OpenAI co-founder Ilya Sutskever recently stated that artificial intelligence researchers must find new ways to scale machine intelligence to overcome current limitations. Sutskever delivered a talk at the 2024 Neural Information Processing Systems (NeurIPS) conference in Vancouver, Canada, where he suggested that the era of AI pre-training is nearing its end and predicted the emergence of superintelligent AI. Sutskever believes that through better hardware, software, and machine...

On the imaginative edge of the internet, certain creatives can instantly ignite people's resonance. Recently, Xiaohongshu blogger "DIGIT.AI" redefined the concept of pain cars using AI technology, garnering nearly 30,000 likes and blurring the lines between virtual and reality. Pain cars, a subcultural concept originating from Japan, were originally an alternative expression of decorating car bodies with anime characters. Now, with the magic of AI, it is redefining visual creativity in an unprecedented manner. For example, AI-generated dynamic images of Pingu the Penguin perfectly blend with the streets of Shanghai.

In recent years, non-destructive imaging technology has made rapid advancements in the field of painting research and preservation. Among these, macro X-ray fluorescence (MA-XRF) analysis stands out, helping experts identify pigments and analyze painting techniques, providing valuable insights into the artist's creative process. However, MA-XRF technology generates large and complex datasets that challenge traditional data analysis methods. Recently, Italian researchers applied deep learning algorithms to spectral analysis of MA-XRF datasets, developing a brand new analysis approach.

According to 36Kr, Xiaomi's automotive autonomous driving team recently completed a new round of organizational restructuring, marking the entry of Xiaomi's autonomous driving business into a new acceleration phase. The original two secondary departments, 'Perception' and 'Control', have been merged into the 'End-to-End Algorithm and Function Department', responsible for production-ready solution development. This change indicates that Xiaomi's autonomous driving will shift from traditional modular development to the technological route of large end-to-end models. The restructuring of Xiaomi's autonomous driving business and the shift in technological direction aim to capture user mindset and maintain high sales.

At the 'All-In Summit 2024', Google co-founder and former Alphabet president Sergey Brin expressed his excitement about the latest advancements in AI and stated that he is working at Google almost every day. Brin confirmed his return to Google's headquarters last year to participate in AI projects, emphasizing the value of the rapid development in the AI field. He noted that algorithm improvements may have already surpassed the increase in computational power requirements, maintaining an optimistic view on AI and believing that future AI model training will not require a significant increase in computational capabilities. Brin's return has implications for Google's future development and AI.

Zhejiang University and the University of Texas developed an AI algorithm that accurately predicts earthquakes in China, forecasting 14 quakes within a 300 km range a week in advance with a 70% accuracy rate, including intensity calculations. This breakthrough offers new hope for earthquake warning and disaster response. While global application of the algorithm remains uncertain, scientists are optimistic about improving prediction accuracy and ....

Melodisco is an open-source AI music player that focuses on personalized music experiences. It features a collection of 300,000 AI songs, with capabilities for AI music generation, smart recommendations, and diverse playlist management. Users can explore charts like the trending, popular, and new release charts, and use random roaming to discover new songs. It supports song favorites, recent play history, and import and share functionalities. In terms of player component design, it offers sequential, random, and single-loop play modes, along with progress and volume control. It integrates the Stripe payment system and supports Vercel and Dock.

PaddleOCR v2.8.0发布，集前沿技术、优化项目结构、解决历史问题与增强性能于一体，树立OCR领域新标准。版本亮点包括冠军算法SVTRv2与SLANet-LCNetV2，优化算法及更新，修复关键问题，引入符合PEP518规范的教程站点。感谢社区支持，PM成员与贡献者功不可没。开发者可通过访问项目地址【https://github.com/PaddlePaddle/PaddleOCR】获取更多资源与信息。

Claude 3 scored as high as 101 on the IQ test, outperforming GPT-4. Claude 3 has discovered a quantum algorithm that has not yet been released by physicists. Claude 3 demonstrates superior performance and can engage in scientific research. Claude 3 Opus reinvents quantum algorithms from scratch through prompts. Claude 3 excels in various tests, surpassing models like GPT-4. Claude 3 Opus showcases the evolution of self-understanding in self-portrait creation.

Ant Group has released Kapacity V0.2, an intelligent cloud capacity technology tool that incorporates self-developed AI algorithms. It offers advantages in predictive elasticity scaling, allowing for proactive responses to traffic fluctuations. Kapacity uses a traffic-driven replica prediction algorithm and also provides support for custom metrics and workload dimension aggregation query capabilities.

["The U.S. government plans to introduce new regulations requiring the evaluation of algorithms used in healthcare, law enforcement, and housing to prevent potential discrimination or other negative impacts on human rights.", "The new regulations may force the U.S. government to make changes in AI, such as the facial recognition technology used by the FBI, which has faced criticism for not implementing measures required by Congress to protect civil liberties.", "The new regulations will require government agencies to evaluate existing algorithms by August 2024 and discontinue the use of algorithms that do not comply with the regulations."]

Innovative design approach: using machine learning algorithms to optimize the parameter design of tactile sensors, achieving an organic combination of design and algorithms. Technical highlights: support vector machine algorithms optimize design parameters for accurate recognition of various touch patterns. Application prospects: shorten the R&D cycle, reduce costs, and expand human-computer interaction applications.