Marktechpost

NOVEMBER 7, 2023

It comprises two components: an Actionable Grasp Point Predictor model and a state-of-the-art rigid object grasping approach. AO-Grasp consistently outperforms Contact-GraspNet and Where2Act across various object states and categories. AO-Grasp shows robust generalization across unseen categories during training.

Robotics 126

Robotics AI Researcher AI Research ML 126

Marktechpost

MARCH 22, 2024

There are three ways in which DATALORE enhances the user experience: DATALORE’s related table discovery can improve search results by sorting relevant tables (both semantic and transformation-based) into distinct categories. Because it can handle numeric, textual, and categorical data, DATALORE normally beats EDV in every category.

Machine Learning 135

Machine Learning Explainability Categorization ETL 135

Marktechpost

AUGUST 1, 2023

However, the challenge lies in the variation of object categories and scenes. The ideal large-scale learning dataset should include many image types, encompassing as many categories as possible, with high-quality bounding box annotations and extensive category vocabularies. AP (Average Precision).

Deep Learning 97

Deep Learning ML AI Researcher AI Research 97

Google Research AI blog

AUGUST 28, 2023

To overcome this, the open-vocabulary detection task (OVD) has emerged, utilizing image-text pairs for training and incorporating new category names at test time by associating them with the image content. By treating categories as text embeddings, open-vocabulary detectors can predict a wide range of unseen objects. mask AP r.

Convolutional Neural Networks 71

Convolutional Neural Networks Computer Vision Neural Network 71

Towards AI

FEBRUARY 1, 2024

This week, I had a fantastic discussion with Mariam Brian, an amazing artist and CEO of Holo Art. This episode is perfect for those curious about how AI is not just a tool but a collaborator in the creative process, transforming traditional art forms and pioneering new expressions of creativity. Learn AI Together Community section!

Data Mining 96

Data Mining Large Language Models AI AI 96

Marktechpost

JULY 29, 2023

They aimed to train a generative model that can synthesize features by providing class names, which enables them to generate features for categories without data. This is particularly useful in scenarios where collecting real data for certain classes might be challenging or impossible.

AI Researcher 92

AI Researcher AI Research Generative AI Data Scarcity 92

Marktechpost

DECEMBER 8, 2023

The study tackles the complex task of reconstructing 3D objects and articulated hands from monocular video sequences without relying on pre-scanned object templates or limited training categories. Existing methods often need help with template reliance or restricted generalization capabilities. Check out the Paper, Project , and Github.

AI 96

AI AI AI Researcher AI Research 96

Marktechpost

FEBRUARY 14, 2024

Fine-Grained Image Recognition (FGIR) represents a specialized domain focusing on the detailed recognition of subcategories within broader semantic categories. Hawkeye encompasses 16 representative methods spanning six paradigms in FGIR, providing researchers with a holistic understanding of current state-of-the-art techniques.

Deep Learning 122

Deep Learning Categorization ML Artificial Intelligence 122

Marktechpost

MARCH 14, 2024

According to earlier studies, these state-of-the-art (SOTA) VLMs perform exceptionally well on a wide range of vision-based reasoning and understanding tasks. Performance Analysis: A thorough analysis has been conducted of VLM performance, breaking down its abilities into three categories: perception, inference, and hypothesis testing.

Machine Learning 124

Machine Learning Large Language Models LLM AI 124

Unite.AI

JANUARY 8, 2024

I'll even show you how to generate and embed AI art into your article using Photosonic! searching for keywords, checking for plagiarism, generating AI art with Photosonic, etc.) Finally, Writesonic offers additional tools to take your content even further, like an AI art generator and an AI voice generator. What is Writesonic?

Chatbots 298

Chatbots AI AI ChatGPT 298

ODSC - Open Data Science

MAY 4, 2023

The German-born artist, Boris Eldagsen revealed, on his website , that he was not accepting the prize for the creative category. But why did the photographer who studied at the Art Academy of Mainz and at the Academy of Fine Arts in Prague do this?

Data Science 52

Data Science AI AI Generative AI 52

Unite.AI

APRIL 26, 2024

This article aims to cover the Mini-Gemini framework in depth, and we explore the mechanism, the methodology, the architecture of the framework along with its comparison with state of the art frameworks. As it can be observed, the Mini-Gemini framework delivers superior performance when compared against state of the art frameworks.

