Unite.AI

SEPTEMBER 12, 2023

My team’s focus has been the application of algorithms, machine learning and software tools building for the analysis of large-scale genomic and biomolecular data. I left Stanford in 2016 to lead a research and technology development team at Illumina. Since then, I have enjoyed leading R&D teams in industry.

Machine Learning 293

Machine Learning LLM Data Analysis Data Science 293

PyImageSearch

NOVEMBER 13, 2023

Home Table of Contents Faster R-CNNs Object Detection and Deep Learning Measuring Object Detector Performance From Where Do the Ground-Truth Examples Come? One of the most popular deep learning-based object detection algorithms is the family of R-CNN algorithms, originally introduced by Girshick et al.

Convolutional Neural Networks 119

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 119

NYU Center for Data Science

JULY 18, 2023

The group was first launched in 2016 by Associate Professor of Computer Science, Data Science and Mathematics Joan Bruna , and Associate Professor of Mathematics and Data Science and incoming CDS Interim Director Carlos Fernandez-Granda with the goal of advancing the mathematical and statistical foundations of data science.

Data Science 98

Data Science Machine Learning Natural Language Processing Robotics 98

Marktechpost

JULY 17, 2023

With a lifetime of context, human sight has the advantage of learning how to distinguish between things, determine their distance from the viewer, determine whether they are moving, and determine whether an image is correct. The algorithm, for instance, can identify a dog among all the items in the image. Identification of the item.

Computer Vision 98

Computer Vision Neural Network Machine Learning Deep Learning 98

Towards AI

JULY 19, 2023

Basically crack is a visible entity and so image-based crack detection algorithms can be adapted for inspection. Deep learning algorithms can be applied to solving many challenging problems in image classification. Deep learning algorithms can be applied to solving many challenging problems in image classification.

Computer Vision 98

Computer Vision Deep Learning Categorization Algorithm 98

Marktechpost

JULY 24, 2023

Many studies have been motivated to explore hidden hierarchical patterns in the large volume of weather datasets for weather forecasting due to the recent development of deep learning techniques, the widespread availability of massive weather observation data, and the advent of information and computer technology.

Deep Learning 52

Deep Learning Convolutional Neural Networks Neural Network ML 52

TheSequence

MARCH 9, 2025

Sutton for their groundbreaking contributions to reinforcement learning (RL). These pioneers have laid the conceptual and algorithmic foundations of RL, shaping the future of artificial intelligence and decision-making systems. Turing Award, often referred to as the "Nobel Prize of computing," has been awarded to Andrew G.

LLM 52

LLM Robotics Artificial Intelligence Artificial Intelligence 52

Viso.ai

DECEMBER 4, 2023

As a result, frameworks such as TensorFlow and PyTorch have been created to simplify the creation, serving, and scaling of deep learning models. With the increased interest in deep learning in recent years, there has been an explosion of machine learning tools. PyTorch Overview PyTorch was first introduced in 2016.

Neural Network 98

Neural Network Deep Learning Python Machine Learning 98

Unite.AI

AUGUST 1, 2024

These deep learning algorithms are trained on domain-specific videos from sources like CCTV, body-worn cameras, and road survey footage. The AI leverages supervised learning and proprietary deep learning techniques, trained on a large variety of photos and video frames from diverse environments and cameras.

Machine Learning 144

Machine Learning Deep Learning Automation Computer Vision 144

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. The original YOLO object detector was first released in 2016.

Algorithm 52

Algorithm Computer Vision Deep Learning Neural Network 52

AWS Machine Learning Blog

APRIL 7, 2025

yml file from the AWS Deep Learning Containers GitHub repository, illustrating how the model synthesizes information across an entire repository. His role focuses on enabling customers to take advantage of state-of-the-art open source and proprietary foundation models and traditional machine learning algorithms.

Machine Learning 62

Machine Learning Large Language Models Python Automation 62

John Snow Labs

MAY 23, 2023

Visual question answering (VQA), an area that intersects the fields of Deep Learning, Natural Language Processing (NLP) and Computer Vision (CV) is garnering a lot of interest in research circles. For visual question answering in Deep Learning using NLP, public datasets play a crucial role. Is aqua the maximum?

Natural Language Processing 40

Natural Language Processing Deep Learning NLP Convolutional Neural Networks 40

Viso.ai

OCTOBER 15, 2024

The method won the COCO 2016 Keypoints Challenge and is popular for quality and robustness in multi-person settings. This is why errors in localization and replicate bounding box predictions can result in sub-optimal algorithm performance. The object detection algorithm can determine the region of individuals.

