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- Google employees revealed that the Python basic team was disbanded on the spot
- What? Google fired the entire Python foundation team? Everyone you work directly with, including your superiors, is being laid off - oh, positions are being cut, and you're being asked to onboard their replacements. These people were told they were in the same position in a different country and they weren't happy about it, it was a tough day. Thomas Wouters, who posted this news, is described as "Google employee, Python Steering Committee, release director of Python 3.12 and 3.13." This news alarmed many developers in the field, including Soumith Chintala, founder of PyTorch and outstanding Meta engineer: the most discussed reason was, of course, the reason for the cancellation.
- AI 873 2024-04-28 14:37:07
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- 'Building a safe galaxy together: The first AI security competition was grandly launched at the Zhongguancun Forum'
- At the 2024 Zhongguancun Forum Data Security Governance and Development Forum, a landmark event, the first Generative Artificial Intelligence Security Competition, officially kicked off. This competition is jointly sponsored by the Institute of Information Engineering, Chinese Academy of Sciences and the National Engineering Research Center for Information Security, under the joint guidance of the Beijing Internet Information Office and the Network Security and Informatization Leading Group Office of the Chinese Academy of Sciences. The competition aims to promote the exchange and innovation of security technology in the fields of artificial intelligence and informatization, and strengthen the cooperation between the Institute of Information Technology of the Chinese Academy of Sciences and the National Engineering Research Center for Information Security. Participants will demonstrate technical strength and innovation capabilities through technical offensive and defensive confrontations in the field of information content security, and contribute to the research results of the National Information Security Engineering Research Center and the National Information Content Security
- AI 346 2024-04-28 13:34:18
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- The most powerful domestic Sora at present! Tsinghua team breaks through 16-second long video, understands multi-lens language, and can simulate physical laws
- You said that the box should be filled with diamonds, so the box was filled with diamonds, which was even more dazzling than the real shot. What crew wouldn't like such skills? This is the "magic" presented by Adobe's video editing software PremierePro some time ago. This software introduces AI video tools such as Sora, Runway, and Pika to achieve the ability to add objects, remove objects, and generate video clips in videos. This is regarded as another technological innovation in the video field. From February when Sora swept the world to Adobe's magic again, overseas is in full swing. In contrast, China is still in a "waiting" state in the video field, especially in the direction of long video generation. Over the past two months, we've heard a number of claims to be going after Sora
- AI 1078 2024-04-28 13:04:01
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- The U.S. Department of Commerce publicly solicits comments and suggestions on GenAI data preparation
- Data is the core of artificial intelligence. Without good data, the likelihood of developing useful AI models is slim. With this in mind, the U.S. Department of Commerce last week issued a public request for input on how to better prepare numerous public data sets for building production artificial intelligence (GenAI) models. This public request addresses a critical issue currently facing the field of artificial intelligence: the lack of high-quality, diverse public datasets. These datasets are critical for training machine learning models, fostering innovation, and driving the development of AI applications. Through this public request, the Department hopes to gather input from all parties to better understand how to build and manage public data sets. They want to hear that the U.S. Department of Commerce issued on April 17
- AI 964 2024-04-28 11:52:10
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- Use Spring Boot and Spring AI to build generative artificial intelligence applications
- As an industry leader, Spring+AI provides leading solutions for various industries through its powerful, flexible API and advanced functions. In this topic, we will delve into the application examples of Spring+AI in various fields. Each case will show how Spring+AI meets specific needs, achieves goals, and extends these LESSONSLEARNED to a wider range of applications. I hope this topic can inspire you to understand and utilize the infinite possibilities of Spring+AI more deeply. The Spring framework has a history of more than 20 years in the field of software development, and it has been 10 years since the Spring Boot 1.0 version was released. Now, no one can dispute that Spring
- AI 612 2024-04-28 11:46:01
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- Alibaba's intelligent 'assembly factory” is open source! 0 experience to handle tens of thousands of agents concurrently
- Making multi-agent development like building blocks, Alibaba Tongyi Lab’s open source multi-agent programming framework and development platform AgentScope. The platform is specially built for multi-agent application developers, aiming to provide a highly easy-to-use programming experience, stable and reliable runtime guarantees, and provides developers with distributed and multi-modal technical support. It has built-in model APIs for various platforms such as OpenAI, DashScope, Gemini, Ollama, etc., and is deeply compatible with the current large model open source ecosystem. AgentScope provides a variety of out-of-the-box functions, allowing you to build multi-agent applications by simply dragging and dropping. Even developers without distributed development experience can easily implement it on the AgentScope platform
- AI 768 2024-04-28 11:40:26
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- Why are humanoid robots so popular?
