From the perspective of the two major markets of the United States and China, the autonomous driving industry has fallen into a low tide in recent years. For example, last year, Cruise Origin, one of the twin stars of Silicon Valley autonomous driving companies and once valued at more than $30 billion, failed completely, its Robotaxi (driverless taxi) operation qualification was revoked, and autonomous driving models have been discontinued. However, as a new track with the deep integration of digital economy and real economy, automatic driving is a must answer: on the one hand, automatic driving will accelerate the process of technology commercialization and industrialization, and become an important part of the game of major powers; On the other hand, autonomous driving will also promote industrial transformation and upgrading by improving the mass travel service experience, seeking new engines for urban development, and injecting new vitality into the urban economy.

The U.S. Navy's Pacific Fleet announced on Wednesday (May 22) that the 2024 Rim of the Pacific Exercise (RIMPAC 2024) is expected to take place on June 26, with 29 countries participating in and around the Hawaiian Islands, a larger lineup than the previous exercise in 2022. The Philippines, which has had multiple maritime conflicts with China recently, and Japan, which has tense diplomatic relations with China, will send troops to participate. China has been excluded from participating in the international military exercise since 2018, and its aggressive actions and reactions are causing tensions in the Pacific region to continue to rise. The biennial Rim of the Pacific military exercise is the world's largest international maritime exercise. The U.S. Navy said that the exercise will last until August 2, and it is expected to involve 29 countries, 40 surface ships, 3 submarines, 14 countries' army forces, more than 150 aircraft and more than 25,000 personnel. The U.S. Navy said that the theme of the 29th RIMPAC 2024 is "Partners: Integrated and Ready", emphasizing inclusiveness as the core, promoting multinational cooperation and trust, and using military interoperability to achieve their respective national goals to strengthen integrated and ready alliance partners. Its goal is to "enhance collective strength and promote a free and open Indo-Pacific region" through joint training and operations. The 29 countries participating in the exercise this year include Australia, Belgium, Brazil, Brunei, Canada, Chile, Colombia, Denmark, Ecuador, France, Germany, India, Indonesia, Israel, Italy, Japan, Malaysia, Mexico, the Netherlands, New Zealand, Peru, South Korea, the Philippines, Singapore, Sri Lanka, Thailand, Tonga, the United Kingdom and the United States. Compared with the 28th RIMPAC held in 2022, which involved 26 countries, 38 surface ships, 4 submarines, 9 countries' army forces, more than 170 aircraft, and about 25,000 officers and soldiers, the number of countries, ships and army forces participating in this exercise has increased. The countries participating in this year's RIMPAC military exercise include all members of the Quadrilateral Security Dialogue (QUAD) between the United States, Japan, India and Australia, and the Australia-UK-US Trilateral Security Partnership (AUKUS), as in the previous exercise. In addition, countries surrounding the South China Sea and the South Pacific island nation of Tonga are also participating. Many analysts believe that the military exercise itself is sending a message to China: China's expansion in the Western Pacific region will be blocked and defeated. The United States invited China to participate in the RIMPAC military exercise twice in 2014 and 2016. In 2018, due to China's expansion in the South China Sea, the United States withdrew its invitation to China. In addition, despite Taiwan's repeated willingness to participate, Taiwan is still not included in the 29 countries participating in this year's RIMPAC military exercise. Analysts pointed out that the US-led RIMPAC military exercise is intended to unite allies to militarily intimidate China. If Taiwan is invited to join, it will be too provocative to China, which will not only aggravate the tension between the United States and China, but also embarrass some allies. The U.S. Navy said the commander of the U.S. Third Fleet will serve as the commander of the joint task force for the exercise, while Chilean Navy Commodore Alberto Guerrero will serve as deputy commander of the joint task force, which is a first in the history of the RIMPAC military exercise. In addition, Japan Maritime Self-Defense Force Rear Admiral Kazushi Yokota will also serve as deputy commander. Other key leaders of the multinational force exercise include Canadian Commodore Kristjan Monaghan, who will command the maritime forces, and Australian Air Force Commodore Louise Desjardins, who will command the air forces. According to the U.S. Stars and Stripes, Vice Admiral Michael Boyle is currently the commander of the U.S. Third Fleet. Vice Admiral John Wade has been nominated to replace Boyle. The U.S. Navy press release said the exercise will enhance the ability of international joint forces to "deter and defeat aggression by major powers in all domains and conflict levels," but did not provide specific information on which exercises will be held this summer. Previous RIMPAC training exercises have included sinking ships at sea with missiles, amphibious landings and the first landing of a Marine Corps Osprey aircraft on an Australian ship.

July 9 (Reuters) - Futures linked to Canada's main stock index rose on the back of metal prices on Tuesday, while investors awaited U.S. Federal Reserve Chair Jerome Powell's congressional testimony on monetary policy later in the day. The S&P/TSX 60 futures were up 0.25% by 06:28 a.m. ET (1028 GMT). The Toronto Stock Exchange's materials sector was set to re Oil futures , dipped as fears over supply disruption eased after Hurricane Beryl, which hit major refineries along with the U.S. Gulf Coast, caused minimal impact. Markets will be heavily focussed on Powell's two-day monetary policy testimony before the Senate Banking Committee, starting at 10 a.m. ET (1400 GMT), which can help investors gauge the Fed's rate-cut path. Following last week's softer jobs data, market participants are now pricing in a 77% chance of a rate cut by the U.S. central bank in September. The main macro event for the markets this week will be the U.S. consumer prices data due on Thursday, which can help assess the trajectory of inflation in the world' biggest economy. Wall Street futures were also up on Tuesday after the S&P 500 (.SPX), opens new tab and Nasdaq (.IXIC), opens new tab touched record closing highs in the previous session. In Canada, fears of the economy slipping into recession advanced after the latest data showed that the unemployment rate rose to a 29-month high in June. Traders are now pricing in a 65% chance of another cut by the Bank of Canada, which already trimmed interest rates last month. In corporate news, Cenovus Energy (CVE.TO), opens new tab said it is demobilizing some staff at its Sunrise oil sands project in northern Alberta as a precaution due to the evolving wildfire situation in the area.

