Nano Banana Pro is Google's latest image generation and editing model, leveraging Gemini 3 Pro to create high-quality visuals with accurate text in multiple languages, enhancing user creativity and productivity.
Meta Segment Anything Model 3
SAM 3 introduces advanced features in AI technology, enhancing user interaction and experience through improved algorithms and user interface design. For more details, visit the official article.
Researchers discover security vulnerability in WhatsApp
Researchers from the University of Vienna uncovered a significant privacy vulnerability in WhatsApp's contact discovery mechanism, enabling the enumeration of 3.5 billion accounts across 245 countries, which has since been mitigated by Meta.
Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in LLMs
Adversarial poetry serves as a universal jailbreak technique for large language models (LLMs), achieving attack-success rates (ASR) exceeding 90% in some cases across 25 models, indicating a significant vulnerability in their safety mechanisms.
Segment Anything Model 3 (SAM 3) is released
Segment Anything Model 3 (SAM 3) introduces a unified framework for detecting, segmenting, and tracking objects in images and videos using concept prompts, significantly enhancing Promptable Concept Segmentation (PCS) with a dataset of 4M unique labels.
Jailbreaking AI Models to Phish Elderly Victims
AI models can be effectively jailbroken to generate phishing emails, with a study revealing that 11% of elderly participants fell victim to at least one phishing attempt, highlighting the vulnerability of this demographic to AI-driven scams.
SAM 3 is now here! Is segmentation already a done deal?
Promptable Concept Segmentation (PCS) in SAM 3 allows for the identification and segmentation of all instances of a specified concept in a visual scene, enhancing the model's utility for advanced multimodal AI applications.
IBM Delivers New Quantum Package
IBM's Quantum Nighthawk processor is set to achieve 30% more circuit complexity and is expected to deliver verified quantum advantage by the end of 2026, marking a significant leap in quantum computing capabilities.
Human Action Classification: Reproducible baselines for UCF-101 (87%) and Stanford40 (88.5%) with training code + pretrained models
Reproducible baselines for human action recognition achieve 87.05% accuracy on UCF-101 and 88.5% on Stanford40, providing a reliable starting point for researchers with pretrained models available on HuggingFace.
Mathematical Analysis of Hallucination Dynamics in Large Language Models: Uncertainty Quantification, Advanced Decoding, and Principled Mitigation
This study introduces a mathematically grounded framework for understanding and mitigating hallucinations in Large Language Models (LLMs), utilizing advanced techniques from probabilistic modeling and Bayesian uncertainty estimation.
Training RL agent to reach #1 in Teamfight Tactics through 100M simulated games
The project aims to train a reinforcement learning (RL) agent to achieve superhuman performance in Teamfight Tactics by simulating 100 million games at a rate of 5,000+ games per second, circumventing the need for extensive real-world resources and compliance issues with Riot's Terms of Service.
Privacy Preserving In-Context-Learning Framework for Large Language Models
The proposed privacy-preserving framework for Large Language Models (LLMs) ensures provable privacy guarantees while maintaining high utility, addressing the critical issue of sensitive information leakage during inference.
Introducing AnyLanguageModel: One API for Local and Remote LLMs on Apple Platforms
AnyLanguageModel simplifies LLM integration for Apple developers by providing a single API that supports both local and remote models, reducing the complexity of using multiple APIs.
Arabic OCR research project
The best Open-Source Arabic OCR models include various pipelines like PP-OCR and CNN vs LLM-OCR/VLMs, which are essential for improving accuracy in Arabic text recognition.