FastGen: Cutting GPU Memory Costs Without Compromising on LLM Quality

Practical Solutions for AI Transparency Enhancing Transparency for Foundation Models Foundation models play a central role in the economy and society, and transparency is vital for accountability and understanding. Regulations like the EU AI Act and…

Researchers from the Shanghai AI Lab and MIT have presented the Hierarchically Gated Recurrent Neural Network (HGRN) for efficient sequence modeling. The HGRN integrates forget gates to better handle long-term dependencies in tasks like language modeling…

On December 11, 2023, Rakuten announced the launch of its own large language model (LLM) which will enhance internal operations and marketing by 20%. Rakuten also plans to offer this technology to third-party businesses, positioning the…

Introduction to Jupyter Notebooks Jupyter Notebooks are an open-source tool that enables users to create and share documents containing live code, equations, visualizations, and narrative text. They are widely utilized in data science, machine learning, and…

CASS: An Innovative Solution for Open-World Segmentation This paper was accepted at CVPR 2025. CASS presents an elegant solution to Object-Level Context in open-world segmentation, outpacing several training-free methods and even some that require additional training.…

Universal Dynamics of Representation Learning in Deep Neural Networks Practical Solutions and Value Deep neural networks (DNNs) have various sizes and structures which influence the neural patterns learned. However, the issue of scalability is a major…

Understanding Large Language Models (LLMs) Large Language Models (LLMs) are essential in many AI applications, excelling in tasks like natural language processing and decision-making. However, we face challenges in understanding how they work and predicting their…

Master SQL with Top Platforms SQL, or Structured Query Language, is essential for anyone working with data. To become proficient, regular practice is key. Here’s a list of 12 excellent platforms that offer SQL exercises and…

MIT researchers have developed a search engine, called SecureLoop, that can identify optimal designs for deep neural network accelerators while maintaining data security. The tool considers the impact of adding encryption and authentication measures on performance…

Researchers from the University of Toronto, MIT, and the University of Montreal have developed ConceptGraphs, a 3D scene representation method for robot perception and planning. The method efficiently describes scenes with graph structures and integrates geometric…

Open Source LLM Development: Introducing Open R1 Open R1 is a groundbreaking project that fully reproduces and open-sources the DeepSeek-R1 system. It includes all training data, scripts, and resources, hosted on Hugging Face. This initiative promotes…

Researchers from Seoul National University, Seoul National University College of Medicine, and Columbia University have developed an AI-driven camera system that can diagnose obstructive sleep apnoea (OSA) from home. The system, called SlAction, uses infrared videos…

Understanding the Role of Language Models in AI Language models are becoming essential in various fields, such as customer service and data analysis. However, a major challenge is preparing documents for large language models (LLMs). Many…

Recent Advances in AI for Code Verification AI agents are making significant strides in automating mathematical theorem proving and verifying code correctness. Tools like Lean help ensure that code meets its specifications, which is crucial for…

Human Machine Interfaces (HMIs) facilitate user interaction with various devices and technologies. Innovations are enhancing their intuitiveness and efficiency. A Spanish research team has created a structured dataset from human-machine interactions using custom-built UIs, aiding in…