Unite.AI

JANUARY 24, 2025

Traditionally, organizations have relied on real-world datasuch as images, text, and audioto train AI models. This approach has driven significant advancements in areas like natural language processing, computer vision, and predictive analytics. Furthermore, synthetic data is scalable.

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AI Weekly

SEPTEMBER 28, 2023

attention.tech In The News Amazon to Invest up to $4 Billion in AI Firm Anthropic Along with the cash injection, Anthropic will also have access to Amazon Web Services and assist with developing the firm's native chips. makeuseof.com Computer vision's next breakthrough Computer vision can do more than reduce costs and improve quality.

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Unite.AI

OCTOBER 6, 2023

Representing a wide array of industries—from financial services to retail to electronics— attendees seemed increasingly aligned with the idea that an “AI-first” company is no longer an overhyped buzzword but a serious business mandate. They must also devote more resources to developing and implementing the latest AI capabilities.

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IBM Journey to AI blog

FEBRUARY 14, 2024

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.

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Unite.AI

MARCH 6, 2025

It analyzes over 250 data points per property using proprietary algorithms to forecast which homes are most likely to list within the next 12 months. Top Features: Predictive analytics algorithm that identifies 70%+ of future listings in a territory. which the AI will immediately factor into the Zestimate.

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Marktechpost

MAY 10, 2024

Applications that take advantage of machine learning in novel ways are being developed thanks to the rise of Low-Code and No-Code AI tools and platforms. AI can be used to create web services and customer-facing apps to coordinate sales and marketing efforts better.

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IBM Journey to AI blog

OCTOBER 12, 2023

Early iterations of the AI applications we interact with most today were built on traditional machine learning models. These models rely on learning algorithms that are developed and maintained by data scientists. As it’s trained on more data over time, Limited Memory AI can improve in performance.

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Unite.AI

NOVEMBER 27, 2023

Our journey into the realm of AI in fashion brings us to a curated selection of the 10 best AI fashion designer tools. These tools are more than just software; they are gateways to a new era of design, where intuition meets data, style blends with algorithmic precision, and artistic vision is augmented by machine intelligence.

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Flipboard

DECEMBER 3, 2024

Building on years of experience in deploying ML and computer vision to address complex challenges, Syngenta introduced applications like NemaDigital, Moth Counter, and Productivity Zones. His primary focus lies in using the full potential of data, algorithms, and cloud technologies to drive innovation and efficiency.

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Marktechpost

DECEMBER 10, 2023

Applications that take advantage of machine learning in novel ways are being developed thanks to the rise of Low-Code and No-Code AI tools and platforms. AI can be used to create web services and customer-facing apps to coordinate sales and marketing efforts better.

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Unite.AI

JULY 12, 2024

By leveraging advanced AI algorithms, the app identifies the core concepts behind each question and curates the most relevant content from trusted sources across the web. Photomath Photomath is a popular mobile app that uses advanced computer vision and artificial intelligence to provide instant solutions to math problems.

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Viso.ai

JUNE 14, 2024

Given the recent explosion of progress in Machine Learning (ML), most companies are trying to figure out how to implement AI within their own businesses. Computer vision in particular is a strategic advantage for businesses that know how to use it. Increasingly, those industries are also turning to computer vision.

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Unite.AI

MARCH 25, 2025

In the early 2000s when I led a speech recognition company, AI technologies were focused on specific technology applications like speech recognition and computer vision, largely invisible to the general public. Today, AI has moved from specialized applications to becoming foundational across virtually every sector.

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IBM Journey to AI blog

JULY 6, 2023

To keep up with the pace of consumer expectations, companies are relying more heavily on machine learning algorithms to make things easier. Deep learning is a subfield of machine learning, and neural networks make up the backbone of deep learning algorithms. What is artificial intelligence (AI)?

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Viso.ai

MARCH 26, 2024

This drastically enhanced the capabilities of computer vision systems to recognize patterns far beyond the capability of humans. In this article, we present 7 key applications of computer vision in finance: No.1: 4: Algorithmic Trading and Market Analysis No.5: Applications of Computer Vision in Finance No.

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PyImageSearch

JANUARY 2, 2023

Computer Vision and Deep Learning for Oil and Gas Computer Vision and Deep Learning for Transportation Computer Vision and Deep Learning for Logistics Computer Vision and Deep Learning for Healthcare (this tutorial) Computer Vision and Deep Learning for Education To learn about Computer Vision and Deep Learning for Healthcare, just keep reading.

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Marktechpost

JUNE 23, 2023

While important for complying with privacy regulations, anonymization often reduces data quality, which hampers computer vision development. Several challenges exist, such as data degradation, balancing privacy and utility, creating efficient algorithms, and negotiating moral and legal issues.

