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
Ceva’s NPU Core Targeting TinyML Workloads (Dylan McGrath, MPR, September 6, 2024) Ceva’s NeuPro-Nano is a licensed neural processing unit (NPU) designed for running TinyML workloads, providing up to 200 billion operations per second (GOPS) for power-constrained edge IoT devices. Compared to other competing NPU IP products aimed at IoT edge, NeuPro-Nano can function as … Read more
New Intelligence Report Editor: LRS [New Intelligence Guide] Enabling language models to think like humans. When ChatGPT was first released, it shocked us with its performance in conversations, so much so that it created the illusion that language models possess “thinking abilities”. However, as researchers delved deeper into language models, they gradually discovered that there … Read more
Click Follow us by clicking the blue text above This paper introduces a modular blueprint and the X1 framework aimed at advancing the development of accessible and scalable Reasoning Language Models (RLMs) by combining reinforcement learning and hierarchical reasoning strategies, simplifying the design and deployment of RLMs, enhancing efficiency, and reducing costs. Paper Introduction By … Read more
Recently, some friends have been complaining that this period is the longest preparation cycle they have ever experienced, learning and forgetting, then learning again until they feel nauseated. But are some people already slacking off, thinking they can do anything but study? How can that be acceptable? Today, let’s learn some practical tips! What are … Read more
DeepSeek Causal Inference Module: Revealing How AI Makes Decisions Across Time and Space In today’s rapidly developing artificial intelligence landscape, can machines really trace the causes and effects of events like detectives? Today, let’s discuss DeepSeek’s causal inference module, a black technology hailed as AI’s “time and space traversing” artifact! What is Causal Inference? Imagine … Read more
Shenyang University of Technology, Wu Ruirui, Liu Jielin Introduction Wireless Sensor Networks (WSN) are self-organizing networks composed of numerous sensor nodes. These sensor nodes not only sense environmental information within the network but also possess simple computational capabilities, allowing them to transmit the relevant information after sensing and processing. Sensor nodes are the most crucial … Read more
Source: Internet Authors: Xu Yongjun, Zhu Hongsong The wireless network, as an application-oriented research field, has developed rapidly in recent years. In terms of key technology research and development, academia has conducted extensive research in areas such as network protocols, data fusion, testing and measurement, operating systems, service quality, node positioning, and time synchronization, achieving … Read more
Click the blue text above to follow us. 🔊Author Introduction: Graduate student from a “985” university, researcher in the field of Matlab. 🚅座右铭：行百里者，半于九十。 ✅Research Scope: Complete Code, Paper Reproduction, Program Customization, Journal Writing, Research Collaboration 🏆Code Acquisition Method: How to Obtain Matlab Code For more Matlab optimization simulation content, click below👇 Matlab Optimization (Advanced Version) … Read more
A Trouble Triggered by an Accident “Oh dear, little bear, why do you look so glum?” Professor Rabbit hopped over to Little Bear. “Sigh, don’t mention it!” Little Bear sighed, “Our factory’s panel production line has gone awry again! The workers are running around checking every link, but they still missed the temperature anomaly, resulting … Read more