✓ VIDEO Samsung 2025 New AI TV: Experience Vision AI (full ver.) TV commercial 2025 • 2025 New AI TV: Experience Vision AI (full ver.) l Samsung TV has always bee...

+++ #StartupTicker +++ Cherry Ventures legt vierten Fonds (500 Millionen auf) +++ Bielefelder KI-Startup VisionAI ist insolvent +++ Der Ausstieg und Fall von Finleap +++ Spread Group trennt sich von M...

Investing.com -- Meta has unveiled DINOv3, a state-of-the-art computer vision model that achieves unprecedented performance across diverse visual tasks without requiring labeled data. The new model scales self-supervised learning to create universal vision backbones that outperform specialized solutions on multiple tasks including object detection and semantic segmentation. DINOv3 was trained on 1.7 billion images and scaled to 7 billion parameters, representing a 7x larger model on a 12x larger dataset than its predecessor. Unlike previous approaches that rely heavily on human-generated metadata such as web captions, DINOv3 learns independently without human supervision. This label-free approach enables applications where annotations are scarce, costly, or impossible to obtain. The model produces high-resolution visual features that make it easy to train lightweight adapters, leading to exceptional performance across image classification, semantic segmentation, and object tracking in video. For the first time, a single frozen vision backbone outperforms specialized solutions on multiple dense prediction tasks. Meta is releasing a comprehensive suite of pre-trained backbones under a commercial license, including smaller models that outperform comparable CLIP-based derivatives and alternative ConvNeXt architectures for resource-constrained use cases. The company is also sharing downstream evaluation heads and sample notebooks to help developers build with DINOv3. Real-world applications are already emerging. The World Resources Institute is using DINOv3 to monitor deforestation and support restoration efforts. Compared to DINOv2, the new model reduces the average error in measuring tree canopy height in a region of Kenya from 4.1 meters to 1.2 meters. NASA’s Jet Propulsion Laboratory is also leveraging the technology to build exploration robots for Mars, enabling multiple vision tasks with minimal compute requirements. The release includes the full DINOv3 training code and pre-trained models to drive innovation in computer vision and multimodal applications across industries including healthcare, environmental monitoring, autonomous vehicles, retail, and manufacturing. This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.

Roboflow has launched RF-DETR, an open-source real-time object detection model optimized for edge devices, enabling faster and more efficient AI vision applications.

Investing.com -- Meta Platforms (NASDAQ:META) unveiled a suite of new artificial intelligence models that push the boundaries of machine perception and language understanding, signaling a leap forward in AI capabilities. Among the new models are the Perception Encoder, Perception Language Model (PLM), Meta Locate 3D, Dynamic Byte Latent Transformer, and Collaborative Reasoner, each designed to tackle complex challenges in their respective fields. The Perception Encoder stands out for its ability to interpret visual information from images and videos, surpassing existing models in zero-shot classification and retrieval tasks. It has demonstrated proficiency in difficult tasks, such as identifying animals in their natural habitats, and has shown significant improvements in language tasks after integration with a large language model. Meta’s PLM, on the other hand, is an open-source vision-language model trained on a combination of human-labeled and synthetic data. It is designed to handle challenging visual recognition tasks and comes in variants with up to 8 billion parameters. The PLM-VideoBench, a new benchmark released alongside the PLM, focuses on fine-grained activity understanding and spatiotemporally grounded reasoning. In robotics, Meta Locate 3D represents an innovation in object localization, enabling robots to understand and interact with the 3D world using natural language prompts. This model can accurately localize objects within 3D environments, a crucial step towards more autonomous and intelligent robotic systems. Meta has also released a dataset to support the development of this technology, which includes 130,000 language annotations. The Dynamic Byte Latent Transformer is another groundbreaking model from Meta, designed to enhance efficiency and robustness in language processing. This byte-level language model architecture matches the performance of traditional tokenization-based models and is now available for community use following its research publication in late 2024. Finally, the Collaborative Reasoner framework aims to develop social AI agents capable of collaborating with humans or other AI agents. It includes a suite of goal-oriented tasks that require multi-step reasoning and multi-turn conversation. Meta’s evaluation shows that current models can benefit from collaborative reasoning, and the company has open-sourced its data generation and modeling pipeline to encourage further research. As Meta integrates these advanced AI models into new applications, the potential for more capable AI systems across various domains is set to expand, marking significant progress in artificial intelligence research and development. This article was generated with the support of AI and reviewed by an editor. For more information see our T&C. Which stock should you buy in your very next trade? With valuations skyrocketing in 2024, many investors are uneasy putting more money into stocks. Unsure where to invest next? Get access to our proven portfolios and discover high-potential opportunities. In 2024 alone, ProPicks AI identified 2 stocks that surged over 150%, 4 additional stocks that leaped over 30%, and 3 more that climbed over 25%. That's an impressive track record. With portfolios tailored for Dow stocks, S&P stocks, Tech stocks, and Mid Cap stocks, you can explore various wealth-building strategies.

Researchers at the University of Pennsylvania and the Allen Institute for Artificial Intelligence have developed a groundbreaking tool that allows open-source AI systems to match or surpass the visual...

Samsung #VisionAI #SmartTV #QLED #OLED #NeoQLED #AI #TVInnovation #TechDeals #SmartHome #SamsungDeals Samsung Ra Mắt TV AI Vision AI Với Những Ưu Đãi Không Thể Bỏ Lỡ Tại Mỹ Samsung đã chính thức công bố dòng sản phẩm AI Vision AI mới, bao gồm các TV thông minh QLED và khung hình, tại thị trường Mỹ. Đi kèm với sự kiện ra mắt này, hãng cũng tung ra các chương trình ưu đãi giới hạn, mang đến những lợi ích hấp dẫn cho người tiêu dùng.

VisionAI in MyDesings makes creating your titles, tags, and descriptions fast and easy. Just be sure you're choosing the right product type when you generate...

Copilot Vision on Windows, now available in the U.S., is a new way to engage with your Windows 10 or 11 PC. When you enable it, it can see what you see on your device and talk to you about it in real…

Samsung Newsroom: Samsung Electronics held its First Look 2025 event on January 5 in Las Vegas ahead of the opening of the CES 2025 exhibition. The company unveiled an array of innovative technologies...