​ There is a lot of potentials for conversational generative AI to help medical professionals, but so far, the research has only focused on text. While advances in multi-modal conversational AI have been rapid because of billions of publicly available image-text pairings, such general-domain vision-language… Read More »Microsoft AI Unveils LLaVA-Med: An Efficiently Trained Large Language and Vision Assistant Revolutionizing Biomedical Inquiry, Delivering Advanced Multimodal Conversations in Under 15 Hours Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Google has introduced the Secure AI Framework (SAIF), a conceptual framework that establishes clear industry security standards for building and deploying AI systems responsibly. SAIF draws inspiration from security best practices in software development and incorporates an understanding of security risks specific to AI… Read More »Google AI Introduces a New Secure AI Framework (SAIF): A Conceptual Framework for Ensuring the Security of AI Systems Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Text-driven video editing aims to create new videos out of text prompts and existing video material without any manual labor. This technology has the potential to substantially impact various industries, including social media content, marketing, and advertising. The modified films must accurately reflect the… Read More »Meet ControlVideo: A Novel AI Method For Text-Driven Video Editing Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Generative Artificial Intelligence has become increasingly popular in the past few months. Being a subset of AI, it enables Large Language Models (LLMs) to generate new data by learning from massive amounts of available textual data. LLMs understand and follow user intentions and instructions… Read More »Meet Video-LLaMA: A Multi-Modal Framework that Empowers Large Language Models (LLMs) with the Capability of Understanding both Visual and Auditory Content in the Video Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ When it comes to natural language processing (NLP) tasks, large language models (LLM) trained on massive online datasets perform exceptionally well. Segment Anything Model (SAM) has shown outstanding zero-shot localization abilities in computer vision (CV) by scaling up data.  Unfortunately, SAM cannot produce semantic… Read More »A New AI Research Introduces Recognize Anything Model (RAM): A Robust Base Model For Image Tagging Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

​ Videos are a commonly used digital medium prized for their capacity to present vivid and engaging visual experiences. With the ubiquitous use of smartphones and digital cameras, recording live events on camera has become simple. However, the process gets significantly more difficult and expensive… Read More »Researchers from China Introduce Make-Your-Video: A Video Transformation Method by Employing Textual and Structural Guidance Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Large text-to-video models trained on internet-scale data have shown extraordinary capabilities to generate high-fidelity films from arbitrarily written descriptions. However, fine-tuning a pretrained huge model might be prohibitively expensive, making it difficult to adapt these models to applications with limited domain-specific data, such as… Read More »Enhancing Task-Specific Adaptation for Video Foundation Models: Introducing Video Adapter as a Probabilistic Framework for Adapting Text-to-Video Models Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Researchers have proposed a novel approach to enforcing distributional constraints in machine learning models using multi-marginal optimal transport. This approach is designed to be computationally efficient and allows for efficient computation of gradients during backpropagation. Existing methods for enforcing distributional constraints in machine learning… Read More »This AI Paper Presents An Efficient Solution For Solving Common Practical Multi-Marginal Optimal Transport Problems Asif Razzaq Artificial Intelligence Category – MarkTechPost

​ In a recent study published in Nature Machine Intelligence, researchers from TU Delft and EPFL delved into the capabilities of OpenAI’s ChatGPT platform. Curiosity led them to investigate whether the advanced language model could extend its reach beyond generating poems, essays, and books and… Read More »Can ChatGPT Also Design a Robot? Exploring the Intersection of Large Language Models and Human-AI Collaboration in Robot Design – Societal Implications and Beyond Niharika Singh Artificial Intelligence Category – MarkTechPost

​ The explicit modeling of the input modality is typically required for deep learning inference. For instance, by encoding picture patches into vectors, Vision Transformers (ViTs) directly model the 2D spatial organization of images. Similarly, calculating spectral characteristics (like MFCCs) to transmit into a network… Read More »Apple Researchers Introduce ByteFormer: An AI Model That Consumes Only Bytes And Does Not Explicitly Model The Input Modality Aneesh Tickoo Artificial Intelligence Category – MarkTechPost