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Development status and trends of deep learning
In 2017, the ImageNet image classification competition announced the completion of its last session. But this does not mean that deep learning has ceased. On the contrary, the research and application of deep learning have broken away from the previous stage of "classification problems" as the research theme and entered a stage of extensive development. At the same time, the number of submissions to international conferences related to deep learning has increased exponentially year by year, which also shows that more and more researchers and engineers are devoted to the development and application of deep learning algorithms.
The profound impact of neural networks and deep learning on intelligent robots
The above recommended cars are all smart cars that combine neural network and deep learning technology to facilitate the development of such projects and applications. Of course, in the future, with the continuous development and improvement of neural network and deep learning technology, the intelligence level of intelligent robots will be further improved. We have reason to believe that in the near future, intelligent robots will become an indispensable part of our lives, bringing us a more convenient, efficient, and intelligent life experience.
The development of AI in various countries under the current international situation
In short, under the current international situation, the development of AI in various countries shows a diversified and fiercely competitive trend. Countries are strengthening the research, development and application of AI technology in order to occupy a favorable position in future technology competitions. At the same time, countries are also facing different challenges and opportunities and need to strengthen cooperation and exchanges in policy, technology, ethics and other aspects to jointly promote the healthy development of AI technology.
How to use raspberry Pi to bulid raspberry Pi hexapod robot for students
Building a Raspberry Pi Hexapod robot is a captivating and educational project that can inspire students to explore the exciting field of robotics. By combining the Raspberry Pi's computing power with the versatility of servo motors, students can bring this six-legged marvel to life, learning valuable skills in electronics, programming, and mechanical design along the way. Through this hands-on experience, students can develop a deeper understanding of technology, problem-solving, and the joy of creating something remarkable.
How to use ROS (Robot Operating System) to create AI robot car？
XR TH ROS Robot car uses anodized aluminum alloy as the chassis, Jetson Nano main control board, depth camera, 8400mAh lithium battery with charge protection, DC brush motor (comes with 360-line AB coding), nine-axis gyro Rotator, Rplidar A1 radar, 7-inch 1080p high-definition touch screen (capacitive screen), 4-degree-of-freedom robotic arm, etc.
The learning tool of ROS2- ROS2 Hunter smart robot car
After the ROS2 Hunter intelligent robot car uses the Ackerman chassis, its flexibility and performance have been greatly improved, and it has a wider range of usability. It is also more conducive to the development of research projects in autonomous driving, the automotive industry and other related industry projects. .
Analysis of three versions of corgi intelligent robot dog: basic version, graphical programming version, AI version
In general, the three versions of the Corgi intelligent robot dog have their own characteristics, and users can choose the appropriate version according to their needs and budget. For beginners or users who just want to experience the fun of robot dogs, the basic version is a good choice; for users who are interested in programming or families who want to cultivate their children's programming skills, the graphical programming version is a better choice choice; and for users or companies who have in-depth understanding and demand for intelligent robot dogs, the AI version is the best choice.
The Guide to the Best Robotic Kits for Arduino Learners
The Arduino Starter Kit emerges as an ideal entry point for beginners keen on delving into the world of electronics and coding, offering an array o...
How the XR-wifi video robot tank became students’ most popular study partner
the desktop-level XR-wifi video robot tank car has become a popular choice due to its interactivity, fun, STEM education practice platform, problem-solving ability, teamwork and communication skills, adaptability, creativity and cutting-edge technology experience. The most popular study partner among students.
Introduction and difference analysis of Raspberry Pi and Jetson Nano self-driving robot cars
Both have certain advantages from a scalability and integration perspective. Raspberry Pi has rich interfaces and GPIO pins, which can be easily connected to various sensors and actuators to achieve the expansion of various functions. Jetson Nano, with its powerful computing power and flexible communication protocols, can be more easily integrated with other devices and systems. Users can choose the self-driving car that suits them as a learning tool based on their own abilities.
How to build a robot car with Raspberry Pi 5？
Building a robot based on Raspberry Pi 5 involves multiple steps, including hardware preparation, software installation and configuration, programm...
A brief discussion on the different versions of the corgi intelligent robot dog
Generally speaking, the ordinary version of the robot dog has relatively basic functions and is suitable for simple applications and primary education. The graphical programming version of the robot dog provides users with greater customization space through the graphical programming interface. It is suitable for education and scientific research applications; while the AI intelligent version of the robot dog achieves more advanced functions and a wider range of application scenarios by integrating artificial intelligence technology.