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

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. If you like our work, you will love our newsletter.

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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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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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Marktechpost

OCTOBER 21, 2023

To combine computer-generated visuals or deduce the physical characteristics of a scene from pictures, computer graphics, and 3D computer vision groups have been working to create physically realistic models for decades. All Credit For This Research Goes To the Researchers on This Project.

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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. TensorFlow.js Eagle Eagle is the best program for arranging pictures and concepts.

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Viso.ai

DECEMBER 18, 2023

Organizations can easily source data to promote the development, deployment, and scaling of their computer vision applications. Viso Suite is the End-to-End, No-Code Computer Vision Platform – Learn more What is Synthetic Data? Neural networks can also synthesize unstructured data like images and video.

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Marktechpost

JULY 6, 2023

Image segmentation has come a long way in the last decade, thanks to the advancement in neural networks. 3D instance segmentation has emerged as a critical task with significant applications in fields such as robotics and augmented reality. Check out the Paper and Project.

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Marktechpost

AUGUST 6, 2023

Most current bottom-up LTA strategies are implemented as end-to-end trained neural networks using visual inputs. They suggest examining whether large language models (LLMs) may profit from films because of their success in robotic planning and program-based visual question answering.

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Towards AI

JANUARY 25, 2023

Last Updated on January 25, 2023 by Editorial Team Author(s): Sergi Castella i Sapé Originally published on Towards AI. Trends in AI — 2023 Round-up What’s next for Language Models, Reinforcement Learning, Computer Vision, and leading AI companies like OpenAI and Google? Image by Zeta Alpha. Let’s dive in! ?️

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Topbots

MAY 17, 2023

The Most Influential Research Papers on Image Generation with Diffusion Models 1. If the diffusion process involves small quantities of Gaussian noise, the transitions of the sampling chain can be set to conditional Gaussians, making the neural network parameterization particularly straightforward. How is the problem approached?

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Viso.ai

FEBRUARY 13, 2024

About us: We are the creators of Viso Suite – the end-to-end computer vision solution. We work with enterprises and large companies to solve business challenges with no-code computer vision AI. Viso Suite is the only end-to-end computer vision platform What is Artificial Intelligence?

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IBM Journey to AI blog

APRIL 18, 2024

However, if AGI development uses similar building blocks as narrow AI, some existing tools and technologies will likely be crucial for adoption. The exact nature of general intelligence in AGI remains a topic of debate among AI researchers.

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Marktechpost

JULY 2, 2023

Computer Vision systems In today’s world, computer vision systems are prevalent in various gadgets such as video surveillance cameras, robots, and other devices. Another major company in the industry, Microsoft, is also competing to build an efficient AI platform.

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Dlabs.ai

MARCH 17, 2021

And her research expertise spans AI, machine learning , deep learning , computer vision , and cognitive neuroscience. Dr Li has also written more than 100 articles and books, among others, Crowdsourcing in Computer Vision. Haven’t you heard about Coursera?

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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.

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Marktechpost

JANUARY 3, 2024

In the swiftly evolving domain of computer vision, the breakthrough in transforming a single image into a 3D object structure is a beacon of innovation. This method marks a significant advance in neural 3D reconstruction, offering a practical and efficient solution for creating 3D models from single images.

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The MLOps Blog

FEBRUARY 22, 2024

You can implement architectural approaches, for example, by creating dedicated, specialized subnetworks like in Progressive Neural Networks or by simply having multiple model heads (last layers), which are selected based on the input data characteristics (which can be, for example, the task label in task-incremental scenarios).

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Topbots

JANUARY 11, 2023

.” — Sir Arthur Eddington In Part 1 of this series, I said “I will refrain from saying that Generative Artificial Intelligence (AI) is the basis for a third school of epistemology”, but recently, I read about the challenges in Generative AI from the perspective of metaphysics. Sign up for more AI research updates.

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Topbots

FEBRUARY 1, 2023

As Bryan Arthur predicts, the tools appear to solve the problems of the times and machine learning, neural networks and genetic algorithms are all examples of the tools required to produce these combinatorial solutions. We even have graph neural networks to better understand biological and social connectivity.

