• Wed. Nov 27th, 2024

A Decade of Transformation: How Deep Learning Redefined Stereo Matching in the Twenties

A fundamental topic in computer vision for nearly half a century, stereo matching involves calculating dense disparity maps from two corrected pictures. It plays a critical role in many applications,…

5 Levels in AI by OpenAI: A Roadmap to Human-Level Problem Solving Capabilities

In an effort to track its advancement towards creating Artificial Intelligence (AI) that can surpass human performance, OpenAI has launched a new classification system. According to a Bloomberg article, OpenAI…

NVIDIA Researchers Introduce MambaVision: A Novel Hybrid Mamba-Transformer Backbone Specifically Tailored for Vision Applications

Computer vision enables machines to interpret & understand visual information from the world. This encompasses a variety of tasks, such as image classification, object detection, and semantic segmentation. Innovations in…

LLaVA-NeXT-Interleave: A Versatile Large Multimodal Model LMM that can Handle Settings like Multi-image, Multi-frame, and Multi-view

Recent progress in Large Multimodal Models (LMMs) has demonstrated remarkable capabilities in various multimodal settings, moving closer to the goal of artificial general intelligence. By using large amounts of vision-language…

InternLM-XComposer-2.5 (IXC-2.5): A Versatile Large-Vision Language Model that Supports Long-Contextual Input and Output

Large Language Models (LLMs) have made significant strides in recent years, prompting researchers to explore the development of Large Vision Language Models (LVLMs). These models aim to integrate visual and…

Researchers at Stanford Introduces In-Context Vectors (ICV): A Scalable and Efficient AI Approach for Fine-Tuning Large Language Models

Large language models (LLMs) have been crucial for driving artificial intelligence and natural language processing to new heights. These models have demonstrated remarkable abilities in understanding and generating human language,…

Can LLMs Help Accelerate the Discovery of Data-Driven Scientific Hypotheses? Meet DiscoveryBench: A Comprehensive LLM Benchmark that Formalizes the Multi-Step Process of Data-Driven Discovery

Scientific discovery has been a cornerstone of human advancement for centuries, traditionally relying on manual processes. However, the emergence of large language models (LLMs) with advanced reasoning capabilities and the…

GenSQL: A Generative AI System for Databases that Advances Probabilistic Programming for Integrated Tabular Data Analysis

Generative models of tabular data are key in Bayesian analysis, probabilistic machine learning, and fields like econometrics, healthcare, and systems biology. Researchers have developed methods to learn probabilistic models for…

Augmentoolkit: An AI-Powered Tool that Lets You Create Domain-Specific Using Open-Source AI

Creating datasets for training custom AI models can be a challenging and expensive task. This process typically requires substantial time and resources, whether it’s through costly API services or manual…

MJ-BENCH: A Multimodal AI Benchmark for Evaluating Text-to-Image Generation with Focus on Alignment, Safety, and Bias

Text-to-image generation models have gained traction with advanced AI technologies, enabling the generation of detailed and contextually accurate images based on textual prompts. The rapid development in this field has…