The UAE insurance sector continued to grow in Q4-2023, as reflected by increase in the gross written premiums. As of year-end, the number of licensed insurance companies in the UAE remained at 60, according to the Central Bank of the UAE's (CBUAE) Quarterly Economic Review (Q4-2023). The insurance sector comprised 23 traditional national companies, 10 Takaful national and 27 foreign companies, while the number of insurance related professions remained at 491. The review on insurance sector structure and activity showed that the gross written premium increased by 12.7% Y-o-Y in Q4 2023 to AED 53.2 billion, mostly due to an increase in health insurance premiums by 16.5% Y-o-Y and an increase in property and liability insurance premiums by 18.9% Y-o-Y, while the insurance of persons and fund accumulation premiums decreased by 12.4% Y-o-Y, resulting primarily from decrease in individual life premiums. Gross paid claims of all types of insurance plans increased by 12.8% Y-o-Y to AED 31.1 billion at the end of 2023. This was mainly driven by the increase in claims paid in health insurance by 16.9% Y-o-Y and increase in paid claims in property and liability insurance by 10.9% Y-o-Y, partially offset by the decline in claims paid in insurance of persons and fund accumulation by 2.8% Y-o-Y. The total technical provisions of all types of insurance increased by 8.4% Y-o-Y to AED 74.4 billion in Q4 2023 compared to AED68.6 billion in Q4 2022. The volume of invested assets in the insurance sector amounted to AED 76 billion (60.4% of total assets) in Q4 2023 compared to AED 71.4 billion (59.4% of total assets) in Q4 2022. The retention ratio of written insurance premiums for all types of insurance was 52.9 % (AED 28.1 billion) in Q4 2023, compared to 54.9% (AED 25.9 billion) at the end of 2022. The UAE insurance sector remained well capitalized in terms of early warning ratios and risk assessment. Own funds to minimum capital requirement ratio increased to 335.7% in Q4 2023, compared to 309.3% at the end of 2022, due to an increase in own funds eligible to meet the minimum capital requirements. Also, own funds to solvency capital requirement ratio rose to 221% in Q4 2023 compared to 208.5% in Q4 2022, due to an increase in own funds eligible to meet solvency capital requirements. Finally, own funds to minimum guarantee fund ratio reached to 316.3% at the end of 2023 down from 314.6% a year earlier, due to higher eligible funds to meet minimum guarantee funds. In terms of profitability, the net total profit to net written premiums increased to 6.5% in Q4 2023, compared to 2.9% at the end of 2022. The return on average assets increased to 0.3% in Q4 2023 compared to the 0.1% at the of the previous year.

An artificial intelligence (AI) team at Stanford University apologized for plagiarizing a large language model (LLM) from a Chinese AI company, which became a trending topic on the Chinese social media platforms, where it sparked concern among netizens on Tuesday. We apologize to the authors of MiniCPM [the AI model developed by a Chinese company] for any inconvenience that we caused for not doing the full diligence to verify and peer review the novelty of this work, the multimodal AI model Llama3-V's developers wrote in a post on social platform X. The apology came after the team from Stanford University announced Llama3-V on May 29, claiming it had comparable performance to GPT4-V and other models with the capability to train for less than $500. According to media reports, the announcement published by one of the team members quickly received more than 300,000 views. However, some netizens from X found and listed evidence of how the Llama3-V project code was reformatted and similar to MiniCPM-Llama3-V 2.5, an LLM developed by a Chinese technology company, ModelBest, and Tsinghua University. Two team members, Aksh Garg and Siddharth Sharma, reposted a netizen's query and apologized on Monday, while claiming that their role was to promote the model on Medium and X (formerly Twitter), and that they had been unable to contact the member who wrote the code for the project. They looked at recent papers to validate the novelty of the work but had not been informed of or were aware of any of the work by Open Lab for Big Model Base, which was founded by the Natural Language Processing Lab at Tsinghua University and ModelBest, according to their responses. They noted that they have taken all references to Llama3-V down in respect to the original work. In response, Liu Zhiyuan, chief scientist at ModelBest, spoke out on the Chinese social media platform Zhihu, saying that the Llama3-V team failed to comply with open-source protocols for respecting and honoring the achievements of previous researchers, thus seriously undermining the cornerstone of open-source sharing. According to a screenshot leaked online, Li Dahai, CEO of ModelBest, also made a post on his WeChat moment, saying that the two models were verified to have highly similarity in terms of providing answers and even the same errors, and that some relevant data had not yet been released to the public. He said the team hopes that their work will receive more attention and recognition, but not in this way. He also called for an open, cooperative and trusting community environment. Director of the Stanford Artificial Intelligence Laboratory Christopher Manning also responded to Garg's explanation on Sunday, commenting "How not to own your mistakes!" on X. As the incident became a trending topic on Sina Weibo, Chinese netizens commented that academic research should be factual, but the incident also proves that the technology development in China is progressing. Global Times