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...

According to reports from Intelligent Emergence, Jiang Xu, the former senior algorithm lead at OpenAI, has announced the establishment of a new company, Light Robotics, focused on the development of embodied smart companion robots. Jiang Xu is a key contributor to GPT-4 and left OpenAI in 2023, founding Light Robotics in August of the same year. Image credit: Image generated by AI, image licensed through Midjourney. Throughout his career at OpenAI, Jiang Xu participated in several important projects.

Red Hat recently released the latest version 1.3 of its enterprise-grade Linux AI platform, RHEL AI, which adds support for IBM's Granite large language model (LLM) and previews support for the Intel Gaudi 3 accelerator. This update brings more opportunities for Red Hat's service partners and system integrators to help enterprises explore and integrate AI applications more effectively. Joe Fernandez, Vice President and General Manager of Red Hat's AI business unit, stated that

OpenAI announced the highly anticipated product, Sora Turbo, during today's live stream, marking a significant breakthrough in the field of generative AI for 2024. Sora Turbo's generation efficiency has significantly improved, allowing for direct generation of up to 20 seconds of 1080P video from text, making it one of the highest duration video models in the world. This model supports input of text along with images or videos, generating specific video content and making the generation results more controllable.

Alibaba's Damo Academy Tongyi Lab recently announced the open sourcing of a voice processing technology called ClearerVoice-Studio, aimed at enhancing voice quality and intelligibility. As voice technology becomes more widely used, voice quality is gaining increasing attention, especially in situations involving background noise, reverberation, and device pickup, leading to a growing demand for voice processing technology.

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.

Xiaomi today revealed the imaging configuration details of the REDMI K80 series smartphones, marking a comprehensive upgrade in photography capabilities for this series. The REDMI K80 series will feature a flagship high dynamic main camera (Light and Shadow Hunter 800 sensor, supporting OIS optical stabilization), a flagship floating telephoto lens (50MP) and a high pixel ultra-wide angle lens (32MP), to meet users' demands for high-quality photography.

Generating high-quality, temporally continuous videos requires a significant amount of computational resources, especially for longer time spans. The latest Diffusion Transformer model (DiTs) has made significant progress in video generation, but its reliance on larger models and more complex attention mechanisms has resulted in slower inference speeds, exacerbating the challenge. To address this issue, researchers at Meta AI have proposed a training-free method called AdaCache to accelerate video DiTs.

On October 31, ByteDance quietly launched an AI model sharing community platform called 'Lumi'. The platform is reported to offer features such as model upload and sharing, workflow building, and LoRA training. It is currently in the internal testing phase and is only accessible to whitelisted users.

Beijing Aishi Technology Co., Ltd. has announced the global release of its latest version of the video generation large model, PixVerse V3. This version has made significant improvements in its underlying model capabilities, offering multimodal generation abilities and a wealth of AI features, including creative templates, lip synchronization, story continuation, and style transformation.

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.

Tencent Cloud and Xiaomi have collaborated to launch the new Smart Lock M30 Pro. This product utilizes Tencent's 'palm scanning technology' that leverages AI recognition capabilities of palm prints and palm veins, providing users with a novel and convenient way to unlock securely. This technology is based on Tencent's proprietary 'palm print + palm vein' recognition algorithm, which captures images of the veins beneath the palm skin using near-infrared light for high-precision identity verification. Since every individual's palm vein pattern is unique, this technology not only enhances the convenience of unlocking but also significantly increases security.

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.