​[[{“value”:” Hackers finding a way to mislead their AI into disclosing critical corporate or consumer data is the possible nightmare that looms over Fortune 500 company leaders as they create chatbots and other generative AI applications. Meet Lakera AI, a GenAI security company and cool… Read More »Meet Lakera AI: A Real-Time GenAI Security Company that Utilizes AI to Protect Enterprises from LLM Vulnerabilities Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Recent advancements in video generation have been driven by large models trained on extensive datasets, employing techniques like adding layers to existing models and joint training. Some approaches use multi-stage processes, combining base models with frame interpolation and super-resolution. Video Super-Resolution (VSR) enhances low-resolution… Read More »VEnhancer: A Generative Space-Time Enhancement Method for Video Generation Shoaib Nazir Artificial Intelligence Category – MarkTechPost

​New research analyzes the misuse of multimodal generative AI today, in order to help build safer and more responsible technologies. New research analyzes the misuse of multimodal generative AI today, in order to help build safer and more responsible technologies.  Read More  

​[[{“value”:” The number of modern applications containing both the backend and frontend code with one or more generative AI models is increasing rapidly. Developers are required to keep up with the expanding field of AI engineering in order to incorporate these models into their latest… Read More »GitHub Launches GitHub Models: Enabling Millions of Developers to Become AI Engineers and Build with Industry-Leading AI Models Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Visual understanding is the abstracting of high-dimensional visual signals like images and videos. Many problems are involved in this process, ranging from depth prediction and vision-language correspondence to classification and object grounding, which include tasks defined along spatial and temporal axes and tasks defined… Read More »Theia: A Robot Vision Foundation Model that Simultaneously Distills Off-the-Shelf VFMs such as CLIP, DINOv2, and ViT Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Speech recognition is a rapidly evolving field that enables machines to understand and transcribe human speech across various languages. This technology is vital for virtual assistants, automated transcription services, and language translation applications. Despite significant advancements, the challenge of covering all languages, particularly low-resource… Read More »MMS Zero-shot Released: A New AI Model to Transcribe the Speech of Almost Any Language Using Only a Small Amount of Unlabeled Text in the New Language Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The Role of AI in Medicine: AI simulates human intelligence in machines and has significant applications in medicine. AI processes large datasets to identify patterns and build adaptive models, particularly in deep learning for medical image analysis, such as X-rays and MRIs. Multi-agent systems… Read More »Transformative Impact of Artificial Intelligence AI on Medicine: From Imaging to Distributed Healthcare Systems Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Efficiently integrating AI agents with various applications and tools can be challenging. Traditionally, developers have approached such tasks using individual APIs or creating custom solutions for each integration. These methods, however, come with significant drawbacks. They often lack consistency, require extensive coding and maintenance,… Read More »Composio: An Open-Sourced Production Ready Toolset for AI Agents Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Software vulnerability detection has seen substantial advancements in integrating deep learning models, which have shown high accuracy in identifying potential vulnerabilities within software. These models analyze code to detect patterns and anomalies that indicate weaknesses. However, despite their effectiveness, these models are not immune… Read More »EaTVul: Demonstrating Over 83% Success Rate in Evasion Attacks on Deep Learning-Based Software Vulnerability Detection Systems Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have revolutionized natural language processing, demonstrating exceptional performance across various tasks. The Scaling Law suggests that as model size increases, LLMs develop emergent abilities, enhancing their context understanding and long sequence handling capabilities. This growth enables LLMs to generate coherent… Read More »Salesforce AI Introduces ‘ThinK’: A New AI Method that Exploits Substantial Redundancy Across the Channel Dimension of the KV Cache Mohammad Asjad Artificial Intelligence Category – MarkTechPost