Marktechpost

JULY 2, 2023

They also perform increasingly impressively in other domains, such as computer vision, graphs, and multi-modal settings. Deep learning hardware has previously been extensively developed in digital electronics, including GPUs, mobile accelerator chips, FPGAs, and large-scale AI-dedicated accelerator systems.

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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

JANUARY 13, 2024

There has been a dramatic increase in the complexity of the computer vision model landscape. Many models are now at your fingertips, from the first ConvNets to the latest Vision Transformers. To fill this gap, a new study by MBZUAI and Meta AI Research investigates model characteristics beyond ImageNet correctness.

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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

OCTOBER 28, 2023

To address this issue, NYU researchers have introduced an “interpretable-by-design” approach that not only ensures accurate predictive outcomes but also provides insights into the underlying biological processes, specifically RNA splicing. Join our AI Channel on Whatsapp. If you like our work, you will love our newsletter.

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Marktechpost

NOVEMBER 25, 2023

Also, don’t forget to join our 33k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , 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.

Neural Network 120

Neural Network AI Researcher AI Research Deep Learning 120

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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Neural Network Computer Vision AI Tools AI Researcher 98

Heartbeat

DECEMBER 20, 2023

This blog aims to equip you with a thorough understanding of these powerful neural network architectures. Whether you’re a seasoned AI researcher or a budding enthusiast in machine learning, the insights offered here will deepen your understanding and guide you in leveraging the full potential of CNNs in various applications.

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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

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 104

Neural Network Artificial Intelligence Artificial Intelligence Natural Language Processing 104

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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Convolutional Neural Networks AI Researcher AI Research Neural Network 98

Unite.AI

OCTOBER 22, 2024

We use Big O notation to describe this growth, and quadratic complexity O(n²) is a common challenge in many AI tasks. Put simply, if we double the input size, the computational needs can increase fourfold. Initially, many AI algorithms operated within manageable complexity limits.

Neural Network 147

Neural Network Convolutional Neural Networks Deep Learning Natural Language Processing 147

Marktechpost

SEPTEMBER 8, 2023

Also, don’t forget to join our 30k+ ML SubReddit , 40k+ Facebook Community, Discord Channel , 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.

Neural Network 111

Neural Network Deep Learning AI Researcher AI Research 111

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.

Neural Network 204

Neural Network Convolutional Neural Networks Robotics Deep Learning 204

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.

Neural Network 144

Neural Network Deep Learning AI Researcher AI Research 144

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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Neural Network Robotics ChatGPT Computer Vision 178

Kavita Ganesan

JANUARY 27, 2022

It provides an introduction to deep neural networks in Python. Andrew is an expert on computer vision, deep learning, and operationalizing ML in production at Google Cloud AI Developer Relations. Neural Network Basics We will start with some basics on neural networks.

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Neural Network Python Deep Learning Convolutional Neural Networks 52

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?

AI Researcher 111

AI Researcher AI Research Natural Language Processing Neural Network 111

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.

AI Researcher 111

AI Researcher AI Research Neural Network Algorithm 111

Marktechpost

DECEMBER 26, 2023

Single-view 3D reconstruction stands at the forefront of computer vision, presenting a captivating challenge and immense potential for various applications. Overcoming this challenge has been a focal point in the realm of computer vision research, leading to innovative methodologies and advancements.

Computer Vision 116

Computer Vision Neural Network Robotics AI 116

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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AI Researcher AI Research Large Language Models Neural Network 135

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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Robotics Computer Vision Artificial Intelligence Artificial Intelligence 225

Marktechpost

OCTOBER 18, 2023

One of the biggest challenges in Machine Learning has always been to train and use neural networks efficiently. The idea of compilation is a potentially effective remedy that can balance the needs for computing efficiency and model size. It is inefficient to rebuild the entire network from scratch every time you train a model.

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Deep Learning Neural Network Natural Language Processing Computer Vision 124

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 98

Deep Learning AI Researcher AI Research Neural Network 98

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.

Deep Learning 105

Deep Learning Neural Network Computer Vision AI 105

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.

AI Researcher 119

AI Researcher AI Research Neural Network AI 119

Marktechpost

JUNE 4, 2024

Modern Deep Neural Networks (DNNs) are inherently opaque; we do not know how or why these computers arrive at the predictions they do. An emerging area of study called Explainable AI (XAI) has arisen to shed light on how DNNs make decisions in a way that humans can comprehend. Check out the Paper.

Machine Learning 119

Machine Learning Neural Network Explainability Natural Language Processing 119

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.

AI Researcher 124

AI Researcher AI Research Neural Network Computer Vision 124

Marktechpost

JULY 16, 2023

The Vision Transformer (ViT) rapidly replaces convolution-based neural networks because of its simplicity, flexibility, and scalability. Feeding data into a deep neural network during training and operation in batches is common practice. All Credit For This Research Goes To the Researchers on This Project.

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Convolutional Neural Networks Neural Network Computer Vision Natural Language Processing 98

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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IBM Journey to AI blog

OCTOBER 12, 2023

However, AI capabilities have been evolving steadily since the breakthrough development of artificial neural networks in 2012, which allow machines to engage in reinforcement learning and simulate how the human brain processes information. Emotion AI is a theory of mind AI currently in development.

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Artificial Intelligence Artificial Intelligence Emotion AI Computer Vision 240

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

DECEMBER 24, 2023

The release of Transformers has marked a significant advancement in the field of Artificial Intelligence (AI) and neural network topologies. Understanding the workings of these complex neural network architectures requires an understanding of transformers. Check out the Paper.

Machine Learning 126

Machine Learning Neural Network Natural Language Processing Computer Vision 126

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.

AI Researcher 59

AI Researcher AI Research Convolutional Neural Networks Computer Vision 59

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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Neural Network AI Modeling Computer Vision AI 111

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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Convolutional Neural Networks Computer Vision Neural Network Deep Learning 52

Viso.ai

DECEMBER 20, 2023

In this blog article, we’ll explore MindSpore in-depth: Understanding the Architecture Reviewing Optimization Techniques Exploring Adaptability Ease of development Upsides and Commercial Risks About us : Viso Suite is the most powerful end-to-end computer vision platform. It accelerates AI research and prototype development.

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Deep Learning Neural Network Computer Vision Natural Language Processing 52