
Experts discuss strategies to accelerate EV adoption, including infrastructure development, consumer education, and technological advancements in battery technology and autonomous driving.

The auto industry's radical transformation: self-driving cars, shift from fossil fuels, changing ownership models, and ethical considerations in the digital age.

Experts discuss cybersecurity challenges, solutions, and future trends, exploring the quest for comprehensive protection in an evolving digital landscape.

Volvo's Chief Digital Officer discusses the company's shift towards subscription models and innovative user interactions in response to changing transportation trends and consumer behaviors.

Explore the future of racing with Formula E champion Lucas Di Grassi as he discusses autonomous race cars and the impact of machines on motorsports.

Exploring the future of cars: from prized possessions to autonomous hubs. Experts discuss how vehicles may evolve into entertainment centers and connected lifestyle focal points in the coming decades.

Explora el reconocimiento de patrones y texto en imágenes usando OpenCV y Tesseract con Python. Aprende técnicas de visión artificial aplicables en industrias como automoción, robótica y procesamiento de datos.

Explore TinyML: machine learning on microcontrollers. Learn about hardware options, frameworks, and real-world applications in agriculture, health, ecology, and more using Python for embedded systems.

Discover the essentials of machine learning, neural networks, and reinforcement learning in this engaging talk. Gain practical insights and witness a mind-blowing demo to kickstart your ML journey.

Explore ethical challenges of emerging tech: autonomous vehicles, AI in healthcare, and combat drones. Discuss societal impacts and the need for proactive consideration of these issues.

Explore BYTON's ambitious plans for a revolutionary electric, autonomous, and smart car, set to launch next year, as the CEO discusses their products and global aspirations.

Explore the impact of self-driving cars on urban landscapes and the roadmap to their implementation, featuring insights from industry leaders in intelligent driving and transportation investment.

Explore NASA's decade-long development of intelligent robots for space missions, enhancing human-robot teamwork and efficiency in planetary exploration and beyond.

Explore neural networks' principles, applications, and real-life examples using MNIST dataset. Learn about convolutional networks and their use in image recognition and self-driving cars.

Explore autonomous robotics using Raspberry Pi to build Nyx, a self-sustaining exploration robot capable of long nautical journeys. Learn about electronics, telemetry, and software for DIY robotics projects.

Explore cutting-edge AI models LINGO and GAIA, revolutionizing autonomous driving with advanced language processing, visual interpretation, and realistic scenario generation for enhanced safety and decision-making.

Explore real-world scenario extraction for self-driving vehicles. Learn methods to analyze and structure time-series data, classify states and events, and assess traffic behavior for autonomous driving validation.

Discover how autonomous racing technology at speeds of 270kph translates to everyday vehicles, exploring open-source collaboration and ROS 2's role in advancing self-driving capabilities.

Explore the evolution of software-defined vehicles through Automotive Grade Linux's innovations, industry collaborations, and future roadmap for connected car technology and autonomous driving development.

Explore privacy-preserving federated learning techniques for autonomous vehicles using SUMO simulations, focusing on balancing data protection and predictive model performance.

Discover how to integrate SUMO and Unity platforms to create realistic traffic simulations, implementing pure pursuit control for enhanced vehicle behavior and improved simulation fidelity.