Generative AI has entered the daily work and life of many people. Nowadays, with just a simple input on a computer, users can generate answers or media content to their questions or needs through DNN models (typically using a large language model, LLM). However, the drawback of this application scenario is the overly simplistic operation, … Read more
In this issue, let’s learn about robotics. In the current wave of technological advancement, artificial intelligence is subtly permeating every aspect of life, and the field of robotics is innovating and iterating at an unprecedented speed. From the thoughtful services of smart assistants in homes to efficient production in automated factories; from precise medical treatments … Read more
👇 Follow our official account and selectStar, to receive the latest insights daily Abstract Embodied Intelligence is a cutting-edge field at the intersection of artificial intelligence and robotics, emphasizing that agents achieve autonomous learning and evolution through dynamic interactions with their bodies and environments, with the core focus on the deep integration of perception, action, … Read more
MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering audiences including NLP graduate 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.Source | New … Read more
1. Basic Definition and Core Features of AI Agents An AI Agent (Artificial Intelligence Agent, 人工智能代理) is an intelligent entity capable of autonomously perceiving the environment, making decisions, and executing tasks. Its core feature lies in using large language models (LLM) as its “brain,” combined with planning, memory, and tool invocation capabilities to achieve automated … Read more
Click the blue text above👆 to follow us! The ByteDance Doubao large model team has officially open-sourced the first multilingual SWE dataset – Multi-SWE-bench, which can be used to evaluate and enhance the bug-fixing capabilities of large models. Building on SWE-bench, Multi-SWE-bench covers seven mainstream programming languages beyond Python for the first time, making it … Read more
June 4, 2019 Original Author: Felix Yu, Source: https://flyyufelix.github.io/2019/06/04/pixmoving-hackathon.html Using style transfer as a data augmentation technique to improve model robustness 1. Introduction During my time in the United States last year, I attended several Donkey Car meetups and noticed that Donkey Cars using end-to-end neural networks (i.e., directly outputting steering and throttle) performed worse … Read more
1. Introduction In the field of modern intelligent robotics, autonomous mobile robot systems have gradually become an important research direction and application area. These robots not only need to possess efficient motion control capabilities but also rely on precise environmental perception and optimized path planning to adapt to complex and changing environments, providing solutions for … Read more
Analysis of the Paper Multi-Strategy Multi-Objective Differential Evolutionary Algorithm with Reinforcement Learning 1 Research Background Multi-objective optimization problems (MOPs) are very common and important in practical applications. Due to the inherent conflicts between different objectives, MOPs usually do not have a single optimal solution but rather a set of optimal solutions known as the Pareto … Read more
PLC Intelligent Control: Reinforcement Learning Controllers Enhance Complex System Optimization by 60%! Introduction Hello everyone! Today I want to share with you a technological breakthrough that excites the industrial automation field — the PLC Reinforcement Learning Controller! Don’t be intimidated by this technical term, I will explain it in the most relatable way. Trust me, … Read more