​[[{“value”:” Multimodal artificial intelligence focuses on developing models capable of processing and integrating diverse data types, such as text and images. These models are essential for answering visual questions and generating descriptive text for images, highlighting AI’s ability to understand and interact with a multifaceted… Read More »This AI Paper by Meta FAIR Introduces MoMa: A Modality-Aware Mixture-of-Experts Architecture for Efficient Multimodal Pre-training Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Multi-layer perceptrons (MLPs) have become essential components in modern deep learning models, offering versatility in approximating nonlinear functions across various tasks. However, these neural networks face challenges in interpretation and scalability. The difficulty in understanding learned representations limits their transparency, while expanding the network… Read More »MLPs vs KANs: Evaluating Performance in Machine Learning, Computer Vision, NLP, and Symbolic Tasks Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Israeli AI startup aiOla has unveiled a groundbreaking innovation in speech recognition with the launch of Whisper-Medusa. This new model, which builds upon OpenAI’s Whisper, has achieved a remarkable 50% increase in processing speed, significantly advancing automatic speech recognition (ASR). aiOla’s Whisper-Medusa incorporates a… Read More »Whisper-Medusa Released: aiOla’s New Model Delivers 50% Faster Speech Recognition with Multi-Head Attention and 10-Token Prediction Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” LyzrCore introduces  Lyzr Automata, which represents a significant advancement in the field of process automation, offering a low-code multi-agent framework designed to streamline complex workflows. At its core, the system incorporates a sophisticated Human-in-Loop mechanism, enabling users to guide agent behavior through predefined rules.… Read More »Lyzr Automata: A Low-Code Multi-Agent Framework for Advanced Process Automation Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have shown remarkable capabilities in NLP, performing tasks such as translation, summarization, and question-answering. These models are essential in advancing how machines interact with human language, but evaluating their performance remains a significant challenge due to the immense computational resources… Read More »tinyBenchmarks: Revolutionizing LLM Evaluation with 100-Example Curated Sets, Reducing Costs by Over 98% While Maintaining High Accuracy Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” A common challenge in developing AI-driven applications is managing and utilizing memory effectively. Developers often face high costs, closed-source limitations, and inadequate support for integrating external dependencies. These issues can hinder the development of robust applications like AI-powered dating apps or healthcare diagnostics platforms.… Read More »Redcache: An Open-Source Python Package to Improve the Memory of Large Language Models LLMs and Agents Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Video captioning has become increasingly important for content understanding, retrieval, and training foundation models for video-related tasks. Despite its importance, generating accurate, detailed, and descriptive video captions is challenging in fields like computer vision and natural language processing. Various key obstacles hinder progress in… Read More »Wolf: A Mixture-of-Experts Video Captioning Framework that Outperforms GPT-4V and Gemini-Pro-1.5 in General Scenes, Autonomous Driving, and Robotics Videos Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Deep learning has become a powerful tool for classifying pathological voices, particularly in the GRBAS (Grade, Roughness, Breathiness, Asthenia, Strain) scale assessment. The GRBAS scale is a standardized method clinicians use to evaluate voice disorders based on auditory-perceptual judgment. Traditional methods for classifying pathological… Read More »Assessing Noise Impact on Machine Learning Models for Voice Disorder Evaluation Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Spatially resolved single-cell transcriptomics offers insights into gene expression within tissues, but current technologies are limited by their ability to measure only a small number of genes. To address this, algorithms have been developed to predict or impute the expression of additional genes. These… Read More »SPRITE (Spatial Propagation and Reinforcement of Imputed Transcript Expression): Enhancing Spatial Gene Expression Predictions and Downstream Analyses Through Meta-Algorithmic Integration Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In a significant development for the forecasting community, Nixtla has announced the release of NeuralForecast, an advanced library designed to offer a robust and user-friendly collection of neural forecasting models. This library aims to bridge the gap between complex neural networks and their practical… Read More »NeuralForecast 1.7.4 Released: Nixtla’s Advanced Library Revolutionizes Neural Forecasting with Usability and Robustness Asif Razzaq Artificial Intelligence Category – MarkTechPost