Marktechpost

SEPTEMBER 6, 2023

To overcome this problem, researchers from Skoltech and other institutions have devised a new way to distinguish weighted goods at a supermarket. The researchers used computer vision to facilitate this process. This approach speeds up neural network training even when new produce varieties are introduced.

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Marktechpost

DECEMBER 16, 2023

Researchers from various universities in the UK have developed an open-source artificial intelligence (AI) system, X-Raydar, for comprehensive chest x-ray abnormality detection. The dataset, spanning 13 years, included 2,513,546 chest x-ray studies and 1,940,508 usable free-text radiological reports.

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Marktechpost

JULY 29, 2023

.” In the future, little devices like cell phones may be able to execute programs that can only be computed at massive data centers. This is driving innovation in computing architecture. The discipline of data science is evolving due to the rise of deep neural networks (DNNs).

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Marktechpost

JULY 11, 2023

Matching corresponding points between images is crucial to many computer vision applications, such as camera tracking and 3D mapping. This release empowers researchers and practitioners to utilize LightGlue’s capabilities and contribute to advancing computer vision applications that require efficient and accurate image matching.

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Marktechpost

DECEMBER 5, 2023

The Hierarchically Gated Recurrent Neural Network (HGRN) technique developed by researchers from the Shanghai Artificial Intelligence Laboratory and MIT CSAI addresses the challenge of enhancing sequence modeling by incorporating forget gates in linear RNNs. If you like our work, you will love our newsletter.

Neural Network 85

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Marktechpost

JULY 14, 2023

This image representation comes under a broad category of Computer Vision and Convolutional Neural Networks. Researchers developed a Composed image retrieval (CIR) system to have a minimal loss, but the problem with this method was that it requires a large dataset for training the model.

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Marktechpost

JANUARY 5, 2024

Also, don’t forget to join our 35k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , LinkedIn Gr oup , Twitter , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more. If you like our work, you will love our newsletter.

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AI Weekly

OCTOBER 26, 2023

cryptopolitan.com Applied use cases Alluxio rolls out new filesystem built for deep learning Alluxio Enterprise AI is aimed at data-intensive deep learning applications such as generative AI, computer vision, natural language processing, large language models and high-performance data analytics.

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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.

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Marktechpost

SEPTEMBER 15, 2023

These factors include the availability of huge amounts of data, improvements in computer power, and breakthroughs in the design of neural networks. The post This AI Research Introduces AstroLLaMA: A 7B Parameter Model Fine-Tuned from LLaMA-2 Using Over 300K Astronomy Abstracts From ArXiv appeared first on MarkTechPost.

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Marktechpost

NOVEMBER 29, 2023

Models that rely on data to follow a vehicle include neural networks, recurrent neural networks, and reinforcement learning. Several limitations exist, though, in the current body of research, as follows: To begin, car-following models are not yet well evaluated because of the absence of standard data formats.

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Marktechpost

NOVEMBER 13, 2023

Researchers from Microsoft Mixed Reality & AI Lab, Cambridge, UK, have introduced a groundbreaking approach- HMD-NeMo (HMD Neural Motion Model). This unified neural network generates plausible and accurate full-body motion even when hands are only partially visible. We are also on Telegram and WhatsApp.

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AI Researcher AI Research Neural Network AI 117

AI Weekly

SEPTEMBER 21, 2023

pitneybowes.com In The News How Google taught AI to doubt itself Today let’s talk about an advance in Bard, Google’s answer to ChatGPT, and how it addresses one of the most pressing problems with today’s chatbots: their tendency to make things up. [Get your FREE eBook.] Get your FREE eBook.] You can also subscribe via email.

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Marktechpost

NOVEMBER 16, 2023

Researchers from MIT investigated the scaling behavior of large chemical language models, focusing on both generative pre-trained transformers (GPT) for chemistry (ChemGPT) and graph neural network force fields (GNNs). All credit for this research goes to the researchers of this project.

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Marktechpost

JULY 2, 2023

Implicit neural representations (INRs) or neural fields are coordinate-based neural networks representing a field, such as a 3D scene, by mapping 3D coordinates to color and density values in 3D space. Million+ Pageviews per month and 500,000 AI Community members ? Do You Know Marktechpost has 1.8

Deep Learning 91

Deep Learning AI Researcher AI Research Neural Network 91

Unite.AI

FEBRUARY 16, 2024

It has been the guiding vision of AI research since the earliest days and remains its most divisive idea. Some AI enthusiasts believe that AGI is inevitable and imminent and will lead to a new technological and social progress era. While the vision captivates enthusiasts, challenges persist in realizing this goal.

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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. Join our AI Channel on Whatsapp. If you like our work, you will love our newsletter. We are also on WhatsApp.

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AI Researcher AI Research Neural Network Computer Vision 117

Marktechpost

JULY 2, 2023

Thus, there is a growing demand for explainability methods to interpret decisions made by modern machine learning models, particularly neural networks. The study was also presented at the esteemed Computer Vision and Pattern Recognition Conference, 2023, held in Canada.

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Viso.ai

FEBRUARY 11, 2024

This database has undoubtedly played a great impact in advancing computer vision software research. One of the crucial tasks in today’s AI is the image classification. It is a technique used in computer vision to identify and categorize the main content (objects) in a photo or video. What is ImageNet?

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Marktechpost

AUGUST 13, 2023

This is especially the case when thinking about the robustness and fairness of deep neural network models, both of which are essential for models used in practical settings in addition to their sheer accuracy. A trained deep neural network’s full capabilities, including its robustness, can be assessed this way.

