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At the 17th International Exhibition of Transportation Technology and Equipment held recently, JD Logistics officially launched its self-developed unmanned light truck product - JD Logistics VAN. This unmanned light truck has a large cargo space of 24 cubic meters, making it the one with the largest cargo capacity in the logistics industry. It is expected to replace traditional 4.2-meter trucks in logistics shuttle and transfer station links. According to the introduction, JD Logistics VAN has a full-load driving range of up to 400 kilometers and is equipped with L4-level autonomous driving capabilities on public roads. This means it can drive autonomously.

Recently, NVIDIA and CoreWeave announced that NVIDIA's latest artificial intelligence graphics processor, Blackwell Ultra, has been commercially deployed on CoreWeave. This news undoubtedly injects new vitality into AI cloud computing services. Dell also stated that CoreWeave has received customized devices based on the NVIDIA GB300NVL72AI system, marking CoreWeave as the first to install a Blackwe

In the new energy vehicle market, Xiaopeng Automotive has once again drawn attention. On July 3rd, the Xiaopeng G7 Ultra was officially launched, becoming the first intelligent vehicle equipped with the local-end "VLA+VLM" large model. This innovative technology marks an important step forward for Xiaopeng in the field of intelligent driving. The Xiaopeng G7 Ultra is equipped with the VLA (active thinking and rapid decision-making capability) large model, making the driving experience more intelligent. In daily driving, the G7 Ultra can flexibly handle various complex driving scenarios, such as in traffic.

Microsoft CEO Satya Nadella recently announced on a social platform that Microsoft has officially launched the revolutionary medical AI system MAI-DxO. This innovative system stands out with its unique "model-agnostic" design, allowing it to flexibly adapt to language models of different manufacturers and capabilities, thereby significantly improving their diagnostic performance. More excitingly, MAI-DxO is not only able to simulate the diagnostic process of real doctors, but also demonstrated diagnostic accuracy far exceeding that of professional physicians in tests, while greatly reducing the cost of medical diagnosis. Microsoft has released test data.

Tesla once again leads the automotive industry's technological revolution! Recently, Tesla released the world's first artificial intelligence (AI) full self-driving (FSD) delivery video from factory to customer's home, showcasing the latest breakthroughs in its autonomous driving technology. This 17-mile journey, lasting about 30 minutes, spans parking lots, highways, and city roads, ultimately delivering the vehicle accurately to the new owner's home. Full autonomous driving, a technological milestone. The video released by Tesla demonstrates the impressive performance of its FSD system in real-world scenarios. Starting from the factory, the car

A few days after launching limited autonomous taxi service in Austin, Tesla once again demonstrated the latest progress in its autonomous driving software. A Model Y SUV completed a 15-mile journey from the Tesla factory to a new owner's apartment building without any human intervention. CEO Elon Musk called it "the first customer car autonomous delivery." It is reported that this Model Y was equipped with the same software as the autonomous taxi in Austin, but was downgraded to the commercially available Full Self-Driving (supervised) version at the time of delivery.

Recently, AI security company XBOW announced that its self-developed AI tool XBOW has outperformed others on the globally renowned vulnerability testing platform HackerOne, ranking first in the United States. This is the first time an AI tool has surpassed human security researchers to top the HackerOne vulnerability disclosure ranking, marking a milestone breakthrough for AI in the field of vulnerability detection. XBOW AI: Pioneer of Fully Automated Penetration Testing XBOW's AI tool is a completely autonomous penetration testing (pentest) system that requires no human intervention.

A professional review that thoroughly analyzes how the AI call assistant from ChurchCalls.ai helps churches solve management challenges such as answering calls around the clock, collecting information, and intelligently transferring calls, thereby enhancing the communication efficiency of modern religious institutions.

A deep dive into how Eureka AI addresses three major pain points in R&D - information overload, innovation bottlenecks, and evaluation difficulties - through core features such as a technical Q&A assistant and TRIZ theory innovation. It provides end-to-end AI support solutions from concept to implementation.

A comprehensive analysis of MCP Stack's open-source marketing cloud platform functions, detailing its technical advantages in multi-channel integration, AI automated marketing, real-time data analysis, and providing implementation suggestions for enterprise-level marketing automation solutions.

Earth System Models are crucial tools for predicting environmental changes, helping us better prepare for the future. However, these models have extremely high computational demands, limiting their operation at fine enough resolutions. Currently, most models operate at a resolution of approximately 100 kilometers, equivalent to the size of Hawaii, making accurate predictions for specific regions difficult. Nevertheless, for practical applications such as agriculture, water resource planning, and disaster response, city-scale prediction accuracy around 10 kilometers is vital. Therefore, improving the resolution of these models is essential for better protection.

On the evening of June 11, XPeng Motor officially released its latest model - XPeng G7. This car is known as the world's first AI car with L3-level computing power. Its biggest highlight lies in the installation of XPeng’s self-developed Turing AI chip, which has a computational capability equivalent to three Orin-X chips, showcasing XPeng's technical advantages in the intelligent vehicle field. The XPeng G7 is equipped with a powerful 40-core processor that can run up to 30B simulation parameters and features two self-developed neural network processors.