Recently, the Shenzhen Municipal Bureau of Industry and Information Technology officially issued several measures to build Shenzhen into a pioneer city for artificial intelligence, aimed at promoting the application and development of the AI industry. With an annual investment of up to 300 million yuan, the focus is on cutting-edge areas such as the mathematical principles of AI, infrastructure, core algorithms, as well as embodied intelligence, autonomous driving, and AI chips, to carry out fundamental research and tackle technological challenges. Among them, for demonstration application projects with promotional value, the city will provide subsidies of up to 30% based on the actual investment of the project construction entities, with a maximum limit.

Waymo, the autonomous driving division of Alphabet, has announced plans to launch tests of its self-driving car technology in Tokyo in early 2025. This will mark the first time the company's autonomous taxis operate on public roads outside of the United States. The expansion into Japan is part of Waymo's 'Road Trip' initiative, aimed at deploying its technology across multiple cities and conducting field tests, each facing unique challenges. In Tokyo, Waymo’s autonomous taxis will encounter different traffic conditions compared to the U.S., including left-side driving.

Tao Lin, Vice President of Tesla, issued a statement today reiterating the company's commitment to the development path of autonomous driving technology. Lin mentioned that several years ago, company founder Elon Musk determined that only through pure vision technology can we achieve safer and smarter fully autonomous driving. She explained that because existing road and traffic rules are designed based on human vision, the combination of cameras, visual neural networks, and autonomous driving hardware can best mimic human observation, perception, and decision-making habits, potentially reaching or even surpassing human driving capabilities.

Tesla recently confirmed through a job posting that it plans to establish a 'remote operations' team to remotely control its upcoming fleet of robotaxis. This move is an important step for Tesla in achieving its robotaxi service, while also drawing on the experiences of market leader Waymo. There are significant differences in autonomous driving strategies between Waymo and Tesla. Waymo employs various sensors, including cameras and LiDAR, to operate its already commercialized autonomous rideshare services in multiple markets.

The Traffic Police Division of the Pudong Branch of the Shanghai Public Security Bureau recently officially issued the first batch of identification plates designed specifically for autonomous driving equipment. The design features a combination of light blue and white with black text, starting with an abbreviation for the region followed by a combination of letters and numbers, and clearly labeled 'Autonomous Equipment' at the top. This marks a step towards the gradual integration of autonomous driving technology into the daily lives of the public. The issuance of identification plates for autonomous driving equipment is an important move for the development of smart traffic in Shanghai, and a significant milestone in the application of autonomous driving technology.

A remarkable startup is developing a groundbreaking AI system that promises to give creators unprecedented capabilities for generating cinematic worlds. The company, named Odyssey, employs a unique approach: having staff carry specialized camera systems to gather scene data from around the globe. Founded by autonomous driving experts Oliver Cameron and Jeff Hawke, Odyssey recently completed an $18 million Series A funding round led by EQT Ventures.

Recently, Jige Technology proposed a new framework called DriveDreamer4D, aimed at leveraging prior knowledge from world models to improve the reconstruction quality of 4D driving scenes. Traditional 4D scene reconstruction methods primarily rely on two main approaches: NeRF and 3DGS. NeRF is like a super painter, capable of rendering a collection of photos into a 3D model using neural networks. On the other hand, 3DGS simulates various objects in the scene using a set of three-dimensional Gaussian functions. However, both methods have their limitations.

On October 18, autonomous driving company Pony.ai submitted its initial public offering (IPO) prospectus to the U.S. Securities and Exchange Commission (SEC), planning to list on Nasdaq under the stock code 'PONY'. The main underwriters for this IPO include Goldman Sachs, Bank of America Merrill Lynch, Deutsche Bank, and Huatai Securities. According to public information, Pony.ai received approval from the China Securities Regulatory Commission for overseas issuance and listing in April this year, planning to issue no more than 98.1495 million ordinary shares. Pony.ai was founded in 201

This morning, Musk made a grand entrance wearing his leather jacket, riding in the Cybercab autonomous vehicle. The boast made years ago has finally come to fruition today. This futuristic model completely overturns traditional automotive design concepts by eliminating conventional controls like steering wheels, accelerators, and brakes, ushering in a new era of smart transportation. The Cybercab features a strikingly futuristic design with elegant butterfly doors. Although it only accommodates two passengers, its tech-savvy design is sure to attract a lot of attention.

At the Warner Bros. Studios in Burbank, California, Tesla's launch event themed "We, Robot" took place as scheduled, capturing the attention of tech enthusiasts worldwide. This highly anticipated event not only showcased Tesla's latest breakthroughs in autonomous driving but also marked a moment of fulfillment for CEO Elon Musk's long-standing promises. Image source: The star of the Tesla launch event—the Tesla Robotaxi finally unveiled its mystery. Musk personally arrived at the venue in a CyberCab, demonstrating the revolutionary vehicle in action.

At the 2024 China International Information and Communication Exhibition, Huawei once again showcased its innovative strength in the field of communication technology. Feng Zhishan, President of Huawei's Optical Access Division, delivered a speech at the forum "Accelerating the Commercialization of F5G-A 10Gb Optical Networks, Embracing New Opportunities in the Intelligent Era," painting a vivid picture of the booming optical broadband industry. With the rapid development of AI technology, various intelligent applications are emerging like mushrooms after rain, driving the optical broadband industry towards the 10Gb optical network. China's 10Gb optical network industry has entered a phase of large-scale explosion, with more than 10 provinces and cities nationwide implementing 10Gb optical network initiatives.

According to 36Kr, Xiaomi's automotive autonomous driving team recently completed a new round of organizational restructuring, marking the entry of Xiaomi's autonomous driving business into a new acceleration phase. The original two secondary departments, 'Perception' and 'Control', have been merged into the 'End-to-End Algorithm and Function Department', responsible for production-ready solution development. This change indicates that Xiaomi's autonomous driving will shift from traditional modular development to the technological route of large end-to-end models. The restructuring of Xiaomi's autonomous driving business and the shift in technological direction aim to capture user mindset and maintain high sales.

The once-celebrated autonomous truck startup TuSimple is undergoing a remarkable transformation, a shift that has left some shareholders perplexed and angry, and could potentially embroil the company in legal disputes again. The company is attempting to transfer approximately $450 million to China to support a new AI animation and video game company, sparking a fierce competition. TuSimple's transformation is astonishing. Founded in 2015 by Mo Chen and Xiaodi Hou, the company was once a star in the autonomous driving industry, backed by Chinese venture capital.