Unite.AI

JULY 7, 2024

As construction projects become increasingly complex, project managers and construction professionals are turning to AI-powered tools to streamline processes, improve efficiency, and make data-driven decisions. 5 Best AI Tools for the Construction Industry 1.

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Unite.AI

OCTOBER 17, 2024

Applications of AI in Healthcare AI has been in evolution for decades in healthcare, both in patient-facing and back-office functions. Some of the earliest and most extensive work has occurred in the use of deep learning and computer vision models. First, some terminology.

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IBM Journey to AI blog

OCTOBER 12, 2023

Unlike basic machine learning models, deep learning models allow AI applications to learn how to perform new tasks that need human intelligence, engage in new behaviors and make decisions without human intervention. As it’s trained on more data over time, Limited Memory AI can improve in performance.

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Marktechpost

JULY 12, 2023

Advances in Deep Learning Methodologies are greatly impacting the Artificial Intelligence community. Deep Learning techniques are being widely used in almost every industry, be it healthcare, social media, engineering, finance, or education.

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AI Weekly

SEPTEMBER 28, 2023

Rule-based chatbots rely on pre-defined conditions and keywords to provide responses, lacking the ability to adapt to context or learn from previous interactions. makeuseof.com Computer vision's next breakthrough Computer vision can do more than reduce costs and improve quality. decrypt.co

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NVIDIA

JUNE 14, 2023

When California skies turned orange in the wake of devastating wildfires, a startup fused computer vision and generative AI to fight back. California utilities and fire services, they learned, were swamped with as many as 2,000 false positives a week from an existing wildfire detection system.

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PyImageSearch

JANUARY 2, 2023

This blog will cover the benefits, applications, challenges, and tradeoffs of using deep learning in healthcare. Computer Vision and Deep Learning for Healthcare Benefits Unlocking Data for Health Research The volume of healthcare-related data is increasing at an exponential rate.

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Flipboard

JUNE 1, 2023

The future of architecture is not just being written — it’s being coded, and these are fourteen of the most valuable AI tools you could be using right now. Best AI Tools for Concept Design Midjourney Image by author. Best AI Tool for Generating Design Alternatives Maket.ai Image by author.

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Marktechpost

JULY 12, 2023

ResNet expands on this achievement by including identity mappings through shortcut connections, enabling the training of deep neural networks with good performance across various computer vision applications, including image classification, object identification, and semantic segmentation.

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IBM Journey to AI blog

FEBRUARY 14, 2024

Routine questions from staff can be quickly answered using AI. Creative AI use cases Create with generative AI Generative AI tools such as ChatGPT, Bard and DeepAI rely on limited memory AI capabilities to predict the next word, phrase or visual element within the content it’s generating.

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Viso.ai

JANUARY 21, 2025

Computer vision is a field of artificial intelligence that enables machines to understand and analyze objects in visual data (e.g. It allows computer systems to perform tasks like recognizing objects, identifying patterns, and analyzing scenesjobs that replicate what human eyes and brains can do. images and videos).

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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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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

MARCH 26, 2024

With advancements in machine learning (ML) and deep learning (DL), AI has begun to significantly influence financial operations. This drastically enhanced the capabilities of computer vision systems to recognize patterns far beyond the capability of humans. Applications of Computer Vision in Finance No.

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Flipboard

FEBRUARY 10, 2025

To learn more, refer to Boost productivity on Amazon SageMaker Studio: Introducing JupyterLab Spaces and generative AI tools. Local IDE You can also follow along in your local IDE (such as PyCharm or VSCode), provided that Python runtimes have been configured for site to AWS VPC connectivity (to deploy models on SageMaker AI).

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Unite.AI

FEBRUARY 26, 2025

Project DIGITS is Nvidias desktop AI supercomputer, designed to deliver high-performance AI computing without cloud reliance. Project DIGITS runs on the GB10 Grace Blackwell Superchip, which integrates a Blackwell GPU with a 20-core Grace CPU, delivering up to 1 petaflop of AI performance.

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IBM Journey to AI blog

AUGUST 1, 2023

It’s the underlying engine that gives generative models the enhanced reasoning and deep learning capabilities that traditional machine learning models lack. They can also perform self-supervised learning to generalize and apply their knowledge to new tasks.

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Pickl AI

DECEMBER 26, 2024

Key Features and Capabilities Ultracluster offers an unprecedented level of parallel computing, enabling seamless handling of exabytes of data. Its key features include distributed training at scale, optimised performance for deep learning frameworks, and real-time processing for complex tasks.

