Samsung Electronics expects its profits for the three months to June 2024 to jump 15-fold compared to the same period last year. An artificial intelligence (AI) boom has lifted the prices of advanced chips, driving up the firm's forecast for the second quarter. The South Korean tech giant is the world's largest maker of memory chips, smartphones and televisions. The announcement pushed Samsung shares up more than 2% during early trading hours in Seoul. The firm also reported a more than 10-fold jump in its profits for the first three months of this year. In this quarter, it said it is expecting its profit to rise to 10.4tn won ($7.54bn; £5.9bn), from 670bn won last year. That surpasses analysts' forecasts of 8.8tn won, according to LSEG SmartEstimate. "Right now we are seeing skyrocketing demand for AI chips in data centers and smartphones," said Marc Einstein, chief analyst at Tokyo-based research and advisory firm ITR Corporation. Optimism about AI is one reason for the broader market rally over the last year, which pushed the S&P 500 and the Nasdaq in the United States to new records on Wednesday. The market value of chip-making giant Nvidia surged past $3tn last month, briefly holding the top spot as the world's most valuable company. "The AI boom which massively boosted Nvidia is also boosting Samsung's earnings and indeed those of the entire sector," Mr Einstein added. Samsung Electronics is the flagship unit of South Korean conglomerate Samsung Group. Next week, the tech company faces a possible three-day strike, which is expected to start on Monday. A union of workers is demanding a more transparent system for bonuses and time off.

RS e-tron GT: Shares J1 platform with Porsche Taycan. The iconic closed hexagonal "big mouth" is quite a brand recognition, and the rear of the car uses a decorative design shaped like a diffuser. Although the difference between it and the regular e-tron GT is very limited, the "RS" nameplate on the rear of the car means that it is not an ordinary person, of course, low-key is also the style of AUD-Sport. The center console continues the family design of the Audi brand, the lines are simple and refined, and the center control screen, the front air conditioning control panel and the function keys below are obviously tilted to the driver's side, echoing the product positioning of the driver's car. Sports seats, leather fabrics with red stitches, etc. appear in the configuration table of the car, rendering the interior sports atmosphere just right, and the overall beauty of the cabin has been affirmed by the reviewers. Although the official model of the cockpit chip selected by the car has not been announced, it has a high score in the evaluation items such as the cold start speed of the car, the start speed of the core application and the navigation search speed, which shows that the car performance is good. In addition, in terms of specifications and accuracy, the car received full marks in the touch accuracy and screen sharpness evaluation, and the daily high-frequency interaction experience is excellent. Of course, if you optimize the voice car control ability, its intelligent experience will be a higher level.

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.

China is mulling over establishing a Brain-Computer Interface (BCI) standardization technical committee under its Ministry of Industry and Information Technology (MIIT), aiming to guide enterprises to enhance industrial standards and boost domestic innovation. The proposed committee, revealed by the MIIT on Monday, will work on composing a BCI standards roadmap for the entire industry development as well as the standards for the research and development of the key technologies involved, according to the MIIT. China has taken strides in developing the BCI industry over the years, not only providing abundant policy support but also generous financial investment, Li Wenyu, secretary of the Brain-Computer Interface Industrial Alliance, told the Global Times. From last year to 2024, both the central and local governments have successively issued relevant policies to support industrial development. The MIIT in 2023 rolled out a plan selecting and promoting a group of units with strong innovation capabilities to break through landmark technological products and accelerate the application of new technologies and products. The Beijing local government also released an action plan to accelerate the industry in the capital (2024-2030) this year. In 2023, there were no fewer than 20 publicly disclosed financing events for BCI companies in China, with a total disclosed amount exceeding 150 million yuan ($20.6 million), Li said. “The strong support from the government has injected momentum into industrial innovation.” The fact that China's BCI industry started later than Western countries such as the US is a reality, leading to the gap in China regarding technological breakthroughs, industrial synergy, and talent development, according to Li. To further close gaps and solve bottlenecks in BCI industrial development, Li suggested that the industry explore various technological approaches to suit different application scenarios and encourage more medical facilities powered by BCI to initiate clinical trials by optimizing the development of BCI-related ethics. Additionally, he highlighted that standard development is one of the aspects to enhance the overall level and competitiveness of the industry chain, which could, in turn, empower domestic BCI innovation. While China's BCI technology generally lags behind leading countries like the US in terms of system integration and clinical application, this has not hindered the release of Neucyber, which stands as China's first "high-performance invasive BCI." Neucyber, an invasive implanted BCI technology, was independently developed by Chinese scientists from the Chinese Institute for Brain Research in Beijing. Li Yuan, Business Development Director of Beijing Xinzhida Neurotechnology, the company that co-developed this BCI system, told the Global Times that the breakthrough of Neucyber could not have been achieved without the efforts of the institute gathering superior resources from various teams in Beijing. A group of mature talents were gathered within the institute, from specific fields involving electrodes, chips, algorithms, software, and materials, Li Yuan said. Shrugging off the outside world's focus on China’s competition with the US in this regard, Li Yuan said her team doesn’t want to be imaginative and talk too much, but strives to produce a set of products step by step that can be useful in actual applications. In addition, Li Wenyu also attributed the emergence of Neucyber to the independent research atmosphere and the well-established talent nurturing mechanism in the Chinese Institute for Brain Research. He said that to advance China’s BCI industry, it is necessary not only to cultivate domestic talents but also to introduce foreign talents to enhance China's research and innovation capabilities. The proposed plan for establishing the BCI standardization technical committee under the MIIT will solicit public opinions until July 30, 2024.

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