Dataconomy

FEBRUARY 6, 2024

With the ability to analyze a vast amount of data in real-time, identify patterns, and detect anomalies, AI/ML-powered tools are enhancing the operational efficiency of businesses in the IT sector. Why does AI/ML deserve to be the future of the modern world? Let’s understand the crucial role of AI/ML in the tech industry.

ML 121

ML ML Machine Learning Machine Learning 121

PyImageSearch

JANUARY 30, 2023

This last blog of the series will cover the benefits, applications, challenges, and tradeoffs of using deep learning in the education sector. To learn about Computer Vision and Deep Learning for Education, just keep reading. This ensures that the population remains employable and beneficial to the country.

Deep Learning 90

Deep Learning Deep Learning AI AI 90

Google Research AI blog

FEBRUARY 14, 2023

As we do this, we’re transforming robot learning into a scalable data problem so that we can scale learning of generalized low-level skills, like manipulation. In this blog post, we’ll review key learnings and themes from our explorations in 2022.

Algorithm 139

Algorithm System Architecture Deep Learning Deep Learning 139

Google Research AI blog

FEBRUARY 2, 2023

Great machine learning (ML) research requires great systems. In this post, we provide an overview of the numerous advances made across Google this past year in systems for ML that enable us to support the serving and training of complex models while easing the complexity of implementation for end users.

ML 72

ML ML Algorithm Machine Learning 72

Google Research AI blog

FEBRUARY 10, 2023

Robust algorithm design is the backbone of systems across Google, particularly for our ML and AI models. Google Research has been at the forefront of this effort, developing many innovations from privacy-safe recommendation systems to scalable solutions for large-scale ML. You can find other posts in the series here.)

Algorithm 110

Algorithm Clustering ML ML 110

Dataconomy

FEBRUARY 26, 2024

GPUs: The versatile powerhouses Graphics Processing Units, or GPUs, have transcended their initial design purpose of rendering video game graphics to become key elements of Artificial Intelligence (AI) and Machine Learning (ML) efforts.

Natural Language Processing 227

Natural Language Processing ML ML Deep Learning 227

Flipboard

JUNE 20, 2023

Machine learning (ML) engineers have traditionally focused on striking a balance between model training and deployment cost vs. performance. This is important because training ML models and then using the trained models to make predictions (inference) can be highly energy-intensive tasks.

AWS 123

AWS Machine Learning Machine Learning ML 123

AWS Machine Learning Blog

OCTOBER 26, 2023

Intuitivo, a pioneer in retail innovation, is revolutionizing shopping with its cloud-based AI and machine learning (AI/ML) transactional processing system. Our AI/ML research team focuses on identifying the best computer vision (CV) models for our system. Inferentia has been shown to reduce inference costs significantly.

AWS 125

AWS ML ML AI 125

AWS Machine Learning Blog

APRIL 19, 2023

The DJL is a deep learning framework built from the ground up to support users of Java and JVM languages like Scala, Kotlin, and Clojure. The DJL is a deep learning framework built from the ground up to support users of Java and JVM languages like Scala, Kotlin, and Clojure. We recently developed four more new models.

ML 98

ML ML Deep Learning Deep Learning 98

Dataconomy

AUGUST 22, 2024

Aleksandr Timashov is an ML Engineer with over a decade of experience in AI and Machine Learning. On these projects, I mentored numerous ML engineers, fostering a culture of innovation within Petronas. You told us you were implementing these projects in 2020-2022, so it all started amid the Covid-19 times.

ML 91

ML ML Machine Learning Machine Learning 91

Heartbeat

NOVEMBER 29, 2023

Two names stand out prominently in the wide realm of deep learning: TensorFlow and PyTorch. These strong frameworks have changed the field, allowing researchers and practitioners to create and deploy cutting-edge machine learning models. TensorFlow and PyTorch present distinct routes to traverse.

Deep Learning 59

Deep Learning Deep Learning Machine Learning Machine Learning 59

Towards AI

NOVEMBER 16, 2024

In particular, min-max optimisation is curcial for GANs [2], statistics, online learning [6], deep learning, and distributed computing [7]. Vladu, “Towards deep learning models resistant to adversarial attacks,” arXivpreprint arXiv:1706.06083, 2017.[5] 7659–7679, 2022.[16] Arjovsky, S. Chintala, and L.

