​[[{“value”:” Understanding the different forms and future directions of Artificial Intelligence (AI) is becoming increasingly important as it evolves. Artificial Narrow Intelligence (ANI), Artificial General Intelligence (AGI), and Artificial Super Intelligence (ASI) are the three primary categories of AI. Each kind marks unique turning points… Read More »The Three Different Types of Artificial Intelligence – ANI, AGI and ASI Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” A fundamental challenge in studying EEG-to-Text models is ensuring that the models learn from EEG inputs and not just memorize text patterns. In many reports in the literature where great results have been obtained on brain signal translation to text, there seems to be… Read More »Are EEG-to-Text Models Really Learning or Just Memorizing? A Deep Dive into Model Reliability Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Information overload presents significant challenges in extracting insights from documents containing both text and visuals, such as charts, graphs, and images. Despite advancements in language models, analyzing these multimodal documents remains difficult. Conventional AI models are limited to interpreting plain text, often struggling to… Read More »Anthropic Introduces Claude 3.5 Sonnet: The AI That Understands Text, Images, and More in PDFs Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Current Text-to-Speech (TTS) systems, such as VALL-E and Fastspeech, face persistent challenges related to processing complex linguistic features, managing polyphonic expressions, and producing natural-sounding multilingual speech. These limitations become particularly evident when dealing with context-dependent polyphonic words and cross-lingual synthesis. Traditional TTS approaches, which… Read More »Fish Agent v0.1 3B Released: A Groundbreaking Voice-to-Voice Model Capable of Capturing and Generating Environmental Audio Information with Unprecedented Accuracy Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Recognition of human motion using time series from mobile and wearable devices is commonly used as key context information for various applications, from health condition monitoring to sports activity analysis to user habit studies. However, collecting large-scale motion time series data remains challenging due… Read More »UniMTS: A Unified Pre-Training Procedure for Motion Time Series that Generalizes Across Diverse Device Latent Factors and Activities Divyesh Vitthal Jawkhede Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have become the backbone of many AI systems, contributing significantly to advancements in natural language processing (NLP), computer vision, and even scientific research. However, these models come with their own set of challenges. As the demand for better AI capabilities… Read More »Tencent Releases Hunyuan-Large (Hunyuan-MoE-A52B) Model: A New Open-Source Transformer-based MoE Model with a Total of 389 Billion Parameters and 52 Billion Active Parameters Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Atmospheric science and meteorology have recently made strides in modeling local weather and climate phenomena by capturing fine-scale dynamics crucial to precise forecasting and planning. Small-scale atmospheric physics, including the intricate details of storm patterns, temperature gradients, and localized events, requires high-resolution data to… Read More »Meet Stochastic Flow Matching: An AI Framework Mapping Low-Resolution to Latent Space, Bridging High-Resolution Targets Effectively Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Autonomous agents have emerged as a critical focus in machine learning research, especially in reinforcement learning (RL), as researchers work to develop systems that can handle diverse challenges independently. The core challenge lies in creating agents that show three key characteristics: generality in tackling… Read More »Continuous Arcade Learning Environment (CALE): Advancing the Capabilities of Arcade Learning Environment Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Ischemic stroke (IS) is one of the leading causes of disability and mortality in the world. It is caused by blood clotting in the arteries leading to the brain. It is crucial to dissolve the clot within a specific period of about 4.5 hours… Read More »Revealing Biomarkers for Ischemic Stroke: Machine Learning Meets Single-Cell Transcriptomics Afeerah Naseem Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Contrastive image and text models face significant challenges in optimizing retrieval accuracy despite their crucial role in large-scale text-to-image and image-to-text retrieval systems. While these models effectively learn joint embeddings through contrastive loss functions to align matching text-image pairs and separate non-matching pairs, they… Read More »Nearest Neighbor Normalization: A Sublinear Approach to Improving Contrastive Retrieval Mohammad Asjad Artificial Intelligence Category – MarkTechPost