​[[{“value”:” While existing speech datasets are heavily skewed towards English, many EU languages are underserved in terms of accessible and high-quality speech data. This lack of resources leads to AI models that better understand and process English than other languages in tasks like recognition, machine… Read More »MOSEL: Collection of Open Source Speech Data for Speech Foundation Model Training on EU Languages Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” AI and the Internet of Medical Things IoMT are transforming healthcare, particularly in managing terminal diseases like cancer and heart failure. These technologies enhance diagnosis, personalize treatments, and improve patient monitoring, leading to better outcomes and quality of life. As terminal diseases progress, palliative… Read More »Transforming Healthcare with AI and IoMT: Innovations, Challenges, and Future Directions in Predicting and Managing Chronic and Terminal Diseases Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Recruitment is a dynamic process that has undergone tremendous transformation in recent years, with the adoption of new technologies playing a crucial role. One of the latest tools revolutionizing the recruitment landscape is OpenAI’s ChatGPT. With its advanced natural language processing capabilities, ChatGPT offers… Read More »15 Use Cases of ChatGPT for Recruiters Shobha Kakkar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Generative Intelligence has remained a hot topic for some time, with the current world witnessing an unprecedented boom in AI-related innovations and research, especially after the introduction of Large Language Models. A significant amount of funding is being allocated to LLM-related research in academia… Read More »Vinoground: A Temporal Counterfactual Large Multimodal Models LMM Evaluation Benchmark Encompassing 1000 Short and Natural Video-Caption Pairs Adeeba Alam Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) generate code aided by Natural Language Processing. There is a growing application of code generation in complex tasks such as software development and testing. Extensive alignment with input is crucial for an adept and bug-free output, but the developers identified… Read More »RLEF: A Reinforcement Learning Approach to Leveraging Execution Feedback in Code Synthesis Afeerah Naseem Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Automatic Speech Recognition (ASR) and Diarization technologies have become essential tools for transforming how machines interpret human speech. These innovations enable accurate transcription, speech segmentation, and speaker identification across various applications like media transcriptions, legal documentation, and customer service automation. By breaking down audio… Read More »Rev Releases Reverb AI Models: Open Weight Speech Transcription and Diarization Model Beating the Current SoTA Models Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The rapid advancement of generative AI has made image manipulation easier, complicating the detection of tampered content. While effective, current Image Forgery Detection and Localization (IFDL) methods need to work on two key challenges: the black-box nature of their detection principles and limited generalization… Read More »FakeShield: An Explainable AI Framework for Universal Image Forgery Detection and Localization Using Multimodal Large Language Models Sana Hassan Artificial Intelligence Category – MarkTechPost

​We present a foundation model for zero-shot metric monocular depth estimation. Our model, Depth Pro, synthesizes high-resolution depth maps with unparalleled sharpness and high-frequency details. The predictions are metric, with absolute scale, without relying on the availability of metadata such as camera intrinsics. And the… Read More »Depth Pro: Sharp Monocular Metric Depth in Less Than a Second Apple Machine Learning Research

​Machine Translation (MT) enables people to connect with others and engage with content across language barriers. Grammatical gender presents a difficult challenge for these systems, as some languages require specificity for terms that can be ambiguous or neutral in other languages. For example, when translating… Read More »Improving How Machine Translations Handle Grammatical Gender Ambiguity Apple Machine Learning Research

​[[{“value”:” Training Large Language Models (LLMs) that can handle long-context processing is still a difficult task because of data sparsity constraints, implementation complexity, and training efficiency. Working with documents of infinite duration, which are typical in contemporary media formats like automated news updates, live-stream e-commerce… Read More »Optimizing Long-Context Processing with Role-RL: A Reinforcement Learning Framework for Efficient Large Language Model Deployment Tanya Malhotra Artificial Intelligence Category – MarkTechPost