Algorithm 105

Algorithm ML ML AI 105

Towards AI

JULY 19, 2023

How to Maximize ML Project Success with Efficient Scoping? | In Aug 2022, Forbes stated that somewhere between 60–80% of AI projects are failing, according to different sources. This shows that scoping the projects is one of the most important steps before starting a machine learning project. General Outline for Scoping.

ML 98

ML ML Machine Learning Machine Learning 98

Heartbeat

NOVEMBER 27, 2023

Deep learning automates and improves medical picture analysis. Convolutional neural networks (CNNs) can learn complicated patterns and features from enormous datasets, emulating the human visual system. Convolutional Neural Networks (CNNs) Deep learning in medical image analysis relies on CNNs.

Deep Learning 59

Deep Learning Deep Learning Machine Learning Machine Learning 59

Google Research AI blog

FEBRUARY 28, 2023

Adherence to such public health programs is a prevalent challenge, so researchers from Google Research and the Indian Institute of Technology, Madras worked with ARMMAN to design an ML system that alerts healthcare providers about participants at risk of dropping out of the health information program. certainty when used correctly.

ML 72

ML ML Deep Learning Deep Learning 72

ODSC - Open Data Science

FEBRUARY 17, 2023

Natural language processing (NLP) has been growing in awareness over the last few years, and with the popularity of ChatGPT and GPT-3 in 2022, NLP is now on the top of peoples’ minds when it comes to AI. Developing NLP tools isn’t so straightforward, and requires a lot of background knowledge in machine & deep learning, among others.

Deep Learning 111

Deep Learning Deep Learning Data Science Natural Language Processing 111

How to Learn Machine Learning

DECEMBER 24, 2024

Summary of AWS Machine Learning Throughout this article, we’ve explored how AWS Machine Learning stands as a comprehensive platform that makes AI development accessible to everyone, from beginners to experienced practitioners. AWS ML removes traditional barriers to entry while providing professional-grade capabilities.

Machine Learning 52

Machine Learning Machine Learning AWS ML 52

PyImageSearch

DECEMBER 11, 2023

Kicking Off with a Keynote The second day of the Google Machine Learning Community Summit began with an inspiring keynote session by Soonson Kwon, the ML Community Lead at Google. The focus of his presentation was clear and forward-thinking: Accelerate AI/ML research and application.

ML 59

ML ML Deep Learning Deep Learning 59

Heartbeat

NOVEMBER 21, 2023

Computer vision, the field dedicated to enabling machines to perceive and understand visual data, has witnessed a monumental shift in recent years with the advent of deep learning. Photo by charlesdeluvio on Unsplash Welcome to a journey through the advancements and applications of deep learning in computer vision.

Deep Learning 52

Deep Learning Deep Learning Natural Language Processing Algorithm 52

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.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Pickl AI

NOVEMBER 29, 2024

Summary: Hydra simplifies process configuration in Machine Learning by dynamically managing parameters, organising configurations hierarchically, and enabling runtime overrides. It enhances scalability, experimentation, and reproducibility, allowing ML teams to focus on innovation. billion in 2022, is expected to soar to USD 505.42

Machine Learning 52

Machine Learning Machine Learning ML ML 52

AWS Machine Learning Blog

MAY 31, 2023

Running machine learning (ML) workloads with containers is becoming a common practice. What you get is an ML development environment that is consistent and portable. In this post, we show you how to run your ML training jobs in a container using Amazon ECS to deploy, manage, and scale your ML workload.

AWS 112

AWS Machine Learning Machine Learning ML 112

AWS Machine Learning Blog

JUNE 22, 2023

Light & Wonder teamed up with the Amazon ML Solutions Lab to use events data streamed from LnW Connect to enable machine learning (ML)-powered predictive maintenance for slot machines. Predictive maintenance is a common ML use case for businesses with physical equipment or machinery assets.