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Viso.ai

DECEMBER 20, 2023

Huawei’s Mindspore is an open-source deep learning framework for training and inference written in C++. license, MindSpore AI allows users to use, modify, and distribute the software. Our no-code solution enables teams to rapidly build real-world computer vision using the latest deep learning models out of the box.

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Marktechpost

JULY 11, 2023

Deep Learning is everywhere. Deep learning is a subfield of machine learning which enables computers to learn and make predictions from large amounts of data. It has revolutionized lots of fields, and the trend seems to continue in the near future.

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Viso.ai

FEBRUARY 11, 2024

The developers of Detectron2 are Meta’s Facebook AI Research (FAIR) team, who have stated that “Our goal with Detectron2 is to support the wide range of cutting-edge object detection and segmentation models available today, but also to serve the ever-shifting landscape of cutting-edge research.”

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Pickl AI

SEPTEMBER 25, 2024

Summary: This blog delves into 20 Deep Learning applications that are revolutionising various industries in 2024. From healthcare to finance, retail to autonomous vehicles, Deep Learning is driving efficiency, personalization, and innovation across sectors.

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Unite.AI

JUNE 21, 2024

The Rise of CUDA-Accelerated AI Frameworks GPU-accelerated deep learning has been fueled by the development of popular AI frameworks that leverage CUDA for efficient computation. Installation When setting AI development, using the latest drivers and libraries may not always be the best choice.

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Marktechpost

OCTOBER 25, 2024

Transformers is a state-of-the-art library developed by Hugging Face that provides pre-trained models and tools for a wide range of natural language processing (NLP) tasks. It’s built on top of popular deep learning frameworks like PyTorch and TensorFlow, making it accessible to a broad audience of developers and researchers.

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Towards AI

DECEMBER 28, 2023

The advent of more powerful personal computers paved the way for the gradual acceptance of deep learning-based methods. In 2023, we witnessed the substantial transformation of AI, marking it as the ‘year of AI.’ CS6910/CS7015: Deep Learning Mitesh M. Khapra Homepage www.cse.iitm.ac.in

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Marktechpost

JULY 23, 2023

This challenging problem has attracted significant attention in image processing and computer vision due to its wide range of practical applications, such as surveillance, biometrics, and social media. In recent years, deep learning methods have emerged as a promising approach for blind face restoration.

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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. Key Contributions: Unique combination of kernel methods with deep learning principles.

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Pickl AI

NOVEMBER 28, 2024

Summary: Generative Adversarial Network (GANs) in Deep Learning generate realistic synthetic data through a competitive framework between two networks: the Generator and the Discriminator. In answering the question, “What is a Generative Adversarial Network (GAN) in Deep Learning?”

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Mlearning.ai

JULY 11, 2023

Deep learning has transformed artificial intelligence, allowing machines to learn and make smart decisions. If you’re interested in exploring deep learning, this step-by-step guide will help you learn the basics and develop the necessary skills. Also, learn about common algorithms used in machine learning.

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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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NVIDIA

JULY 12, 2024

Teaching AI to Think in 3D NVIDIA researchers are also showcasing multipurpose AI tools for 3D representations and design at SIGGRAPH. One paper introduces fVDB, a GPU-optimized framework for 3D deep learning that matches the scale of the real world. Model courtesy Blender Studio. See more of their latest work.

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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

JUNE 16, 2023

Large Language Models (LLMs), which have recently got very popular due to their incredible abilities, are the main reason for the rise in AI. The subdomains of AI, be it Natural Language Processing, Natural Language Understanding, or Computer Vision, all of these are progressing, and for all good reasons.

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Heartbeat

MARCH 28, 2023

A complete guide to building a deep learning project with PyTorch, tracking an Experiment with Comet ML, and deploying an app with Gradio on HuggingFace Image by Freepik AI tools such as ChatGPT, DALL-E, and Midjourney are increasingly becoming a part of our daily lives. Let’s move on and take a look at another library.

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Marktechpost

JULY 16, 2023

These models leverage the power of deep learning and large-scale datasets. They represent a cutting-edge fusion of natural language processing (NLP) and computer vision (CV). They use deep neural networks and advanced techniques to translate the semantic meaning of words into visual representations.

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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. Key Contributions: Unique combination of kernel methods with deep learning principles.

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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. Key Contributions: Unique combination of kernel methods with deep learning principles.

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