Computer Vision

Anthropic AI Releases Claude 3.5: A New AI Model that Surpasses GPT-4o on Multiple Benchmarks While Being 2x Faster than Claude 3 Opus

AI Shorts
Anthropic AI has launched Claude 3.5 Sonnet, marking the first release in its new Claude 3.5 model family. This latest iteration of Claude brings significant advancements in AI capabilities, setting a new benchmark in the industry...

StreamSpeech: A Direct Simul-S2ST Speech-to-Speech Translation Model that Jointly Learns Translation and Simultaneous Policy in a Unified Framework of Multi-Task Learning

AI Paper Summary
Large Language Models (LLMs) have gained significant attention in the field of simultaneous speech-to-speech translation (SimulS2ST). This technology has become crucial for low-latency communication in various scenarios, such as international conferences, live broadcasts, and online subtitles....

NYU Researchers Propose Inter- & Intra-Modality Modeling (I2M2) for Multi-Modal Learning, Capturing both Inter-Modality and Intra-Modality Dependencies

AI Shorts
In supervised multi-modal learning, data is mapped from various modalities to a target label using information about the boundaries between the modalities. Different fields...

Pixel Transformer: Challenging Locality Bias in Vision Models

AI Shorts
The deep learning revolution in computer vision has shifted from manually crafted features to data-driven approaches, highlighting the potential of reducing feature biases. This...

Sketchpad: An AI Framework that Gives Multimodal Language Models LMs a Visual Sketchpad and Tools to Draw on the Sketchpad

AI Shorts
One of the main challenges in current multimodal language models (LMs) is their inability to utilize visual aids for reasoning processes. Unlike humans, who...

TiTok: An Innovative AI Method for Tokenizing Images into 1D Latent Sequences

AI Paper Summary
In recent years, image generation has made significant progress due to advancements in both transformers and diffusion models. Similar to trends in generative language...

DeepStack: Enhancing Multimodal Models with Layered Visual Token Integration for Superior High-Resolution Performance

AI Shorts
Most LMMs integrate vision and language by converting images into visual tokens fed as sequences into LLMs. While effective for multimodal understanding, this method...

NVIDIA’s Autoguidance: Improving Image Quality and Variation in Diffusion Models

AI Paper Summary
Improving image quality and variation in diffusion models without compromising alignment with given conditions, such as class labels or text prompts, is a significant...

SignLLM: A Multilingual Sign Language Model that can Generate Sign Language Gestures from Input Text

AI Shorts
The primary goal of Sign Language Production (SLP) is to create sign avatars that resemble humans using text inputs. The standard procedure for SLP...

MedVersa: A Generalist Learner that Enables Flexible Learning and Tasking for Medical Image Interpretation

AI Shorts
Despite the advancement of artificial intelligence in the field of medical science, these systems have limited application. This limitation creates a gap in developing...

Beyond High-Level Features: Dense Connector Boosts Multimodal Large Language Models MLLMs with Multi-Layer Visual Integration

AI Paper Summary
Multimodal Large Language Models (MLLMs) represent an advanced field in artificial intelligence where models integrate visual and textual information to understand and generate responses....

A Comprehensive Review of Survey on Efficient Multimodal Large Language Models

AI Paper Summary
Multimodal large language models (MLLMs) are cutting-edge innovations in artificial intelligence that combine the capabilities of language and vision models to handle complex tasks...

OmniGlue: The First Learnable Image Matcher Designed with Generalization as a Core Principle

AI Shorts
Local image feature matching techniques help identify fine-grained visual similarities between two images. Although there is a lot of progress in this area, these...

Demystifying Vision-Language Models: An In-Depth Exploration

AI Shorts
Vision-language models (VLMs), capable of processing both images and text, have gained immense popularity due to their versatility in solving a wide range of...
123...110Page 1 of 110

Galileo Introduces Luna: An Evaluation Foundation Model to Catch Language Model Hallucinations with High...

Asif Razzaq - 0
The Galileo Luna represents a significant advancement in language model evaluation. It is specifically designed to address the prevalent issue of hallucinations in large...

Yandex Introduces YaFSDP: An Open-Source AI Tool that Promises to Revolutionize LLM Training by...

Asif Razzaq - 0
Developing large language models requires substantial investments in time and GPU resources, translating directly into high costs. The larger the model, the more pronounced...

Gretel AI Releases a New Multilingual Synthetic Financial Dataset on HuggingFace 🤗 for AI...

Asif Razzaq - 0
Detecting personally identifiable information PII in documents involves navigating various regulations, such as the EU’s General Data Protection Regulation (GDPR) and various U.S. financial...

Snowflake AI Research Team Unveils Arctic: An Open-Source Enterprise-Grade Large Language Model (LLM) with...

Asif Razzaq - 0
Snowflake AI Research has launched the Arctic, a cutting-edge open-source large language model (LLM) specifically designed for enterprise AI applications, setting a new standard...

Google DeepMind Releases RecurrentGemma: One of the Strongest 2B-Parameter Open Language Models Designed for...

Adnan Hassan - 0
Language models are the backbone of modern artificial intelligence systems, enabling machines to understand and generate human-like text. These models, which process and predict...

Recent articles

Discord Linkedin Reddit Twitter
© Copyright Reserved @2023 Marktechpost Media Inc.

🐝 🐝 Join the Fastest Growing AI Research Newsletter...

Join Now
X