Marktechpost

NOVEMBER 16, 2023

Dynamic view synthesis is a computer vision and graphic task attempting to reconstruct dynamic 3D scenes from captured videos and generate immersive virtual playback. Furthermore, a differentiable depth peeling algorithm is developed, utilizing the hardware rasterizer to achieve unprecedented rendering speed.

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Marktechpost

OCTOBER 18, 2023

The discipline of robotics continues to be more fragmented than others, such as computer vision or natural language processing, where benchmarks and datasets are standardized. Metrics and Baselines RoboHive uses short and unambiguous metrics to assess algorithm performance in various situations. Join our AI Channel on Whatsapp.

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Robotics Artificial Intelligence Artificial Intelligence AI Researcher 111

Marktechpost

JULY 23, 2023

The number of AI and, in particular, machine learning (ML) publications related to medical imaging has increased dramatically in recent years. ML models are constantly being developed to improve healthcare efficiency and outcomes, from classification to semantic segmentation, object detection, and image generation.

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Marktechpost

OCTOBER 21, 2023

This process has been a long-standing research problem in computer vision and graphics, a process that holds significant promise in the field of VR/AR, sports broadcasting, and artistic performance capturing. The researchers evaluated the performance of 4K4D on multiple datasets such as DNA-Rendering, ENeRF-Outdoor, etc.

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Topbots

DECEMBER 5, 2023

Top 10 AI Research Papers 2023 1. Sparks of AGI by Microsoft Summary In this research paper, a team from Microsoft Research analyzes an early version of OpenAI’s GPT-4, which was still under active development at the time. Sign up for more AI research updates. Enjoy this article?

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Marktechpost

OCTOBER 5, 2023

In computer vision, inferring detailed object shading from a single image has long been challenging. Their approach tackles the inherent challenge of inferring shade trees by employing a hybrid method that combines auto-regressive inference with optimization algorithms. Check out the Paper and Project.

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Marktechpost

NOVEMBER 29, 2023

As a result, creating adaptable algorithms and representative datasets that cover a range of driving styles, behaviors, and traffic situations is essential for including driving heterogeneity in car-following models. All credit for this research goes to the researchers of this project.

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AI Weekly

JUNE 22, 2023

What kind of plan Lenovo has for its AI systems Lenovo worked with 45 software partners to release. gizchina.com AI in Packaging Market is expected to hit US$ 6,015.6 What kind of plan Lenovo has for its AI systems Lenovo worked with 45 software partners to release. techxplore.com What Is Unsupervised Machine Learning?

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TheSequence

JUNE 28, 2023

I found out about a Master’s program at the University of Edinburgh in Machine Learning and Computer vision and was determined to attend the program. 🛠 ML Work You recently worked on AlphaDev, which reached a major milestone by discovering new sorting algorithms. sorting 3 elements) from scratch.

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Marktechpost

DECEMBER 10, 2023

DeepCache performs better than retraining-required pruning and distillation algorithms, sustaining its higher efficacy under the In conclusion, DeepCache definitely shows great promise as a diffusion model accelerator, providing a useful and affordable substitute for conventional compression techniques.

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AI Weekly

JULY 13, 2023

theguardian.com Sarah Silverman sues OpenAI and Meta claiming AI training infringed copyright The US comedian and author Sarah Silverman is suing the ChatGPT developer OpenAI and Mark Zuckerberg’s Meta for copyright infringement over claims that their artificial intelligence models were trained on her work without permission. AlphaGO was.

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Marktechpost

JULY 21, 2023

We are all amazed by the advancement we have seen in AI models recently. We’ve seen how generative models revolutionized themselves by going from a funky image generation algorithm to the point where it became challenging to differentiate the AI-generated content from real ones. But the human element is always in the equation.

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Viso.ai

DECEMBER 1, 2023

We will explore popular use cases of AI models and discuss how they can be used effectively in business and other settings. In particular, we will cover the following: Concepts of AI vs. ML vs. DL What is an AI model, what’s an ML model, or a DL model? In simple words, ML or machine learning is a part of AI.

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Marktechpost

OCTOBER 31, 2023

In recent years, there have been exceptional advancements in Artificial Intelligence, with many new advanced models being introduced, especially in NLP and Computer Vision. It has helped advance numerous computer vision research and has supported modern recognition systems and generative models.

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Metadata Computer Vision Neural Network Algorithm 88

Marktechpost

NOVEMBER 21, 2023

Addressing limitations in capturing thin structures and reducing artifacts through iterative procedures and algorithmic advancements is identified as an avenue for future research. All credit for this research goes to the researchers of this project. Check out the Paper.

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Pickl AI

JANUARY 23, 2023

People don’t even need the in-depth knowledge of the various machine learning algorithms as it contains pre-built libraries. PyTorch PyTorch is a popular, open-source, and lightweight machine learning and deep learning framework built on the Lua-based scientific computing framework for machine learning and deep learning algorithms.

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Machine Learning ML Neural Network Auto-classification 52

BAIR

MARCH 11, 2024

graduates have each expanded the frontiers of AI research and are now ready to embark on new adventures in academia, industry, and beyond. These fantastic individuals bring with them a wealth of knowledge, fresh ideas, and a drive to continue contributing to the advancement of AI.

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Marktechpost

DECEMBER 28, 2023

Modern object detection algorithms rely heavily on deep learning models that have been trained end-to-end. All credit for this research goes to the researchers of this project. Nevertheless, for object detection to work, one needs the names of the items in the images and precise bounding boxes that surround them completely.

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Machine Learning AI Researcher AI Research Deep Learning 92

Marktechpost

DECEMBER 5, 2023

The system introduces a signal segmentation method using the LSTM algorithm to determine the start and endpoint of human activities accurately. Researchers tested the system and found that it achieved an impressive 97% accuracy rate in recognizing human activities. If you like our work, you will love our newsletter.

