Marktechpost

DECEMBER 23, 2023

Deep Neural Networks (DNNs) represent a powerful subset of artificial neural networks (ANNs) designed to model complex patterns and correlations within data. These sophisticated networks consist of multiple layers of interconnected nodes, enabling them to learn intricate hierarchical representations.

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Marktechpost

DECEMBER 30, 2023

The remarkable potentials of Artificial Intelligence (AI) and Deep Learning have paved the way for a variety of fields ranging from computer vision and language modeling to healthcare, biology, and whatnot. Operator learning includes creating an optimization problem in order to find the ideal neural network parameters.

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Marktechpost

JULY 23, 2023

Artificial intelligence is making noteworthy strides in the field of computer vision. One key area of development is deep learning, where neural networks are trained on huge datasets of images to recognize and classify objects, scenes, and events. All Credit For This Research Goes To the Researchers on This Project.

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NVIDIA

MARCH 3, 2025

The AI-based fire-detection pipeline uses the NVIDIA cuDNN library of deep neural network primitives and the NVIDIA TensorRT software development kit for thermal anomaly detection and cloud masking in space, leading to high-precision fire detections.

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Unite.AI

MARCH 2, 2025

Artificial Intelligence (AI) is evolving at an unprecedented pace, with large-scale models reaching new levels of intelligence and capability. From early neural networks to todays advanced architectures like GPT-4 , LLaMA , and other Large Language Models (LLMs) , AI is transforming our interaction with technology.

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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

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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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

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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Neural Network Explainability Machine Learning Python 122

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.

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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

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

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

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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Neural Network Deep Learning AI Researcher AI Research 144

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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Towards AI

JANUARY 23, 2025

Mr_oxo is looking for people to collaborate with on Computer Vision projects as accountability partners and problem-solving buddies. If youre passionate about computer vision and want to level up your skills while working on projects, connect in the thread! If this sounds interesting, reach out in the thread!

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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.

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Marktechpost

DECEMBER 13, 2024

Neural networks have become foundational tools in computer vision, NLP, and many other fields, offering capabilities to model and predict complex patterns. This understanding is essential for designing more efficient training algorithms and enhancing the interpretability and robustness of neural networks.

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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

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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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

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.

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Towards AI

DECEMBER 16, 2024

The Top 10 AI Research Papers of 2024: Key Takeaways and How You Can Apply Them Photo by Maxim Tolchinskiy on Unsplash As the curtains draw on 2024, its time to reflect on the innovations that have defined the year in AI. So, grab a coffee (or a milkshake, if youre like me) and lets explore the top AI research papers of 2024.

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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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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.

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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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Towards AI

DECEMBER 16, 2024

The Top 10 AI Research Papers of 2024: Key Takeaways and How You Can Apply Them Photo by Maxim Tolchinskiy on Unsplash As the curtains draw on 2024, its time to reflect on the innovations that have defined the year in AI. So, grab a coffee (or a milkshake, if youre like me) and lets explore the top AI research papers of 2024.

AI Researcher 98

AI Researcher AI Research Computer Vision Neural Network 98

Towards AI

DECEMBER 16, 2024

The Top 10 AI Research Papers of 2024: Key Takeaways and How You Can Apply Them Photo by Maxim Tolchinskiy on Unsplash As the curtains draw on 2024, its time to reflect on the innovations that have defined the year in AI. So, grab a coffee (or a milkshake, if youre like me) and lets explore the top AI research papers of 2024.

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AI Researcher AI Research Computer Vision Neural Network 98

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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Towards AI

DECEMBER 16, 2024

The Top 10 AI Research Papers of 2024: Key Takeaways and How You Can Apply Them Photo by Maxim Tolchinskiy on Unsplash As the curtains draw on 2024, its time to reflect on the innovations that have defined the year in AI. So, grab a coffee (or a milkshake, if youre like me) and lets explore the top AI research papers of 2024.

AI Researcher 97

AI Researcher AI Research Computer Vision Neural Network 97

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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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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AI Researcher AI Research Natural Language Processing Neural Network 112

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

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.

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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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Neural Network AI Researcher AI Research AI 114

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

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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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