Convolutional Neural Networks 98

Convolutional Neural Networks Computer Vision Neural Network Algorithm 98

Marktechpost

SEPTEMBER 1, 2023

This can be accomplished in several ways, such as by employing neural networks to create entirely unique music or utilizing machine learning algorithms to assess existing music and produce new compositions in a similar style. AIVA, built in 2016, is another outstanding AI music creator consistently attracting notice.

Neural Network 107

Neural Network Machine Learning AI AI 107

Pickl AI

APRIL 8, 2024

This blog explores 13 major AI blunders, highlighting issues like algorithmic bias, lack of transparency, and job displacement. From the moment we wake up to the personalized recommendations on our phones to the algorithms powering facial recognition software, AI is constantly shaping our world.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Algorithm AI 52

AWS Machine Learning Blog

OCTOBER 10, 2023

Machine learning (ML), especially deep learning, requires a large amount of data for improving model performance. Federated learning (FL) is a distributed ML approach that trains ML models on distributed datasets. If you want to customize the aggregation algorithm, you need to modify the fedAvg() function and the output.

ML 109

ML Algorithm Machine Learning Neural Network 109

ODSC - Open Data Science

OCTOBER 4, 2024

His research includes developing algorithms for end-to-end training of deep neural network policies that combine perception and control, scalable algorithms for inverse reinforcement learning, and deep reinforcement learning algorithms.

Data Science 52

Data Science Machine Learning Neural Network Software Engineer 52

AI Impacts

FEBRUARY 1, 2023

A faulty brake line on a car is not much of a concern to the public until the car is on public roads, and the facebook feed algorithm cannot be a threat to society until it is used to control what large numbers of people see on their screens. Preprint posted online June 21, 2016. The alignment problem from a deep learning perspective.

AI 130

AI AI OpenAI Large Language Models 130

Mlearning.ai

APRIL 10, 2023

3 feature visual representation of a K-means Algorithm. Source: Marubon-DS Unsupervised Learning In the data science context, clustering is an unsupervised machine learning technique, this means that it does not require predefined labeled inputs or outcomes to learn from.

Machine Learning 52

Machine Learning Algorithm Data Analysis Deep Learning 52

Mlearning.ai

MARCH 9, 2023

Automated algorithms for image segmentation have been developed based on various techniques, including clustering, thresholding, and machine learning (Arbeláez et al., Understanding the robustness of image segmentation algorithms to adversarial attacks is critical for ensuring their reliability and security in practical applications.

Deep Learning 52

Deep Learning Computer Vision Machine Learning Algorithm 52

Marktechpost

FEBRUARY 17, 2025

The study’s bibliometric analysis revealed a steady increase in AI safety research since 2016, driven by advancements in deep learning. A word cloud analysis highlighted key themes such as safe reinforcement learning, adversarial robustness, and domain adaptation.

Categorization 46

Categorization Deep Learning Metadata AI 46

Viso.ai

JANUARY 9, 2024

List of the Most Popular Computer Vision Tools in 2024 Tool #1: OpenCV Tool #2: Viso Suite Tool #3: TensorFlow Tool #4: CUDA Tool #5: MATLAB Tool #6: Keras Tool #7: SimpleCV Tool #8: BoofCV Tool #9: CAFFE Tool #10: OpenVINO Tool #11: DeepFace Tool #12: YOLO YOLOv7 algorithm for high-performance object detection – Deployed with Viso Suite 1.

Computer Vision 52

Computer Vision Deep Learning Neural Network Machine Learning 52

Viso.ai

DECEMBER 6, 2024

To accomplish this, they require two key components: machine learning and computer vision. Machine learning methods represent the brain of the car. After that, they utilize specialized algorithms to identify trends, predict outcomes, and absorb fresh data. It is achieved by computer vision algorithms.

