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Recently, a miniature deep-sea multi-modal robot jointly developed by Beihang University, the Institute of Deep-Sea Science and Engineering of the Chinese Academy of Sciences, and Zhejiang University, was successfully published in the top international academic journal Science Robotics. This robot has milestone significance in ocean exploration and scientific research, particularly in deep-sea applications. Measuring less than 50 centimeters long and weighing only 1500 grams, this remarkable robot can perform multi-modal movement at a depth of 10,000 meters. This means it can not only swim, but also glide and crawl, demonstrating exceptional capabilities.

Tesla has officially launched its City Driving Autopilot feature in China. The news quickly sparked discussion on X, marking another significant advancement for Tesla in China's intelligent driving sector. According to a statement released via WeChat, the Autopilot feature intelligently guides vehicles along navigation routes. User @imxiaohu posted on X that the function enables automatic navigation through ramps and intersections.

Microsoft recently announced a significant technological breakthrough, claiming that its newly developed chip could enable the construction of quantum computers within years instead of decades. The highlight of this chip lies in its use of the world's first topological conductor, a material that creates a new state of matter that is neither solid, liquid, nor gas. This innovation makes it possible to design quantum systems that can fit on a single chip, and the chip itself is smaller than a palm. Microsoft's research has been published in the Nature Journal, and numerous experts have expressed their...

In today's development of artificial intelligence (AI), the speed of data transmission has become a significant bottleneck hindering its progress. To break through this barrier, a research team led by the University of Michigan (U-M) is developing a brand new chip connection system that uses optical waves instead of traditional cables for data transmission. This innovation is expected to address the 'memory wall' problem that limits computational speed and promote further growth of AI models. The project has received a $2 million grant from the National Science Foundation's Future Semiconductor program, with participation from the University of Washington and Penn State.

Wall Street's 'barometer' has changed again! On Wednesday, Apple Inc. (AAPL)'s stock price surged like a wild horse, reaching a new intraday all-time high. The driving force behind this seems to be the hot AI technology! Doug Clinton, founder and CEO of Intelligent Alpha, acted like a 'detective', unraveling how artificial intelligence is propelling the tech giant's stock price to soar. He noted that investors are focusing on Apple's enormous potential in the AI field, signaling a promising future.

Recently, The Wall Street Journal has been conducting a new experiment by introducing AI-generated article summaries that appear at the top of news reports in the form of 'key points.' The first test of this feature appeared in a report about Trump's Department of Education plans. To validate the effectiveness of this new feature, The Wall Street Journal has opened feedback channels to understand users' actual needs. The content of these 'key point' summaries is generated by AI tools and edited before publication. The summary box clearly indicates this.

Dow Jones, the parent company of The Wall Street Journal, and the New York Post are suing AI-driven search startup Perplexity for using their news content to train its large language model. The publications from these two news groups accuse Perplexity of copyright infringement by generating answers to people's queries using their articles, thereby diverting traffic from the publications' websites. 'This lawsuit is brought by news publishers seeking compensation as Perplexity openly plans to provide services for free.'

Following the New York Times, the New York Post (NYP Holdings) and the Wall Street Journal (Dow Jones) have recently jointly filed a lawsuit against the AI company Perplexity AI in federal court in Manhattan, accusing it of 'mass illegal copying' of copyright works from these two media outlets. This AI startup, backed by Amazon founder Jeff Bezos, is facing serious copyright infringement charges. The lawsuit demands that Perplexity cease using these news articles to respond to queries.

Recently, the renowned media outlet The New York Times sent a cease-and-desist letter to an AI startup named Perplexity, demanding that the company stop using its content. This news was first reported by The Wall Street Journal and has drawn widespread attention. In fact, this is not the first time The New York Times has clashed with AI companies over content usage issues. Last year, the paper filed a lawsuit against OpenAI, accusing it of illegally using their content while training AI models.

Beijing Wall Intelligence Technology Co., Ltd. recently signed a strategic cooperation agreement with Great Wall Motors Co., Ltd. to deepen their collaboration in the research and application of large model technology in the automotive field. According to the agreement, Wall Intelligence will leverage its R&D and application capabilities in edge-side large model technology and combine them with Great Wall Motors' AI large model technology and data accumulation to promote the application and innovation of large model technology in automotive products. This collaboration is expected to bring new technological momentum to Great Wall Motors' smart mobility and user services, and enhance the user experience.

According to the Financial Times, BlackRock, one of the world's largest asset management companies, will collaborate with tech giant Microsoft and Abu Dhabi-backed investment firm MGX to launch a large AI fund exceeding $30 billion. The fund will primarily be used to build data centers and invest in energy infrastructure to meet the growing demand for AI computing. Additionally, chip giant NVIDIA will provide technical support for the fund to address the challenges posed by AI technology.

"MiniCPM-V2.6" is an edge-side multimodal artificial intelligence model that, with only 8B parameters, has achieved SOTA (State of the Art) results in single image, multiple images, and video understanding, all under 20B parameters, significantly enhancing edge AI's multimodal capabilities and being fully comparable to GPT-4V.

The Economist article highlights the 'data wall' challenge faced by AI companies due to the depletion of high-quality internet data, predicting that by 2028, all quality text data will be exhausted, hindering machine learning progress. Professor Stuart Russell from UC Berkeley warned that AI like ChatGPT could deplete textual content in the universe. However, Stanford's Professor Fei-Fei Li asserts that there is still a wealth of diverse data ava....

In this era of rapid advancement in artificial intelligence, how machines understand and "see" the world has remained a hot topic of research among scientists. Recently, a study published in the journal Nature Machine Intelligence has unveiled a novel approach—utilizing visual predictive coding to autonomously construct cognitive maps. This breakthrough is not only significant in the field of AI but also deepens our understanding of how machines simulate human visual perception. Within the brai

One of the major highlights of MiniCPM-Llama3-V2.5 is its efficient energy consumption. When running on mobile devices, it requires only 8GB of VRAM in combination with the NVIDIA GeForce RTX 4070 graphics card to achieve rapid inference and extremely fast operation speed. Additionally, the image encoding speed has been improved by 150 times, marking the first realization of system-level multimodal acceleration on the edge. Even more impressive, this model supports over 30 languages, providing robust support for multilingual environments.

Sora has several fatal flaws and cannot perfectly generate video content. Sora's training data comes from Shutterstock, with a data collaboration agreement with OpenAI. Sora has immense computational demands and will not be released to the market yet, aiming to reduce these requirements. Ultimately, Sora will generate videos with sound, with safety being a key focus area.