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A new milestone has been reached in the field of AI video generation. AIbase learned from social media that ByteDance recently released a paper and demo of its new video generation model, Seaweed-7B, showcasing groundbreaking capabilities including synchronized audio and video generation, long-shot storytelling, and real-time high-resolution generation. This release signifies ByteDance's accelerated deployment in AI video technology. Below is AIbase's in-depth report on Seaweed-7B, analyzing its technological highlights and industry impact. Seaweed-7B is groundbreaking.

LG AI Research recently open-sourced its EXAONE Deep Reasoning AI model, touted as globally noteworthy. Its biggest highlight is its reasoning capabilities. Simply put, it can independently formulate hypotheses and verify them through reasoning, enabling autonomous decision-making. This marks a new era of Agentic AI, where AI may truly begin to develop its own intelligence. LG AI Research proudly announced the...

VideoPainter is a deep learning-based editing tool that allows for automated video content modification using simple prompts. It's particularly well-suited for long-form video editing. Imagine watching a great video, only to find a detail you'd like to change. Previously, you might have had to painstakingly adjust each frame or even reshoot the entire segment. Now, with VideoPainter, you simply input a short prompt, and the system...

Nvidia and the state of Utah recently announced a strategic partnership to launch a comprehensive AI education initiative aimed at upskilling the state's workforce and boosting economic growth. This public-private collaboration will provide key resources for developing generative AI skills to Utah's universities, community colleges, and adult education programs. A core component of the initiative will provide educators with professional certifications through the Nvidia Deep Learning Institute University Ambassador Program, access to high-quality teaching kits, workshop materials, and cloud-based Nvidia GPUs.

Nvidia today announced that its premier global AI conference, GTC 2025, will be held in San Jose, California from March 17th to 21st. The event is expected to draw 25,000 in-person attendees and 300,000 online viewers, showcasing the latest breakthroughs in AI and accelerated computing. A highly anticipated keynote address from Nvidia CEO Jensen Huang will highlight the conference.

iFlytek has announced a significant upgrade to its deep reasoning model, StarFire X1. This upgrade focuses on enhancing its capabilities across various domains, including mathematics, healthcare, and education, delivering notable improvements and innovations. StarFire X1 exhibits a significant enhancement in mathematical capabilities, particularly in tackling competition-level problems. Compared to other industry models, StarFire X1 demonstrates competitive performance in mathematical tasks while maintaining a smaller model parameter count, rivaling models like DeepSeek R1 and comparable OpenAI models. Users can access StarFire through iFlytek's...

Recently, the Arc Institute partnered with NVIDIA, along with researchers from Stanford University, the University of California, Berkeley, and the University of California, San Francisco, to jointly release the world's largest biological artificial intelligence model — Evo2. This model is based on data from over 128,000 genomes, training on 93 trillion nucleotides, making its scale comparable to the most powerful generative AI language models. Evo2's deep learning capabilities enable it to rapidly identify sequences of genes across different organisms.

Social media giant Meta recently announced that they have developed a new device capable of reading brain neural signals to enable text input. This research achievement is detailed by Meta's scientists in two studies, utilizing advanced brain imaging technology and deep learning AI models to successfully decode the brain signals of individuals while they type, even reconstructing complete sentences. Specifically, this technology relies on a scanning device known as magnetoencephalography (MEG), which can capture the faint magnetic signals emitted by the brain.

With the rapid proliferation of digital devices, how to perfectly adapt images and videos to various screen sizes has become an urgent issue to address. A research team from the University of Sharjah in the UAE recently published a study that developed a novel technology using deep learning models to automatically predict the optimal size of images for seamless display across different devices. The core of this research utilizes transfer learning techniques, employing deep learning models such as Resnet18, DenseNet121, and InceptionV3.

In a recent internal strategy meeting, Google CEO Sundar Pichai made clear statements about the company's future direction. He pointed out that 2025 will be a critical year for Google in the field of artificial intelligence, emphasizing that the company must focus more on using AI technology to solve real user problems. Pichai stated, "We need to recognize the urgency of this moment and accelerate our pace internally. The competitive pressure is immense right now." He further noted that despite historical...