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Topbots

APRIL 11, 2023

If you’d like to skip around, here are the language models we featured: BERT by Google GPT-3 by OpenAI LaMDA by Google PaLM by Google LLaMA by Meta AI GPT-4 by OpenAI If this in-depth educational content is useful for you, you can subscribe to our AI research mailing list to be alerted when we release new material.

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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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Marktechpost

SEPTEMBER 21, 2023

Large “foundation models” have taken the lead in tackling problems in mathematical reasoning, computer vision, and natural language processing. In several earlier studies, matched visual, linguistic, and action data were gathered, and a single neural network was trained to handle long-horizon tasks.

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Bugra Akyildiz

JANUARY 2, 2024

Originally developed for language, it has proven useful in domains as varied as computer vision , audio , genomics , protein folding , and more. This year, our work on scaling vision transformers demonstrated state-of-the-art results across a wide variety of vision tasks, and has also been useful in building more capable robots.

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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. This capability is significant in robotics, augmented reality, medical imaging, and cultural heritage preservation. Despite notable progress, challenges persist.

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Marktechpost

DECEMBER 24, 2023

Although it would be helpful for applications like autonomous driving and mobile robotics, monocular estimation of metric depth in general situations has been difficult to achieve. Through their investigations, the researchers also discovered that v-parameterization significantly boosts inference speed in neural network denoising.

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ODSC - Open Data Science

APRIL 19, 2023

This is the perfect session if you have no previous understanding of artificial neural networks. This is where you’ll be introduced to Colossal-AI, a unified parallel training system designed to seamlessly integrate different paradigms of parallelization techniques. There you’ll learn from those who are driving the future.

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ODSC - Open Data Science

APRIL 11, 2023

Speaker: Akash Tandon, Co-Founder and Co-author of Advanced Analytics with PySpark | Looppanel and O’Reilly Media Self-Supervised and Unsupervised Learning for Conversational AI and NLP Self-supervised and Unsupervised learning techniques such as Few-shot and Zero-shot learning are changing the shape of AI research and product community.

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Marktechpost

MAY 10, 2024

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. The skilled professionals at MakeML will assist you in developing a Computer Vision solution and incorporating it into your product.

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Pickl AI

JANUARY 23, 2023

but performs very well with neural networks. The machine learning models developed by TensorFlow are simple to construct, capable of producing reliable results, and allow for effective experimentation in research. Keras supports a high-level neural network API written in Python. It is a collection of powerful APIs.

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Marktechpost

JULY 7, 2023

Numerous applications, such as robotics, autonomous driving, and video editing, benefit from video segmentation. Deep neural networks have made great progress in the last several years. However, the existing approaches need help with untried data, especially in zero-shot scenarios.

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Google Research AI blog

JANUARY 18, 2023

Accomplish complex, multi-step actions in both the virtual software world and the physical world of robotics. I will begin with a discussion of language, computer vision, multi-modal models, and generative machine learning models. Top Computer Vision Computer vision continues to evolve and make rapid progress.

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Marktechpost

JULY 18, 2023

The science of computer vision has recently seen dramatic changes in object identification, which is often regarded as a difficult area of study. Object localization and classification is a difficult area of study in computer vision because of the complexity of the two processes working together.

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Marktechpost

DECEMBER 10, 2023

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. The skilled professionals at MakeML will assist you in developing a Computer Vision solution and incorporating it into your product.

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Applied Data Science

MARCH 11, 2022

Gamification in AI — How Learning is Just a Game A walkthrough from Minsky’s Society of Mind to today’s renaissance of multi-agent AI systems. Yet here are some success stories from AI research proving that, once achieved, gamification can bring field-breaking benefits.

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Topbots

JULY 6, 2023

If you’d like to skip around, here are the language models we featured: GPT-3 by OpenAI LaMDA by Google PaLM by Google Flamingo by DeepMind BLIP-2 by Salesforce LLaMA by Meta AI GPT-4 by OpenAI If this in-depth educational content is useful for you, you can subscribe to our AI research mailing list to be alerted when we release new material.

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Marktechpost

SEPTEMBER 17, 2023

Video and audio recordings of people saying or doing things they never said or did can be created using AI deepfake generators and software tools that use artificial intelligence to make convincing fakes. A neural network is trained using a massive collection of authentic media featuring the target individual to accomplish this.

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