​[[{“value”:” Recommender systems are essential in modern digital platforms, enabling personalized user experiences by predicting preferences based on interaction data. These systems help users navigate the vast online content by suggesting relevant items critical to addressing information overload. By analyzing user-item interactions, they generate recommendations… Read More »This AI Paper Introduces HARec: A Hyperbolic Framework for Balancing Exploration and Exploitation in Recommender Systems Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Real-world networks, such as those in biomedical and multi-omics datasets, often present complex structures characterized by multiple types of nodes and edges, making them heterogeneous or multiplex. Most graph-based learning techniques fail to handle such intricate networks because of their intrinsic complexity, even though… Read More »GRAF: A Machine Learning Framework that Convert Multiplex Heterogeneous Networks to Homogeneous Networks to Make Them more Suitable for Graph Representation Learning Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” There is a crisis in technical education. The golden road to a career has always been through a college education. However, this “golden road” has developed deep cracks and is badly in need of maintenance. Postsecondary education is rapidly becoming unaffordable, even at public… Read More »Educating a New Generation of Workers Noah Gift AI & ML – Radar

​[[{“value”:” Function calling has emerged as a transformative capability in AI systems, enabling language models to interact with external tools through structured JSON object generation. However, current methodologies face critical challenges in comprehensively simulating real-world interaction scenarios. Existing approaches predominantly focus on generating tool-specific call… Read More »FunctionChat-Bench: Comprehensive Evaluation of Language Models’ Function Calling Capabilities Across Interactive Scenarios Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Diffusion models have pulled ahead of others in text-to-image generation. With continuous research in this field over the past year, we can now generate high-resolution, realistic images that are indistinguishable from authentic images.  However, with the increasing quality of the hyperrealistic images model, parameters… Read More »Researchers from NVIDIA and MIT Present SANA: An Efficient High-Resolution Image Synthesis Pipeline that Could Generate 4K Images from a Laptop Adeeba Alam Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Red teaming plays a pivotal role in evaluating the risks associated with AI models and systems. It uncovers novel threats, identifies gaps in current safety measures, and strengthens quantitative safety metrics. By fostering the development of new safety standards, it bolsters public trust and… Read More »Red Teaming for AI: Strengthening Safety and Trust through External Evaluation Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have revolutionized the field of artificial intelligence, demonstrating remarkable capabilities in various tasks. However, to fully harness their potential, LLMs must be equipped with the ability to interact with the real world through tools. As the number of available tools… Read More »Google AI Proposes Re-Invoke: An Unsupervised AI Tool Retrieval Method that Effectively and Efficiently Retrieves the Most Relevant Tools from a Large Toolset Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Natural neural systems have inspired innovations in machine learning and neuromorphic circuits designed for energy-efficient data processing. However, implementing the backpropagation algorithm, a foundational tool in deep learning, on neuromorphic hardware remains challenging due to its reliance on bidirectional synapses, gradient storage, and nondifferentiable… Read More »On-Chip Implementation of Backpropagation for Spiking Neural Networks on Neuromorphic Hardware Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Retrieval-augmented generation (RAG) architectures are revolutionizing how information is retrieved and processed by integrating retrieval capabilities with generative artificial intelligence. This synergy improves accuracy and ensures contextual relevance, creating systems capable of addressing highly specific user needs. Below is a detailed exploration of the… Read More »Retrieval-Augmented Generation (RAG): Deep Dive into 25 Different Types of RAG Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Building AI agents that interact with a variety of services presents significant challenges, particularly when it comes to managing authentication. Developers often face the frustration of setting up OAuth flows for Gmail, handling API keys for platforms like Linear, or configuring permissions across multiple… Read More »Composio Introduces AgentAuth: The Comprehensive Auth Solution Designed for AI Agents Asif Razzaq Artificial Intelligence Category – MarkTechPost