Meta AI Introduces Brain2Qwerty: Advancing Non-Invasive Sentence Decoding with MEG and Deep Learning

Neuroprosthetic devices have significantly advanced brain-computer interfaces (BCIs), enabling communication for individuals with speech or motor impairments due to conditions like anarthria, ALS, or severe paralysis. These devices decode neural activity patterns by implanting electrodes in motor regions, allowing users to form complete sentences. Early BCIs were limited to recognizing basic linguistic elements, but recent … Read more

Q-Filters: A Training-Free AI Method for Efficient KV Cache Compression

Large Language Models (LLMs) have significantly advanced due to the Transformer architecture, with recent models like Gemini-Pro1.5, Claude-3, GPT4, and Llama3.1 demonstrating capabilities to process hundreds of thousands of tokens. However, these expanded context lengths introduce critical challenges for practical deployment. As sequence length increases, decoding latency escalates and memory constraints become severe bottlenecks. The … Read more

A Coding Guide to Sentiment Analysis of Customer Reviews Using IBM’s Open Source AI Model Granite-3B and Hugging Face Transformers

In this tutorial, we will look into how to easily perform sentiment analysis on text data using IBM’s open-source Granite 3B model integrated with Hugging Face Transformers. Sentiment analysis, a widely-used natural language processing (NLP) technique, helps quickly identify the emotions expressed in text. It makes it invaluable for businesses aiming to understand customer feedback … Read more

AMD Releases Instella: A Series of Fully Open-Source State-of-the-Art 3B Parameter Language Model

In today’s rapidly evolving digital landscape, the need for accessible, efficient language models is increasingly evident. Traditional large-scale models have advanced natural language understanding and generation considerably, yet they often remain out of reach for many researchers and smaller organizations. High training costs, proprietary restrictions, and a lack of transparency can hinder innovation and limit … Read more

Starter Guide For Running Large Language Models LLMs

Running large language models (LLMs) presents significant challenges due to their hardware demands, but numerous options exist to make these powerful tools accessible. Today’s landscape offers several approaches – from consuming models through APIs provided by major players like OpenAI and Anthropic, to deploying open-source alternatives via platforms such as Hugging Face and Ollama. Whether … Read more

CASS: Injecting Object-Level Context for Advanced Open-vocabulary semantic segmentation

This paper was just accepted at CVPR 2025. In short, CASS is as an elegant solution to Object-Level Context in open-world segmentation. They outperform several training-free approaches and even surpasses some methods that rely on extra training. The gains are especially notable in challenging setups where objects have intricate sub-parts or classes have high visual … Read more

AxoNN: Advancing Large Language Model Training through Four-Dimensional Hybrid Parallel Computing

Deep Neural Network (DNN) training has experienced unprecedented growth with the rise of large language models (LLMs) and generative AI. The effectiveness of these models directly correlates with increasing their size, a development made possible by advances in GPU technology and frameworks like PyTorch and TensorFlow. However, training neural networks with billions of parameters presents … Read more

How to Use Jupyter Notebooks for Interactive Coding and Data Analysis

Jupyter Notebooks are a powerful open-source tool that allows users to create and share documents that contain live code, equations, visualizations, and narrative text. They are widely used in data science, machine learning, and scientific computing for interactive coding and data analysis. This tutorial will guide you through installing Jupyter, using basic features, and performing … Read more

MVGD from Toyota Research Institute: Zero Shot 3D Scene Reconstruction

Toyota Research Institute Researchers have unveiled Multi-View Geometric Diffusion (MVGD), a groundbreaking diffusion-based architecture that directly synthesizes high-fidelity novel RGB and depth maps from sparse, posed images, bypassing the need for explicit 3D representations like NeRF or 3D Gaussian splats. This innovation promises to redefine the frontier of 3D synthesis by offering a streamlined, robust, … Read more

A Step by Step Guide to Deploy Streamlit App Using Cloudflared, BeautifulSoup, Pandas, Plotly for Real-Time Cryptocurrency Web Scraping and Visualization

In this tutorial, we’ll walk through a reliable and hassle-free approach using Cloudflared, a tool by Cloudflare that provides a secure, publicly accessible link to your Streamlit app. By the end of this guide, we will achieve a fully functional cryptocurrency dashboard that dynamically scrapes and visualizes real-time price data from CoinMarketCap. You can track … Read more