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Opera, the Norwegian browser company, today announced that its AI assistant, Aria, is officially launching on the Android version of the Opera Mini browser. This move aims to make AI functionality easily accessible to users with low-end devices and limited data. Aria AI can help users quickly access the latest news, delve deeper into topics of interest, and even generate images. Opera stated that Aria's powerful capabilities stem from its integration with OpenAI and...

Skywork AI's research team recently unveiled SkyReels-A2, a groundbreaking video generation framework pushing the boundaries of controllable video synthesis. This Element-to-Video (E2V) framework generates natural videos from text prompts by composing diverse visual elements (characters, objects, backgrounds), maintaining high fidelity to reference images. SkyReels-A2's core lies in its sophisticated data processing pipeline. The research team designed a comprehensive data construction pipeline.

Adobe recently announced an upgrade to its Adobe Stock service, introducing an AI-powered feature called "Customize." This new functionality allows users to quickly adjust and optimize stock images without leaving the Adobe Stock platform. Users can perform simple image edits and generate AI variations, eliminating the need to spend significant time on complex edits in applications like Photoshop. Adobe Stock

Recently, researchers from Stanford University and the University of Hong Kong discovered that current AI Agents (such as Claude) are more easily disrupted by pop-ups than humans, with significantly reduced performance even when faced with simple pop-ups. According to the study, AI Agents achieved an average attack success rate of 86% when confronted with deliberately designed pop-ups in experimental environments, leading to a 47% decrease in task success rate. This finding has sparked new concerns regarding the safety of AI Agents, especially as they are assigned more autonomous tasks.

Have you ever thought about designing a unique piece of jewelry yourself? Now, with Arcade AI, this dream can easily become a reality. This emerging AI platform was founded by Mariam Naficy, who previously created the renowned cosmetic retailer Eve and the design marketplace Minted, and is dedicated to supporting independent artists. Arcade AI began its public beta in September this year, allowing users to input their own ideas and generate multiple jewelry design options. Users can even upload reference images to create similar designs.

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, Japan-based startup Rhymes AI unveiled their first artificial intelligence model — Aria. The company claims that Aria is the world's first open-source multimodal mixture of experts (MoE) model. This model not only possesses the capability to handle various input modalities but also claims to be on par with, or even superior to, several well-known commercial models. The design philosophy of Aria aims to provide exceptional understanding and processing capabilities across diverse input forms including text, code, images, and videos.

Amazon has announced the acquisition of a non-exclusive license from robotics startup Covariant and has absorbed approximately a quarter of its workforce, aiming to accelerate innovation in the automation field and enhance the safety and adaptability of robots. The founding team of Covariant will join Amazon's AI and robotics team, marking a further enhancement of Amazon's automation capabilities on top of the 750,000 robots already deployed in its logistics centers. Covariant will continue to support its existing customers and develop warehousing automation technology.

Amazon has announced the hiring of the core team from robotics startup Covariant, comprising about a quarter of its staff, and has signed a non-exclusive licensing agreement to use Covariant's robotic foundation models. This move represents Amazon's strategic positioning in the field of artificial intelligence and robotics, aiming to advance foundational research in AI and robotics technology and apply it to Amazon's existing robotic systems, providing greater practical value to customers. Through a 'reverse acquisition' strategy, Amazon gains new technologies while avoiding a direct acquisition of the startup.

The domestic open source video generation model CogVideoX-5B has been officially released in the Mota ModelScope community, significantly improving the quality and visual effects of video generation. Based on the large-scale DiT model, this model utilizes a 3D causal variational autoencoder and expert Transformer technology, achieving spatio-temporal joint modeling through 3D-RoPE positional encoding and a 3D full attention mechanism. The use of progressive training techniques allows the model to generate long videos with distinct motion features, coherence, and high quality.

Approximately 725,000 people die each year from diseases transmitted by mosquitoes, with mosquitoes being the primary culprits, mainly causing malaria. To address this public health crisis, Bill Gates has introduced two innovative technologies: VectorCam and HumBug. VectorCam is an AI-driven mobile application that allows users to identify the species, gender, and blood-feeding status of mosquitoes by taking photos, achieving an accuracy rate of up to 90%. It is particularly suited for rural health teams, simplifying mosquito monitoring and malaria control. HumBug uses smartphones to capture mosquito flight.

South Korea's AI application 'X Caliber' is revolutionizing pet medical services by providing fast and accurate diagnoses that assist veterinarians in addressing pet health issues, significantly improving the speed and efficiency of care, and enhancing pet owners' trust in the diagnostic results. This technology utilizes AI to analyze X-rays with an accuracy rate of 86%, and has been implemented in South Korea, the United States, Australia, and parts of Southeast Asia, demonstrating great potential especially in Indonesia where it alleviates shortages of veterinary radiologists. This marks a gradual expansion of AI applications in the medical field, heralding a new era of AI in healthcare.

Zhipu AI announces the open source of its video generation model CogVideoX, aiming to promote the rapid development and application of video generation technology. The CogVideoX model is based on advanced large model technology and is capable of meeting commercial-grade application requirements. The currently open sourced CogVideoX-2B version requires only 18GB of GPU memory for inference at FP-16 precision and 40GB for fine-tuning, allowing inference with a single 4090 GPU and fine-tuning with a single A6000 GPU.

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.