- With the rapid advancement of technology and the integration of artificial intelligence (AI) in many aspects of our lives, humanoid robots have become a new and popular innovation. Due to their ability to interact, learn, and perform tasks autonomously, these humanoid robots are increasingly in demand across a variety of industries, including entertainment, hospitality, healthcare, and education. This article reveals why humanoid robots are needed. Why are humanoid robots needed? To understand this is to understand what is driving their demand. One reason is their ability to augment and automate human labor, humanoid robots are transforming industries and are in high demand. As artificial intelligence, advanced machinery and sensor technology develop, these robots will become more sophisticated and capable of tasks normally performed by humans. For example, well-equipped
- AI 899 2024-04-28 11:37:33
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- Llama 3 low-bit quantization performance drops significantly! Comprehensive assessment results are here | HKU & Beihang University & ETH
- The power of large models has made LLaMA3 reach new heights: it has achieved impressive performance improvements on the 15T+Token data that has been pre-trained on a very large scale, and it has once again ignited discussions in the open source community because it far exceeded the recommended volume of Chinchilla. . At the same time, at the practical application level, another hot topic has also surfaced: What will be the quantitative performance of LLaMA3 in scenarios with limited resources? The University of Hong Kong, Beijing University of Aeronautics and Astronautics, and Federal Institute of Technology Zurich jointly launched an empirical study that comprehensively revealed the low-bit quantization capabilities of LLaMA3. Using 10 existing post-training quantized LoRA fine-tuning methods, the researchers evaluated the results of LLaMA3 with 1-8 bits and various evaluation datasets.
- AI 811 2024-04-28 09:01:12
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- CVPR 2024 | Good at processing complex scenes and language expressions, Tsinghua & Bosch proposed a new instance segmentation network architecture MagNet
- The AIxiv column is a column where this site publishes academic and technical content. In the past few years, the AIxiv column of this site has received more than 2,000 reports, covering top laboratories from major universities and companies around the world, effectively promoting academic exchanges and dissemination. If you have excellent work that you want to share, please feel free to contribute or contact us for reporting. Submission email: liyazhou@jiqizhixin.com; zhaoyunfeng@jiqizhixin.com. Referring Image Segmentation (RIS) is a very challenging multi-modal task that requires the algorithm to simultaneously understand fine human language and visual image information, and to identify the objects referred to by sentences in the image.