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Deep Learning AI Researcher AI Research AI 91

Marktechpost

JULY 23, 2023

In order to meet this requirement, several research institutions worked with MBARI to speed up ocean research by utilizing the capabilities of artificial intelligence and machine learning. To give researchers a rich, engaging standard for underwater visual analysis, the team created FathomNet.

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Topbots

DECEMBER 19, 2023

Generated with Midjourney The NeurIPS 2023 conference showcased a range of significant advancements in AI, with a particular focus on large language models (LLMs), reflecting current trends in AI research. These awards highlight the latest achievements and novel approaches in AI research.

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Large Language Models Natural Language Processing AI Researcher AI Research 110

Marktechpost

NOVEMBER 1, 2023

Reconstructing 3D geometry from a single image represents a foundational undertaking within the domains of computer graphics and 3D computer vision, as evident in prior research. All Credit For This Research Goes To the Researchers on This Project. Check out the Paper and Project.

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Artificial Intelligence Artificial Intelligence Computer Vision Robotics 91

Marktechpost

DECEMBER 23, 2023

DNNs have gained immense prominence in various fields, including computer vision, natural language processing, and pattern recognition, due to their ability to handle large volumes of data and extract high-level features, leading to remarkable advancements in machine learning and AI applications. Check out the Paper.

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Marktechpost

JULY 30, 2023

Visual object tracking is the backbone of numerous subfields within computer vision, including robot vision and autonomous driving. Many state-of-the-art algorithms compete in the Visual Object Tracking (VOT) challenge since it is one of the most important competitions in the tracking field.

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Marktechpost

JUNE 21, 2023

Computer vision is one of the most popular fields of Artificial Intelligence. The models developed using computer vision are able to derive meaningful information from different types of media, be it digital images, videos, or any other visual inputs. Check Out The Paper and Project.

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Marktechpost

AUGUST 5, 2023

Furthermore, using user-friendly algorithms like OpenPose and MediaPipe, recording human postures for virtual content development and VR/AR has significantly increased in popularity. All Credit For This Research Goes To the Researchers on This Project.

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Viso.ai

DECEMBER 21, 2023

Over the past decade, the field of computer vision has experienced monumental artificial intelligence (AI) breakthroughs. This blog will introduce you to the computer vision visionaries behind these achievements. As we go down the list, we discuss the key contributions of every AI influencer.

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Marktechpost

DECEMBER 13, 2023

Large Language Models (LLMs), due to their strong generalization and reasoning powers, have significantly uplifted the Artificial Intelligence (AI) community. These models have shown to be remarkably capable and have showcased the capabilities of Natural Language Processing (NLP), Natural Language Generation (NLG), Computer Vision, etc.

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Marktechpost

JANUARY 22, 2024

Since it helps robots understand and interpret visual input, image annotation is vital in computer vision, robotics, and autonomous driving. Thanks to Keylabs, AI researchers and developers may save time annotating photos. CVAT is available to companies as part of the Viso Suite computer vision application suite.

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Marktechpost

DECEMBER 13, 2023

The research team introduced ECLIPSE priors for the unCLIP diffusion image decoder variations (Karlo and Kandinsky). The ECLIPSE-trained priors outperform their 1 billion parameter counterparts and outperform baseline prior learning algorithms. All credit for this research goes to the researchers of this project.

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AI Researcher AI Research AI AI 97

Marktechpost

JUNE 29, 2023

Meta AI, a leading artificial intelligence (AI) research organization, has recently unveiled a groundbreaking algorithm that promises to revolutionize the field of robotics. However, with Meta AI’s latest algorithm, significant progress has been made in generalizing robot actions.

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Robotics AI Developer AI Development Computer Vision 77

Marktechpost

OCTOBER 4, 2023

The AI’s ability to see and comprehend the visual environment is improved by this feature, which is important for applications ranging from autonomous vehicles to computer vision systems. All Credit For This Research Goes To the Researchers on This Project. But, the method that MonoXiver uses is different.

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Marktechpost

JULY 16, 2023

As a result, computer vision applications must use predetermined batch sizes and geometries to ensure optimal performance on existing hardware. They also see NaViT as a step in the right direction for ViTs because it represents a change from most computer vision models’ conventional, CNN-designed input and modeling pipeline.

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TheSequence

SEPTEMBER 3, 2023

🔎 ML Research RO-ViT Google Research published a paper introducing a technique for training vision transformers in a region-aware manner. Algorithm of Thoughts AI researchers from Microsoft and Virginia Tech University published a paper unveiling Algorith of Thoughts, a new reasoning technique in LLMs.

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OpenAI LLM Computer Vision AI Researcher 97

Marktechpost

DECEMBER 16, 2023

A custom-trained natural language processing (NLP) algorithm, X-Raydar-NLP, labeled the chest X-rays using a taxonomy of 37 findings extracted from the reports. An NLP algorithm, X-Raydar-NLP, was trained on 23,230 manually annotated reports to extract labels. All credit for this research goes to the researchers of this project.

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Marktechpost

DECEMBER 3, 2023

The topic of 3D geometry generation has seen a surge in research interest from the computer vision and graphics community due to the availability of more and more 3D content datasets. The research team shows that style and geometric consistency are highly valued in SceneTex through comprehensive trials.

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Computer Vision Algorithm Robotics AI 109

Marktechpost

MAY 10, 2024

In addition to preparing your ML models for action, you can also test them. MakeML is an online resource that can teach you all you need to know to build AI software and apply Computer Vision to an in-house problem in only a few hours. It simplifies the process of creating and efficiently managing a large dataset.

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