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Viso.ai

FEBRUARY 19, 2024

The evolution of computer vision technology has paved the way for innovative artificial intelligence (AI) solutions in the legal industry. Beyond traditional applications like people detection, object tracking, and behavior analysis, computer vision has the potential to offer many more creative and nuanced solutions.

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Viso.ai

FEBRUARY 11, 2024

About us: We are viso.ai, the creators of the end-to-end computer vision platform, Viso Suite. With Viso Suite, enterprises can get started using computer vision to solve business challenges without any code. Viso Suite : the only end-to-end computer vision platform Detectron2: What’s Inside?

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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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IBM Journey to AI blog

AUGUST 1, 2023

Together with data stores, foundation models make it possible to create and customize generative AI tools for organizations across industries that are looking to optimize customer care, marketing, HR (including talent acquisition) , and IT functions.

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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.

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Marktechpost

JULY 11, 2023

It is just a matter of time until artificial intelligence entirely replaces human programmers since AI-generated code is getting more accurate. Some could see this negatively, while others think AI will speed up the process of writing better code. Although AI-generated code still needs to be flawless, it is always improving.

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IBM Journey to AI blog

FEBRUARY 23, 2024

The emergence of NLG has dramatically improved the quality of automated customer service tools, making interactions more pleasant for users, and reducing reliance on human agents for routine inquiries. Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development.

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Marktechpost

JULY 23, 2023

One such outcome of this partnership is FathomNet, an open-source image database that employs cutting-edge data processing algorithms to standardize and aggregate carefully curated labeled data. Using AI algorithms raised the labeling rate tenfold while reducing human effort by 81 percent.

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Pickl AI

DECEMBER 26, 2024

AI teams leverage Ultracluster to simulate complex systems, optimise logistics, and enhance computer vision algorithms in robotics and manufacturing. By shortening the development cycles of AI models, Ultracluster has become a cornerstone for organisations striving to stay ahead in the competitive AI space.

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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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Marktechpost

JULY 17, 2023

An algorithm termed Text2Cinemagraph based on twin image synthesis is proposed to bridge the gap between artistic images and animation models designed for real videos. Also, don’t forget to join our 26k+ ML SubReddit , Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more.

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AWS Machine Learning Blog

DECEMBER 14, 2023

Additionally, we cover the seamless integration of generative AI tools like Amazon CodeWhisperer and Jupyter AI within SageMaker Studio JupyterLab Spaces, illustrating how they empower developers to use AI for coding assistance and innovative problem-solving. In his free time, he enjoys playing chess and traveling.

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ODSC - Open Data Science

FEBRUARY 10, 2025

Computer vision systems in dashboard cameras can use video anomaly detection to automatically save clips of unsafe behaviors or crashes. A/V editing software could offer AI tools that highlight portions of interest in video or audio files for streamlined workflows.

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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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Marktechpost

JUNE 25, 2023

Modern machine learning relies heavily on optimization to provide effective answers to challenging issues in areas as varied as computer vision, natural language processing, and reinforcement learning. They enhance the algorithm’s convergence speed and solution quality performance by tweaking the adaptive learning rate method.

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Marktechpost

AUGUST 24, 2023

r/AIethics Ethics are fundamental in AI. r/AIethics has the latest content on how one can use and create various AI tools ethically. r/cogsci Although cognitive science is a large field, the subreddit features postings that in some way relate to the study of the mind from a scientific perspective, also featuring the latest AI.

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Marktechpost

JUNE 8, 2023

Though there has been incredible growth in the domain of Generative Artificial intelligence, the current large-scale AI algorithms still need to improve in achieving human-like visual scene understanding. but such an understanding has yet to be achieved by AI.

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NVIDIA

JULY 12, 2024

Two SIGGRAPH papers improve sampling quality for ReSTIR, a path-tracing algorithm first introduced by NVIDIA and Dartmouth College researchers at SIGGRAPH 2020 that has been key to bringing path tracing to games and other real-time rendering products. The other improves sample quality by randomly mutating a subset of the light’s path.

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Marktechpost

MAY 8, 2024

By leveraging the principles of quantum mechanics, quantum computers can process complex problems at speeds unattainable by classical computers. For AI, the implications are profound, especially in fields that require processing vast amounts of data, such as drug discovery and materials science.

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Marktechpost

JULY 11, 2023

The ability of deep learning to handle high-dimensional, unstructured data and its remarkable performance in complex tasks have made it a cornerstone of modern AI applications, driving advancements in fields ranging from healthcare and finance to robotics and computer vision.

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