lite. Some time ago, I shared the Efficient Large Model Full-Stack Technology from Part One to Nineteen, which includes topics such as large model quantization and fine-tuning, efficient inference for LLMs, quantum computing, and generative AI acceleration. The content links are … Read more
On September 10, Apple and Huawei held their product launch events simultaneously, inviting scrutiny from the market. The two tech giants—Huawei and Apple—unexpectedly chose this day to unveil their new products, undoubtedly bringing double anticipation to tech enthusiasts. This face-off has been humorously dubbed by many netizens as “mutual face-to-face grand opening”. So, when we … Read more
MLNLP community is a well-known machine learning and natural language processing community, with an audience covering NLP master’s and doctoral students, university professors, and corporate researchers. The vision of the community is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, especially for beginners. Reprinted from … Read more
Originally from PaperWeekly Author: Dan Jiang Affiliation: National University of Singapore Generally speaking, the deployment of large language models follows the “pre-training – then fine-tuning” model. However, when fine-tuning a base model for numerous tasks (such as personalized assistants), the training and service costs can become very high. Low-Rank Adaptation (LoRA) is a parameter-efficient fine-tuning … Read more
Recently, NVIDIA’s market value increased by 5.2%, closing at $3.019 trillion, surpassing Apple to become the second largest company by market value in the US stock market, second only to Microsoft. In today’s technology landscape, GPUs have become one of the most important infrastructures driving the development of artificial intelligence, deep learning, and high-performance computing. … Read more
X-Silicon Inc. (XSi) has created a new RISC-V microprocessor architecture that combines RISC-V CPU cores with vector capabilities and GPU acceleration into a single chip. According to Jon Peddie Research, the CPU/GPU hybrid chip is open-source and is designed to handle a variety of functions typically managed by dedicated CPUs and GPUs, aiming to do … Read more
1. Overview With the surge of artificial intelligence and the widespread application of AI algorithms, deep learning has become a key focus of current AI research. In the field of autonomous driving, environmental perception, sensor fusion, and control decision-making all involve deep learning to some extent. The performance of autonomous driving is directly related to … Read more