Large Language Models 162

Large Language Models Natural Language Processing Convolutional Neural Networks Neural Network 162

Marktechpost

JULY 16, 2023

For solving inverse problems, there are two categories of approaches: supervised techniques, where a restoration model is trained to complete the task, and unsupervised methods, where a generative model uses the prior it has learned to direct the restoration process. The results showed state-of-the-art performance.

Algorithm 97

Algorithm AI Tools AI AI 97

Marktechpost

JANUARY 3, 2024

More sophisticated multi-stage training paradigms are used by state-of-the-art techniques like E5 and BGE, which pre-train on weakly-supervised text pairs and fine-tune on labeled datasets to improve resilience and performance. In conclusion, this study shows that using LLMs can significantly increase the quality of text embeddings.

Artificial Intelligence 105

Artificial Intelligence Artificial Intelligence Large Language Models BERT 105

Marktechpost

SEPTEMBER 6, 2023

While state-of-the-art LLMs do far better than humans can on tasks involving textual information retrieval, state-of-the-art VLMs struggle with visual information-seeking datasets like Infoseek, Oven, and OK-VQA. Youngsters need to be taught to recognize fine-grained categories and specifics in images.

Large Language Models 137

Large Language Models LLM Metadata AI 137

Marktechpost

DECEMBER 1, 2023

State-of-the-art methodologies in FER have undergone a significant transformation. This step aimed to achieve an equal number of images for each emotion category within the FER2013_balanced dataset. Methodologies have advanced from manual extraction to CNNs and transformer-based models.

Convolutional Neural Networks 107

Convolutional Neural Networks Affective Computing Neural Network AI 107

Unite.AI

JANUARY 18, 2024

LVMs are a new category of AI models specifically designed for analyzing and interpreting visual information, such as images and videos, on a large scale, with impressive accuracy. This is where the emergence of Large Vision Models (LVMs) becomes crucial.

Computer Vision 264

Computer Vision OpenAI Artificial Intelligence Artificial Intelligence 264

Unite.AI

OCTOBER 31, 2023

Comparison of text-to-image models on various evaluations The use of automated evaluations and benchmarks has provided clear evidence of its capabilities, solidifying its position as a state-of-the-art text-to-image generator. DALL-E 3 Prompts and Abilities DALL-E 3 offers a more logical and refined approach to creating visuals.

OpenAI 264

OpenAI ChatGPT Neural Network Prompt Engineer 264

Marktechpost

JUNE 19, 2023

However, there is a certain downside to existing detection models regarding the number of base categories they can identify. Previous trials have indicated that if a detection model is trained on the COCO dataset, its capability to detect approximately 80 categories can be attained.

AI Researcher 57

AI Researcher AI Research Convolutional Neural Networks Computer Vision 57

NVIDIA

MARCH 19, 2024

NPN awards categories span a multitude of competencies and industries, including service delivery, data center networking, public sector, healthcare and higher education. Three new categories were created this year. and collaborating with NVIDIA to launch ARC, a 5G/6G platform targeted for next-gen wireless networks.

Machine Learning 90

Machine Learning AI AI Software Engineer 90

Marktechpost

APRIL 12, 2024

The team has shared that they have attained state-of-the-art results on MTEB by combining LLM2Vec with supervised contrastive learning. The method has set a new benchmark performance in unsupervised learning on the Massive Text Embeddings Benchmark (MTEB).

LLM 104

LLM Large Language Models NLP Natural Language Processing 104

Marktechpost

MARCH 5, 2024

Initial experiments with a patch-based transformer model already demonstrate a notable improvement over existing state-of-the-art pose prediction methods, showcasing the potential of this distributed ray representation.

AI 98

AI AI ML Computer Vision 98

Marktechpost

OCTOBER 24, 2023

It surpasses commercial OCR tools and achieves state-of-the-art performance. It surpasses commercial OCR tools, achieving state-of-the-art hierarchical document parsing. The authors introduce the challenging E-Periodica dataset for evaluation, featuring diverse semantic categories and intricate nested structures.

Neural Network 90

Neural Network AI Researcher AI Research ML 90

Marktechpost

AUGUST 21, 2023

This auto decoder maps a 1D vector to each object, removing the need for 3D supervision and catering to a wide range of object categories. Moreover, 3DVADER accommodates datasets spanning multiple categories of diverse objects, which tackles the scalability problem. 3DVADER can generate 3D objects.

AI Modeling 98

AI Modeling AI AI AI Researcher 98

Marktechpost

FEBRUARY 12, 2024

There are 10 SLIM models being released: Sentiment, NER (Named Entity Recognition), Topic, Ratings, Emotions, Entities, SQL, Category, NLI (Natural Language Inference), and Intent. SLIMs are designed to supplement general-purpose LLMs in a complex enterprise workflow.

