​[[{“value”:” As AI continues to gain popularity across industries, NVIDIA stands at the forefront, providing cutting-edge technologies and solutions. Their courses on various AI topics empower individuals with the knowledge and skills to harness AI’s potential effectively. This article lists the top AI courses NVIDIA… Read More »Top AI Courses from NVIDIA Shobha Kakkar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” An AI’s ability to comprehend and mimic the physical environment is based on its world model (WM), an abstract representation of that environment. The model includes objects, scenes, agents, physical laws, spatiotemporal information, and dynamic interactions. Specifically, it enables predicting world states in response… Read More »Pandora: A Hybrid Autoregressive-Diffusion Model that Simulates World States by Generating Videos and Allows Real-Time Control with Free-Text Actions Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” AI has seen groundbreaking advancements in recent years, particularly in image generation. Four key models, DALL-E, CLIP, VQ-VAE-2, and ImageGPT, stand out as transformative technologies that have redefined what AI can accomplish in generating and understanding visual content. Each model has unique attributes and… Read More »DALL-E, CLIP, VQ-VAE-2, and ImageGPT: A Revolution in AI-Driven Image Generation Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Sequence modeling is a critical domain in machine learning, encompassing applications such as reinforcement learning, time series forecasting, and event prediction. These models are designed to handle data where the order of inputs is significant, making them essential for tasks like robotics, financial forecasting,… Read More »Aaren: Rethinking Attention as Recurrent Neural Network RNN for Efficient Sequence Modeling on Low-Resource Devices Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The InternLM research team delves into developing and enhancing large language models (LLMs) specifically designed for mathematical reasoning and problem-solving. These models are crafted to bolster artificial intelligence’s capabilities in tackling intricate mathematical tasks, encompassing formal proofs and informal problem-solving. Researchers have noted that… Read More »InternLM Research Group Releases InternLM2-Math-Plus: A Series of Math-Focused LLMs in Sizes 1.8B, 7B, 20B, and 8x22B with Enhanced Chain-of-Thought, Code Interpretation, and LEAN 4 Reasoning Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Machine learning research aims to learn representations that enable effective downstream task performance. A growing subfield seeks to interpret these representations’ roles in model behaviors or modify them to enhance alignment, interpretability, or generalization. Similarly, neuroscience examines neural representations and their behavioral correlations. Both… Read More »Inductive Biases in Deep Learning: Understanding Feature Representation Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the rapidly developing fields of data science and Artificial Intelligence (AI), the search for increasingly effective systems is also increasing significantly. The development of Agentic Retrieval-Augmented Generation (RAG) is among the most revolutionary developments of recent times. This strategy is set to completely… Read More »The Rise of Agentic Retrieval-Augmented Generation (RAG) in Artificial Intelligence AI Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Biomedical data is increasingly complex, high-dimensional, and heterogeneous, encompassing sources such as electronic health records (EHRs), imaging, -omics data, sensors, and text. Traditional data mining and statistical methods must improve with this complexity, often requiring extensive feature engineering and domain expertise to extract meaningful… Read More »Deep Learning in Healthcare: Challenges, Applications, and Future Directions Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have advanced rapidly, especially in Natural Language Processing (NLP) and Natural Language Understanding (NLU). These models excel in text generation, summarization, translation, and question answering. With these capabilities, researchers are keen to explore their potential in tasks that require reasoning… Read More »Researchers at Arizona State University Evaluates ReAct Prompting: The Role of Example Similarity in Enhancing Large Language Model Reasoning Aswin Ak Artificial Intelligence Category – MarkTechPost