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Marktechpost

JUNE 19, 2023

Instance segmentation refers to the computer vision task of identifying and differentiating multiple objects that belong to the same class within an image by treating them as distinct entities. For instance, convolutional neural networks (CNNs) and other progressive architectures such as Mask R-CNN are used for instance segmentation.

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AI Researcher AI Research Convolutional Neural Networks Computer Vision 57

AssemblyAI

MARCH 21, 2023

While AI systems like ChatGPT or Diffusion models for Generative AI have been in the limelight in the past months, Graph Neural Networks (GNN) have been rapidly advancing. And why do Graph Neural Networks matter in 2023? What is the current role of GNNs in the broader AI research landscape?

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Marktechpost

JULY 4, 2023

The 3D computer vision domain was flooded with NeRFs in recent years. By leveraging neural networks, NeRFs offer a data-driven approach that surpasses traditional methods. By leveraging neural networks, NeRFs offer a data-driven approach that surpasses traditional methods. Check out the Paper.

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AI Weekly

JANUARY 18, 2024

We need a careful balance of policies to tap its potential imf.org AI Ethics in the Spotlight: Examining Public Concerns in 2024 In the early days of January 2024, there were discussions surrounding Midjourney, a prominent player in the AI image-generation field.

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Marktechpost

OCTOBER 30, 2023

Researchers have challenged the prevailing belief in the field of computer vision that Vision Transformers (ViTs) outperform Convolutional Neural Networks (ConvNets) when given access to large web-scale datasets. ConvNets, specifically ResNets, have been the go-to choice for computer vision tasks for years.

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Convolutional Neural Networks Computer Vision Neural Network AI Researcher 96

Marktechpost

NOVEMBER 12, 2023

In deep learning, Transformer neural networks have garnered significant attention for their effectiveness in various domains, especially in natural language processing and emerging applications like computer vision, robotics, and autonomous driving. All credit for this research goes to the researchers of this project.

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Marktechpost

NOVEMBER 10, 2023

In image recognition, researchers and developers constantly seek innovative approaches to enhance the accuracy and efficiency of computer vision systems. All credit for this research goes to the researchers of this project. Check out the Paper. If you like our work, you will love our newsletter.

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Convolutional Neural Networks Computer Vision Natural Language Processing Neural Network 103

Marktechpost

SEPTEMBER 12, 2023

Image-to-image translation (I2I) is an interesting field within computer vision and machine learning that holds the power to transform visual content from one domain into another seamlessly. It leverages the capabilities of deep learning models, such as Generative Adversarial Networks (GANs) and Convolutional Neural Networks (CNNs).

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Convolutional Neural Networks AI Modeling Computer Vision Neural Network 135

Marktechpost

DECEMBER 8, 2023

Neural Radiance Fields (NeRF) represent an innovative 3D scene depiction technique in computer graphics and computer vision. Leveraging neural networks, this method is a sophisticated means to render scenes and objects within a three-dimensional space. If you like our work, you will love our newsletter.

Neural Network 107

Neural Network Computer Vision AI AI 107

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. CLIP is a neural network developed by OpenAI trained on a massive dataset of text and image pairs. If you like our work, you will love our newsletter.

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Metadata Computer Vision Neural Network Algorithm 94

Marktechpost

JULY 11, 2023

Deep learning is a subfield of machine learning which enables computers to learn and make predictions from large amounts of data. Artificial neural networks are the key component here which are inspired by the structure and functioning of the human brain. The disconnect between theory and practice is growing. Let’s take a look.

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Neural Network Deep Learning Computer Vision Natural Language Processing 98

Marktechpost

JANUARY 18, 2024

For the applications mentioned above, multiple GPUs in a cluster provide the much-needed accelerated computational power for tasks like image and video processing or training large-parameter neural networks. GPU Clusters are based on the principle of parallel processing and efficient data handling.

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Neural Network Deep Learning Natural Language Processing Computer Vision 123

AI Weekly

DECEMBER 14, 2023

time.com Technologies like artificial intelligence are changing our understanding of war AI has affected how people understand the world, the jobs available in the workforce and judgments of who merits employment or threatens society. Many of the services only work on women. cnet.com The limitations of being human got you down?

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Marktechpost

NOVEMBER 18, 2023

Due to artifacts and ambient noise in the underwater picture, the computer vision system finds it challenging to discriminate between the target item in the foreground and the background. In most classification jobs, manual feature extractors are replaced by deep neural network (DNN) models.

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Marktechpost

AUGUST 13, 2023

These coefficients encompass diffuse reflectance, material specular reflectance, and normal vectors, which are generated through a neural network. The post AI Researchers From Apple And The University Of British Columbia Propose FaceLit: A Novel AI Framework For Neural 3D Relightable Faces appeared first on MarkTechPost.

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AI Researcher AI Research Neural Network AI 98

Marktechpost

SEPTEMBER 4, 2023

Recent advancements in deep neural networks have enabled new approaches to address anatomical segmentation. For instance, state-of-the-art performance in the anatomical segmentation of biomedical images has been attained by deep convolutional neural networks (CNNs). If you like our work, you will love our newsletter.

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Convolutional Neural Networks Neural Network Deep Learning AI 128

Pickl AI

APRIL 19, 2024

Ultimately, you will also learn how to become an AI expert and how professional certification courses can help you gain AI skills. Key Takeaways AI encompasses machine learning, neural networks, NLP, and robotics. Vital in healthcare, finance, and transportation, AI offers diverse career opportunities.

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Neural Network Natural Language Processing Machine Learning Computer Vision 52