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New Neural Model Enables AI-to-AI Linguistic Communication

Unite.AI

NLP enables machines to understand, interpret, and respond to human language in a meaningful way. By leveraging NLP, AI systems can perform a range of tasks, from translation and sentiment analysis to more complex interactions like conversational agents.

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Getting ready for artificial general intelligence with examples

IBM Journey to AI blog

Imagine a world where machines aren’t confined to pre-programmed tasks but operate with human-like autonomy and competence. A world where computer minds pilot self-driving cars, delve into complex scientific research, provide personalized customer service and even explore the unknown. Imagine a self-driving car piloted by an AGI.

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Bridging the Binary Gap: Challenges in Training Neural Networks to Decode and Summarize Code

Marktechpost

This study’s research area is artificial intelligence (AI) and machine learning, specifically focusing on neural networks that can understand binary code. The research addresses a significant problem: understanding what binary code does is difficult because it requires specialized skills and knowledge. With over 1.1

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Harmonics of Learning: A Mathematical Theory for the Rise of Fourier Features in Learning Systems Like Neural Networks

Marktechpost

These findings are practical and well-established in the field of machines that can interpret literature but lack theoretical explanations. Researchers from KTH, Redwood Center for Theoretical Neuroscience, and UC Santa Barbara introduced a mathematical explanation for the rise of Fourier features in learning systems like neural networks.

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Tsinghua University Researchers Propose ADELIE: Enhancing Information Extraction with Aligned Large Language Models Around Human-Centric Tasks

Marktechpost

Information extraction (IE) is a pivotal area of artificial intelligence that transforms unstructured text into structured, actionable data. Researchers have traditionally employed strategies such as prompt engineering, which involves providing detailed annotations and guidelines to assist LLMs without altering underlying model parameters.

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The Multimodal Marvel: Exploring GPT-4o’s Cutting-Edge Capabilities

Unite.AI

From the early days of rule-based systems to the advent of machine learning and deep learning , AI has evolved to become more advanced and versatile. The latest in this lineage, GPT-4o , signifies years of research and development. The development of Generative Pre-trained Transformers (GPT) by OpenAI has been particularly noteworthy.

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This AI Paper Unveils a New Method for Statistically-Guaranteed Text Generation Using Non-Exchangeable Conformal Prediction

Marktechpost

Natural language generation (NLG) is a critical area in AI, enabling applications such as machine translation (MT), language modeling (LM), summarization, and more. To address this, the study draws on advancements in nearest-neighbor language modeling and machine translation. Check out the Paper.