- AI 710 2024-04-26 18:10:01
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- Ten limitations of artificial intelligence
- In the field of technological innovation, artificial intelligence (AI) is one of the most transformative and promising developments of our time. Artificial intelligence has revolutionized many industries, from healthcare and finance to transportation and entertainment, with its ability to analyze large amounts of data, learn from patterns, and make intelligent decisions. However, despite its remarkable progress, AI also faces significant limitations and challenges that prevent it from reaching its full potential. In this article, we will delve into the top ten limitations of artificial intelligence, revealing the limitations faced by developers, researchers, and practitioners in this field. By understanding these challenges, it is possible to navigate the complexities of AI development, reduce risks, and pave the way for responsible and ethical advancement of AI technology. Limited data availability: The development of artificial intelligence depends on data
- AI 783 2024-04-26 17:52:01
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- Ten methods in AI risk discovery
- Beyond chatbots or personalized recommendations, AI’s powerful ability to predict and eliminate risks is gaining momentum in organizations. As massive amounts of data proliferate and regulations tighten, traditional risk assessment tools are struggling under the pressure. Artificial intelligence technology can quickly analyze and supervise the collection of large amounts of data, allowing risk assessment tools to be improved under compression. By using technologies such as machine learning and deep learning, AI can identify and predict potential risks and provide timely recommendations. Against this backdrop, leveraging AI’s risk management capabilities can ensure compliance with changing regulations and proactively respond to unforeseen threats. Leveraging AI to tackle the complexities of risk management may seem alarming, but for those passionate about staying on top in the digital race
- AI 416 2024-04-26 17:25:19
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- Andrew Ng: Multi-agent collaboration is the new key, and tasks such as software development will be more efficient
- Not long ago, Stanford University professor Andrew Ng mentioned the huge potential of intelligent agents in his speech, which also caused a lot of discussion. Among them, Ng Enda said that the agent workflow built based on GPT-3.5 performs better in applications than GPT-4. This shows that it is not necessarily advisable to limit one's sights to large models, and that the agent may be better than the base model it uses. In the field of software development, these agents have demonstrated their unique ability to collaborate efficiently, handle complex problems in programming, and even perform automatic code generation. The latest technology trends show that AI smart communication has great potential in software development. Remember Devin? Known as the world's first AI software engineer, it amazed us when it came out. An intelligent agent can bring us such
- AI 866 2024-04-26 17:20:10
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- What are edge artificial intelligence and edge computing?
- Edge AI is one of the most noteworthy new areas in artificial intelligence, allowing people to run artificial intelligence processes without having to worry about privacy or data transfer slowdowns. Edge AI is making the use of artificial intelligence wider and more widespread, allowing smart devices to respond quickly to input without accessing the cloud. While this is a quick definition of edge AI, let’s take a moment to better understand edge AI by exploring some use cases. First, edge AI has widespread applications in the healthcare industry. For example, integrating edge AI on monitoring devices can more accurately monitor and analyze patients’ vital signs and respond immediately when needed. This capability can increase the efficiency of healthcare while also reliably handling sensitive personal numbers
- AI 833 2024-04-26 17:10:10
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- Under the leadership of Yan Shuicheng, Kunlun Wanwei 2050 Global Research Institute jointly released Vitron with NUS and NTU, establishing the ultimate form of general visual multi-modal large models.
- Recently, led by Professor Yan Shuicheng, the Kunlun World Vision 2050 Global Research Institute, the National University of Singapore, and the Nanyang Technological University of Singapore team jointly released and open sourced the Vitron universal pixel-level visual multi-modal large language model. This is a heavy-duty general-purpose visual multi-modal large model that supports a series of visual tasks from visual understanding to visual generation, from low-level to high-level, and solves the image/video model separation that has plagued the large language model industry for a long time. problem, it provides a pixel-level universal visual multi-modal model that comprehensively unifies the tasks of understanding, generating, segmenting, and editing static images and dynamic video content. It lays the foundation for the ultimate form of the next generation of universal visual models and also marks the Another big step towards general artificial intelligence (AGI) with large models. Vi
- AI 592 2024-04-26 17:00:30
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- What LinkedIn learned from using large language models to serve its billion users
- With more than 1 billion users worldwide, LinkedIn continues to challenge the limits of today's enterprise technology. Few companies operate quite like LinkedIn, or have similarly vast data resources. This business and employment-focused social media platform connects qualified candidates with potential employers, and helping fill job vacancies is its core business. It is also important to ensure that posts on the platform reflect the needs of employers and consumers. Under LinkedIn's model, these matching processes have always relied on technology. By the summer of 2023, when GenAI was first gaining steam, LinkedIn began to consider whether to leverage large language models (LLMs) to match candidates with employers and make the flow of information more useful. therefore,
- AI 430 2024-04-26 16:49:11