Unite.AI

SEPTEMBER 21, 2023

million in 2020. Organizations and practitioners build AI models that are specialized algorithms to perform real-world tasks such as image classification, object detection, and natural language processing. Some prominent AI techniques include neural networks, convolutional neural networks, transformers, and diffusion models.

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Sebastian Ruder

JANUARY 19, 2021

2020 ), Turing-NLG , BST ( Roller et al., 2020 ), and GPT-3 ( Brown et al., 2020 ; Fan et al., 2020 ), quantization ( Fan et al., 2020 ), and compression ( Xu et al., 2020 ; Fan et al., 2020 ), quantization ( Fan et al., 2020 ), and compression ( Xu et al., 2020 ) and Big Bird ( Zaheer et al.,

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AI Weekly

JANUARY 25, 2024

ndtv.com Top 10 AI Programming Languages You Need to Know in 2024 It excels in predictive models, neural networks, deep learning, image recognition, face detection, chatbots, document analysis, reinforcement, building machine learning algorithms, and algorithm research. decrypt.co decrypt.co

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NVIDIA

AUGUST 29, 2024

So, in the spring of 2020, Kiela and his team published a seminal paper of their own, which introduced the world to retrieval-augmented generation. In many ways, it’s an advanced, productized version of the RAG architecture Kiela and Singh first described in their 2020 paper. The platform Contextual AI offers is called RAG 2.0.

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Mlearning.ai

APRIL 8, 2023

Charting the evolution of SOTA (State-of-the-art) techniques in NLP (Natural Language Processing) over the years, highlighting the key algorithms, influential figures, and groundbreaking papers that have shaped the field. NLP algorithms help computers understand, interpret, and generate natural language.

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Viso.ai

DECEMBER 3, 2023

This article will provide an introduction to object detection and provide an overview of the state-of-the-art computer vision object detection algorithms. The recent deep learning algorithms provide robust person detection results. Detecting people in video streams is an important task in modern video surveillance systems.

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Unite.AI

OCTOBER 11, 2024

According to the researchers, 3DGS could be radically more vulnerable other online neural training services. The 2020 paper Energy-Latency Attacks on Neural Networks was able to identify data examples that trigger excessive neuron activations, leading to debilitating consumption of energy and to poor latency.

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Towards AI

AUGUST 25, 2023

In ML, there are a variety of algorithms that can help solve problems. Deep learning (DL) is a subset of machine learning that uses neural networks which have a structure similar to the human neural system. However, this does not mean you need to code the algorithms from scratch (roll your own). 16, 2020. [4]

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Viso.ai

MAY 20, 2023

The YOLOv7 algorithm is making big waves in the computer vision and machine learning communities. In this article, we will provide the basics of how YOLOv7 works and what makes it the best object detector algorithm available today. About us: Viso.ai provides the only end-to-end computer vision application platform, Viso Suite.

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Heartbeat

AUGUST 1, 2023

I stumbled upon a simple question, what was there before neural nets could efficiently be run on the average computer? Surely research in this field yielded results that could be used without requiring neural networks. Scale-Invariant Feature Transform (SIFT) This is an algorithm created by David Lowe in 1999.

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Flipboard

APRIL 4, 2023

The crux of the clash was whether Google’s AI solution to one of chip design’s thornier problems was really better than humans or state-of-the-art algorithms. In Circuit Training and Morpheus, a separate algorithm fills in the gaps with the smaller parts, called standard cells. Wash, rinse, repeat. Kahng was reviewer #3.)

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Becoming Human

MARCH 17, 2023

Trends resonate with Gartner predictions : about 25% customer service operations relying on virtual assistants by the year 2020 may reach the USD 11.5 Voice assistant technology is all set to evolve into more complex neural networks that scale and combine the elements of image, language, and speech processing. That makes 47.3

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Unite.AI

SEPTEMBER 19, 2024

Before we explore the sustainability aspect, let’s briefly recap how AI is already revolutionizing global logistics: Route Optimization AI algorithms are transforming route planning , going far beyond simple GPS navigation. The route optimization algorithms we implement can significantly reduce unnecessary mileage and emissions.

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Viso.ai

FEBRUARY 27, 2024

Since its inception in 2015, the YOLO (You Only Look Once) object-detection algorithm has been closely followed by tech enthusiasts, data scientists, ML engineers, and more, gaining a massive following due to its open-source nature and community contributions. The proposed PGI mechanism can be applied to deep neural networks of various sizes.

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Towards AI

SEPTEMBER 6, 2023

The Art of Stitching Image stitching isn’t just an algorithmic challenge; it’s an art form. Stitching algorithms strive to seamlessly combine multiple images into one, expansive output, free from seams, distortion, and color inconsistency. Below are available open-source algorithms or libraries for image stitching and panoramas.

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Unite.AI

APRIL 11, 2024

The founding team at Lemurian Labs combines expertise in AI, compilers, numerical algorithms, and computer architecture, united by a single purpose: to reimagine accelerated computing. Can you walk us through your background and w hat got you into AI to begin with? That’s the best way out.

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Bugra Akyildiz

NOVEMBER 17, 2024

They have shown impressive performance in various computer vision tasks, often outperforming traditional convolutional neural networks (CNNs). Interleaving Algorithm: DoorDash uses an algorithm that can be likened to team captains drafting players, where each "captain" represents a list to be interleaved.

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ODSC - Open Data Science

OCTOBER 24, 2023

Then, how to essentially eliminate training, thus speeding up algorithms by several orders of magnitude? My NoGAN algorithm, probably for the first time, comes with the full multivariate KS distance to evaluate results. There are two aspects to this problem of synthesizing data. It is adjusted for dimension.