According to Securities Times, Lei Jun, the founder of Xiaomi, successfully recruited Luo Fuli, one of the key developers of the open-source large model DeepSeek-V2, with a salary of millions, to lead Xiaomi's AI large model team. This move has attracted widespread attention in the industry and marks a strategic acceleration for Xiaomi in the field of artificial intelligence. Luo Fuli, a post-95 AI genius, graduated from Beijing Normal University and Peking University. In 2019, she became a focal point in academia by publishing eight papers at the top AI conference ACL.

Recently, a business research company released its 2024 Generative AI Market Report, showing that the market has rapidly expanded in recent years. According to the report, the generative AI market is expected to grow from $13.64 billion in 2023 to $18.1 billion in 2024, with a compound annual growth rate (CAGR) of 32.7%. This growth is mainly attributed to increased computing power, widespread availability of data, continuous R&D advancements, increased industry applications, and breakthroughs in deep learning. Image Source Note: The image was generated by AI, image usage authorized.

The rapid development of deep learning relies on the scale of datasets, models, and computational power. In the fields of natural language processing and computer vision, researchers have already discovered a power-law relationship between model performance and data scale. However, in the field of robotics, especially in robot manipulation, such scalable patterns have yet to be established. A research team from Tsinghua University recently published a paper exploring data scaling laws in robot imitation learning and proposed an efficient data collection strategy that collected sufficient data in just one afternoon, enabling...

AI painting is a revolutionary image generation technology based on deep learning algorithms, particularly Generative Adversarial Networks (GANs) and diffusion models. This approach analyzes vast amounts of image data to learn and simulate human painting techniques, thereby creating entirely new visual works. AI painting not only captures and reproduces the complex details of the real world accurately but also blends different artistic styles, showcasing astonishing creativity and imagination. The core of this technology lies in transforming abstract textual descriptions into concrete visual expressions.

Recently, a research achievement by a joint team from Sun Yat-sen University and Alibaba Cloud attracted widespread attention in the scientific community, published in the prestigious international journal 'Cell'. This groundbreaking study utilized advanced cloud computing and artificial intelligence technology to successfully discover over 160,000 entirely new RNA viruses, significantly expanding our understanding of the viral world. The deep learning algorithm developed by the research team, LucaProt, played a key role in this exploration. This powerful AI tool performed in-depth analysis on 10,487 RNA sequencing data sets worldwide.

Recently, a study from the Swiss École Polytechnique Fédérale de Lausanne (EPFL) made its debut at the IEEE International Conference on Robotics and Automation in Rotterdam. This research aims to explore how robotic hands can break existing limitations to grasp more objects. The research team noted that deep learning models significantly enhanced the dexterous manipulation capabilities of multi-fingered hands, but the grasping guided by contact information in cluttered environments has not yet been fully explored. To address this issue, the researchers designed an inspired hand that can bend backward to pick up various objects and detach itself to climb.

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.

New Yi Technology recently released its latest technological achievement - New Yi Video Large Model 2.0, marking a technological leap for the company in the field of AI video creation and a deep expansion of creative freedom. This technology integrates advanced AI algorithms and deep learning techniques, enabling full-process automated creation from script conception to video finalization, significantly lowering the barriers and costs of video creation.

Deep learning-based software security detection systems act as the 'security inspectors' of the digital age, efficiently identifying software vulnerabilities. However, a study named EaTVul has unveiled new challenges in this field. EaTVul is an innovative evasion attack strategy that modifies vulnerable code, leading deep learning detection systems to misjudge, achieving success rates ranging from 83% to 100%. Its method includes using support vector machines to identify key samples, attention mechanisms to recognize critical features, AI chatbots to generate confusing data, and fuzzy logic.

RoboflowSports is a deep learning-based sports data analysis tool that revolutionizes the field with advanced object detection, image segmentation, and keypoint detection. It accurately captures game details, such as ball trajectories and athlete movements, providing coaches and analysts with deep insights. The tool's visualization features present data intuitively and support dataset management, aiding tactical research, performance evaluation, ....