SHANGHAI, Jan. 18 (Xinhua) — A liquefied natural gas (LNG) dual-fuel “ro-ro” (roll-on/roll-off) cargo vessel departed Shanghai on its maiden voyage to Europe on Wednesday, transporting about 5,000 cars of indigenous Chinese brands and some construction machinery.
The vessel, measuring 200 meters in length and 38 meters in width, with a capacity of carrying 7,600 cars, is the largest serving clean-energy “ro-ro” ship in terms of loading capacity that has been invested and built by Chinese ship builders.
The duel-fuel design allows the vessel to be powered by LNG, low sulfur fuel oil or the traditional light diesel, which helps reduce the vessel’s carbon emissions by about 30 percent compared to traditional car-carrying “ro-ro” ships, said Jin Qi, general manager of the SAIC Anji Logistics Co., Ltd.
On a round trip to Europe, for example, the total carbon emissions could be reduced by 1,300 tonnes, Jin said, adding that the vessel is expected to ship about 30,000 indigenous cars abroad annually in the future.
In light of the robust demand for shipping Chinese new-energy cars abroad, the vessel was designed to meet the safety needs of shipping new-energy cars and, potentially, hydrogen-fueled vehicles and natural gas vehicles, Jin said.
New-generation large language model released in Shanghai
SHANGHAI, Jan. 18 (Xinhua) — A new-generation large language model, capable of accepting and processing about 300,000 Chinese characters at one time, was released in Shanghai on Wednesday.
The limited context length of large models is a significant problem in artificial intelligence.
The new model, InternLM2, was developed by the Shanghai Artificial Intelligence Laboratory, SenseTime, the Chinese University of Hong Kong, and Fudan University.
In an experiment, the researchers fed the model a three-hour public meeting transcript and asked it to extract salient information.
The test results showed that although there were many typos in the unproofread text, InternLM2 can accurately extract key information and summarize the speaker’s main points.
The developers aim to advance the language modeling ability of the model base by improving the corpus quality and information density.
The Shanghai Artificial Intelligence Laboratory said that it continues to license InternLM2 for free commercial use.