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Pickl AI

JULY 24, 2024

Turing proposed the concept of a “universal machine,” capable of simulating any algorithmic process. The development of LISP by John McCarthy became the programming language of choice for AI research, enabling the creation of more sophisticated algorithms. Simon, demonstrated the ability to prove mathematical theorems.

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Viso.ai

JUNE 12, 2024

GPT models are based on transformer-based deep learning neural network architecture. In July 2020, they introduced the GPT-3 model as the most advanced language model with 175 billion parameters. GPT-3 GPT-3 release took place in May 2020 and beta testing began in July 2020. without supervised pre-training.

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AssemblyAI

MARCH 18, 2024

These algorithms do more than just understand and process data—they produce new, creative material based on that data.  A Large Language Model (LLM) is a type of deep learning neural network trained on massive amounts of data and then fine-tuned for specific applications.   What is Generative AI?

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PyImageSearch

OCTOBER 14, 2024

The second blog post will introduce you to NeRFs , the neural network solution. In some cases, algorithms like the Iterative Closest Point (ICP) can also align the point clouds together for a better output. Neural Radiance Fields have been about turning an image into a 3D model… but using Deep Learning!

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Marktechpost

AUGUST 17, 2023

Using a regenerative algorithm, the technology enhances voice clarity and removes background noise. Algorithms analyze spectral data from the grouped channels to determine how much room to give each track in the mix. This program uses complex audio analysis algorithms to generate completely original and one-of-a-kind beats.

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Viso.ai

FEBRUARY 19, 2024

Criminal Activity Detection In criminal cases, CV algorithms should first recognize the environment and the setting. The global look of the scene will help the algorithm capture details, including the color and shape of vehicles, license plates, signboards, storefronts, etc.

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Unite.AI

OCTOBER 27, 2023

For example, multimodal generative models of neural networks can produce such images, literary and scientific texts that it is not always possible to distinguish whether they are created by a human or an artificial intelligence system. According to A.V.

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Viso.ai

OCTOBER 15, 2024

YOLO (You Only Look Once) is a state-of-the-art (SOTA) object-detection algorithm introduced as a research paper by J. In the field of real-time object identification, YOLOv11 architecture is an advancement over its predecessor, the Region-based Convolutional Neural Network (R-CNN). Redmon, et al.

Computer Vision 52

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Viso.ai

NOVEMBER 4, 2024

Computer Vision Model for Solar Prediction The researchers based their solution on computer vision, specifically deep Convolutional neural networks (CNNs) for object localization and identification. Lastly, the model in recurrent neural network techniques (e.g.

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How to Learn Machine Learning

MAY 14, 2023

Mathematics is crucial because machine learning algorithms are built on concepts such as linear algebra, calculus, probability, and statistics. Familiarity with these subjects will enable you to understand and implement machine learning algorithms more effectively. Publisher) Buy on Amazon 5.

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Heartbeat

FEBRUARY 27, 2023

Deep Reinforcement Learning (DRL) and Generative Adversarial Networks (GANs) are two promising deep learning trends. Below are some of the most promising use cases for DRL and GANs: DRL: Robotics: DRL algorithms can be applied to teach robots how to carry out particular tasks, including grabbing items or navigating.

Machine Learning 52

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Viso.ai

AUGUST 9, 2024

The 2020-2030 decade adopts the 5G network infrastructure. It is evident that each new generation of mobile network improves two important features, namely increased data speed for data transfer and reduced latency (packet delay). Moreover, this will not only save network bandwidth but also will process data faster.

Computer Vision 52

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Viso.ai

FEBRUARY 25, 2023

Vision Transformer (ViT) have recently emerged as a competitive alternative to Convolutional Neural Networks (CNNs) that are currently state-of-the-art in different image recognition computer vision tasks. Popular image recognition algorithms include ResNet , VGG , YOLOv3 , and YOLOv7.

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deepsense.ai

APRIL 16, 2023

Pipeline Parallelism Since deep neural networks typically have multiple layers stacked on top of each other, the naive approach to model parallelism involves dividing a large model into smaller parts, with a few consecutive layers grouped together and assigned to a separate device, with the output of one stage serving as the input to the next stage.

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Viso.ai

MAY 6, 2024

The latest version is Kinetics 700-2020, which contains over 700 human action classes from up to 650,000 video clips. Source ) TensorFlow and PyTorch are two frameworks offering tools and libraries to implement and train these networks. An introduction to Graph Neural Networks (GNNs).

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Viso.ai

DECEMBER 18, 2023

YOLOv8 is the newest model in the YOLO algorithm series – the most well-known family of object detection and classification models in the Computer Vision (CV) field. In this article, we’ll discuss: The evolution of the YOLO algorithms Improvements and enhancements in YOLOv8 Implementation details and tips Applications About us: Viso.ai

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Towards AI

JULY 20, 2023

As the capabilities of high-powered computers and ML algorithms have grown, so have opportunities to improve the SLR process. New research has also begun looking at deep learning algorithms for automatic systematic reviews, According to van Dinter et al.

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Lexalytics

APRIL 5, 2021

This book effectively killed off interest in neural networks at that time, and Rosenblatt, who died shortly thereafter in a boating accident, was unable to defend his ideas. (I Around this time a new graduate student, Geoffrey Hinton, decided that he would study the now discredited field of neural networks.

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PyImageSearch

JANUARY 22, 2024

We estimate the parameters of the generative process ( Ho, Jain, and Abbeel, “Denoising Diffusion Probabilistic Modelsm” 2020 ). The underlying model, often a neural network, is trained to predict a way to slightly denoise the image in each step. Schedulers are essentially algorithms encapsulated within a Python class.

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