Computer Vision 52

Computer Vision Convolutional Neural Networks Neural Network Deep Learning 52

Pickl AI

FEBRUARY 14, 2023

According to the Ministry of Commerce, the number of startups in India has grown from 471 in 2016 to 72,993 in 2022. Significantly, by leveraging technologies like deep learning and proprietary algorithms for analytics, Artivatic.ai Artivatic.ai Artivatic.ai Therefore, Betterhalf.ai

BERT 52

BERT Artificial Intelligence Artificial Intelligence Deep Learning 52

ML Review

JUNE 4, 2018

However, in 2014 a number of high-profile AI labs began to release new approaches leveraging deep learning to improve performance. Finally, one can use a sentence similarity evaluation metric to evaluate the algorithm. One such evaluation metric is the Bilingual Evaluation Understudy algorithm, or BLEU score.

Neural Network 52

Neural Network Convolutional Neural Networks Computer Vision Deep Learning 52

AWS Machine Learning Blog

JULY 13, 2023

Recent years have shown amazing growth in deep learning neural networks (DNNs). Another way can be to use an AllReduce algorithm. For example, in the ring-allreduce algorithm, each node communicates with only two of its neighboring nodes, thereby reducing the overall data transfers.

Algorithm 76

Algorithm Deep Learning Neural Network Machine Learning 76

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.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Natural Language Processing Neural Network 52

Artificial Corner

JUNE 18, 2023

Advances in deep learning and other NLP techniques have helped solve some of these challenges and have led to significant improvements in performance of QA systems in recent years. The DeepPavlov Library uses BERT base models to deal with Question Answering, such as RoBERTa. Unlike the original SQuAD dataset, SQuAD 2.0

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ChatGPT Natural Language Processing BERT NLP 105

AWS Machine Learning Blog

SEPTEMBER 11, 2024

Together, these elements lead to the start of a period of dramatic progress in ML, with NN being redubbed deep learning. In 2017, the landmark paper “ Attention is all you need ” was published, which laid out a new deep learning architecture based on the transformer.

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ML Deep Learning Algorithm Large Language Models 91

Viso.ai

OCTOBER 7, 2024

billion tons of municipal solid waste was generated globally in 2016 with experts predicting a steep rise to 3.40 For truly solving real-world scenarios, organizations require more than just a computer vision tool or algorithm. These systems coordinate sensors and visual algorithms to monitor garbage levels.

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network Robotics 52

AWS Machine Learning Blog

APRIL 18, 2023

One of the major challenges in training and deploying LLMs with billions of parameters is their size, which can make it difficult to fit them into single GPUs, the hardware commonly used for deep learning. learning_rate – Controls the step size or learning rate of the optimization algorithm during training.

Large Language Models 75

Large Language Models NLP LLM Deep Learning 75

Viso.ai

JULY 17, 2024

Background and History of Neural Style Transfer NST is an example of an image styling problem that has been in development for decades, with image analogies and texture synthesis algorithms paving foundational work for NST. With deep learning, the results were impressively good. Here is the journey of NST. Gatys et al.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 52

AWS Machine Learning Blog

MARCH 29, 2023

Amazon SageMaker provides a suite of built-in algorithms , pre-trained models, and pre-built solution templates to help data scientists and ML practitioners get started on training and deploying ML models quickly. Since 2016 he mentored hundreds of entrepreneurs at startup incubation programs pro-bono. Hayat” means “life” in Turkish.

ML 85

ML Machine Learning Algorithm Data Scientist 85

Lexalytics

APRIL 5, 2021

They were not wrong: the results they found about the limitations of perceptrons still apply even to the more sophisticated deep-learning networks of today. This would change in 1986 with the publication of “Parallel Distributed Processing” [ 6 ], which included a description of the backpropagation algorithm [ 7 ].

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing BERT 52

Heartbeat

AUGUST 23, 2023

Consider a scenario where legal practitioners are armed with clever algorithms capable of analyzing, comprehending, and extracting key insights from massive collections of legal papers. Algorithms can automatically detect and extract key items. But what if there was a technique to quickly and accurately solve this language puzzle?

NLP 52

NLP Natural Language Processing Algorithm Categorization 52

Heartbeat

MAY 11, 2023

The first version of YOLO was introduced in 2016 and changed how object detection was performed by treating object detection as a single regression problem. But just because we have all these YOLOs doesn’t mean that deep learning for object detection is a dormant area of research. We pay our contributors, and we don’t sell ads.

Deep Learning 75

Deep Learning Computer Vision Data Scientist ML 75

Pickl AI

AUGUST 22, 2024

Introduction Deep Learning frameworks are crucial in developing sophisticated AI models, and driving industry innovations. By understanding their unique features and capabilities, you’ll make informed decisions for your Deep Learning applications.

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