Automation 139

Automation BERT LLM Python 139

Marktechpost

SEPTEMBER 26, 2023

Large language models (LLMs) have made tremendous strides in the last several months, crushing state-of-the-art benchmarks in many different areas. Gender is not the only social category to feel the effects of this prejudice; religion, color, nationality, handicap, and profession are all included.

AI Researcher 116

AI Researcher AI Research Large Language Models LLM 116

Marktechpost

JANUARY 31, 2024

Ten subtasks have been included in this dataset, grouped under four main categories: faithfulness, privacy, safety, and fairness. The team has shared that RTVLM is the first red teaming dataset that thoroughly compares the state-of-the-art VLMs in these four areas.

Large Language Models 121

Large Language Models AI AI Artificial Intelligence 121

Marktechpost

FEBRUARY 25, 2024

Models are primarily divided into autoregressive (AR) and diffusion-based categories. Despite its limitations in handling long sequences and being confined to a 16kHz sampling rate, MusicMagus significantly advances the state-of-the-art style and timbre transfer, showcasing its innovative approach to music editing.

ML 111

ML AI AI Artificial Intelligence 111

Marktechpost

DECEMBER 5, 2023

A pre-trained discriminative model encodes the image into a hypothesis, such as an object category label, segmentation map, or depth map. They show that their model outperforms previous state-of-the-art TTA methods and is effective across multiple discriminative and generative diffusion model variants.

AI Modeling 110

AI Modeling AI AI AI Researcher 110

Mlearning.ai

OCTOBER 2, 2023

This category is further bifurcated into: Adapters : Introducing small fully connected networks post-Transformer sub-layers, adapters have proven to be remarkably parameter-efficient, achieving competitive performance with less than 4% of the total model parameters being tuned. Read the lora paper for more, here.

Large Language Models 98

Large Language Models BERT Categorization LLM 98

Unite.AI

FEBRUARY 8, 2024

This article delves into the TinySAM framework, exploring its foundational principles, architecture, and performance compared to other state-of-the-art segmentation frameworks. With the dataset, the SAM framework demonstrates remarkable high quality segmentation capabilities for objects irrespective of their shape and category.

Computer Vision 162

Computer Vision Artificial Intelligence Artificial Intelligence 162

Unite.AI

JULY 14, 2023

DeepAI offers an art generator and other generative AI tools, could you share some details on the LLM and open source code that is used? If AI can eliminate entire categories of jobs, then mass unemployment and poverty may follow. Certainly, the same line of reasoning was used to escalate the nuclear arms race.

Computer Vision 233

Computer Vision LLM Software Engineer AI Developer 233

Marktechpost

NOVEMBER 21, 2023

Only 30% of images are detectable by state-of-the-art talking head models, indicating a distribution misalignment. To validate the effectiveness of guided diffusion, the researchers created a validation dataset with prompts from different categories.

LLM 103

LLM Large Language Models Algorithm AI 103

Marktechpost

MARCH 27, 2024

These approaches typically involve classifying feedback into predefined categories or conducting topic modeling to identify underlying themes. and 86% accuracy, respectively, outperforming state-of-the-art baselines like BERT and RoBERTa.

Machine Learning 134

Machine Learning Large Language Models Software Development Natural Language Processing 134

Marktechpost

DECEMBER 20, 2023

Deep neural architectures for 3D point cloud data fall into three categories: projection-based, voxel-based, and point-based methods. Leveraging scale power, PTv3 achieves significant performance improvements, expanding the receptive field. PTv3, building on serialization-based techniques, explores the potential of point cloud serialization.

Robotics 101

Robotics AI AI AI Researcher 101

Marktechpost

MARCH 2, 2024

Even state-of-the-art diffusion models like DALLE 3 struggle with tasks like creating a chair with five legs as shown in Figure 1. While efforts have enhanced object-attribute attachment, missing objects, etc., the generation of objects requiring precise 3D spatial understanding remains a challenge.

LLM 107

LLM Python Generative AI ML 107

Unite.AI

JANUARY 19, 2024

Additionally, we will analyze the results produced by state-of-the-art frameworks that employ encoder-decoder methods. Additionally, many state-of-the-art encoder-decoder methods rely on recognition for single-view 3D reconstruction tasks, which limits their reconstruction capabilities. Let’s dive in.

Convolutional Neural Networks 130

Convolutional Neural Networks Neural Network Explainability Categorization 130