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Google recently announced that the Gemini Live feature in its Gemini app is now available for free to all Android users. Initially, this feature was only accessible to Pixel 9 and Samsung Galaxy S25 users earlier this month through a Gemini Advanced subscription. However, due to positive user feedback, Google decided to expand access and make the feature widely available. The powerful Gemini Live functionality...

Toronto-based startup Xaba, focused on developing 'synthetic brains' for industrial robots via a no-code approach, announced a $6 million seed funding round led by Hitachi Ventures. The funding will accelerate deployment of its AI-powered robots and cognitive industrial control systems. Image note: Image generated by AI, licensed from MidjourneyX.

From April 1st to 18th, approximately 100,000 ninth-grade students in Wuhan participated in their physical education entrance examination. This year's exam introduced a new AI intelligent judging system, marking a significant shift in physical examination assessment. Traditionally, physical education exams relied on manual timing and scoring. This year's exam utilized intelligent devices and cloud management to ensure fairness and efficiency. The exam incorporated several AI technologies, including facial recognition, electronic distance measurement, and wireless sensing, covering 14 items across three categories.

Ces lunettes intelligentes à véritable IA adopteront une architecture à double puce et intégreront un appareil photo dont les performances devraient rivaliser avec celles des Meta Ray-Ban. Elles pourront non seulement percevoir le monde réel grâce à leur objectif, mais aussi proposer une expérience interactive riche et variée grâce à l’IA. Par exemple, les utilisateurs pourront identifier des objets, reconnaître automatiquement les restaurants et obtenir instantanément des informations pratiques telles que les prix et les notes, une fonctionnalité similaire au système de vision intelligent d’Apple.

Baidu AI has announced the open-sourcing of PP-TableMagic, a new generation table recognition solution, marking a significant breakthrough in structured information extraction from tables. PP-TableMagic aims to address the limitations of traditional table recognition technologies in complex scenarios. Through an innovative multi-model network architecture, it achieves high-precision end-to-end table recognition and supports highly customizable model fine-tuning for all scenarios.

On March 11th, the Tongyi Lab team announced the open-sourcing of the R1-Omni model, marking a significant advancement in multimodal model development. This model integrates reinforcement learning with verifiable reward (RLVR) methods, focusing on improving reasoning capabilities and generalization performance in multimodal emotion recognition tasks. R1-Omni's training is divided into two stages. In the cold-start phase, the team fine-tuned the model using a combined dataset containing 580 video clips sourced from Explainable Multimodal Emotion...

The AI revolution in image recognition is rapidly evolving, moving beyond simple cat-dog classification. Current trends focus on much finer distinctions, such as identifying the year and model of a specific car or even subtle differences like the thickness of a bird's eyebrow. However, while neural networks excel at classification, explaining their reasoning ('Why did you classify this as X?') often proves challenging. Traditional Class Activation Maps (CAM)

Mistral AI, an artificial intelligence company, today announced the official launch of its latest document recognition model, Mistral OCR. Hailed as the "most powerful OCR on the planet," this model has sparked significant discussion on platform X due to its exceptional performance and versatility. Mistral OCR supports precise extraction from complex PDFs, images, tables, mathematical formulas, and multilingual documents, surpassing Google Document AI and Azure OCR in both speed and accuracy.

ElevenLabs has unveiled its new Scribe speech-to-text model, boasting unprecedented accuracy levels, particularly in English where it achieves a remarkable 96.7% accuracy rate.