AWS 112

AWS ML ML Machine Learning 112

Heartbeat

FEBRUARY 28, 2023

The past few years have witnessed exponential growth in medical image analysis using deep learning. In this article we will look into medical image segmentation and see how deep learning can be helpful in these cases. This can be further classified as supervised and unsupervised learning. Image by author.

Deep Learning 52

Deep Learning Deep Learning Supervised Learning Machine Learning 52

Towards AI

AUGUST 25, 2023

How to get started with an AI project Vackground on Unsplash Background Here I am assuming that you have read my previous article on How to Learn AI. Machine learning (ML) is a subset of AI that provides computer systems the ability to automatically learn and improve from experience without being explicitly programmed.

Machine Learning 98

Machine Learning Machine Learning AI AI 98

Applied Data Science

AUGUST 2, 2021

Big Ideas What to look out for in 2022 1. They bring deep expertise in machine learning , clustering , natural language processing , time series modelling , optimisation , hypothesis testing and deep learning to the team. Give this technique a try to take your team’s ML modelling to the next level.

Data Science 130

Data Science Data Scientist ML ML 130

AWS Machine Learning Blog

APRIL 12, 2023

They’ve built a deep-learning model ScarceGAN, which focuses on identification of extremely rare or scarce samples from multi-dimensional longitudinal telemetry data with small and weak labels. This work has been published in CIKM’21 and is open source for rare class identification for any longitudinal telemetry data.

ML 109

ML ML AWS Deep Learning 109

Dataversity

DECEMBER 16, 2022

2022 was a big year for AI, and we’ve seen significant advancements in various areas – including natural language processing (NLP), machine learning (ML), and deep learning. Unsupervised and self-supervised learning are making ML more accessible by lowering the training data requirements.

Natural Language Processing 52

Natural Language Processing Supervised Learning Deep Learning Deep Learning 52

Becoming Human

MARCH 16, 2023

Since the advent of deep learning in the 2000s, AI applications in healthcare have expanded. Machine Learning Machine learning (ML) focuses on training computer algorithms to learn from data and improve their performance, without being explicitly programmed. A few AI technologies are empowering drug design.

AI 139

AI AI Deep Learning Deep Learning 139

DrivenData Labs

JUNE 14, 2023

In December 2022, DrivenData and Meta AI launched the Video Similarity Challenge. Between December 2022 and April 2023, 404 participants from 59 countries signed up to solve the problems posed by the two tracks, and 82 went on to submit solutions. His research interest is deep metric learning and computer vision.

Supervised Learning 173

Supervised Learning Artificial Intelligence Artificial Intelligence Machine Learning 173

Smart Data Collective

JUNE 22, 2023

Taking the world by storm, artificial intelligence and machine learning software are changing the landscape in many fields. Earlier today, one analysis found that the market size for deep learning was worth $51 billion in 2022 and it will grow to be worth $1.7 trillion by 2032.

Machine Learning 111

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 111

ODSC - Open Data Science

SEPTEMBER 21, 2023

Secondly, to be a successful ML engineer in the real world, you cannot just understand the technology; you must understand the business. Machine learning is ideal for cases when you want to do a semi-routine task faster, with more accuracy, or at a far larger scale than is possible with other solutions.

Machine Learning 98

Machine Learning Machine Learning ML ML 98

AWS Machine Learning Blog

AUGUST 2, 2024

GraphStorm is a low-code enterprise graph machine learning (GML) framework to build, train, and deploy graph ML solutions on complex enterprise-scale graphs in days instead of months. introduces refactored graph ML pipeline APIs. Based on customer feedback for the experimental APIs we released in GraphStorm 0.2, GraphStorm 0.3

ML 119

ML ML Machine Learning Machine Learning 119

Flipboard

JULY 10, 2023

Figure 4: Architecture of fully connected autoencoders (source: Amor, “Comprehensive introduction to Autoencoders,” ML Cheat Sheet , 2021 ). Figure 5: Architecture of Convolutional Autoencoder for Image Segmentation (source: Bandyopadhyay, “Autoencoders in Deep Learning: Tutorial & Use Cases [2023],” V7Labs , 2023 ).

Deep Learning 130

Deep Learning Deep Learning Machine Learning Machine Learning 130

IBM Journey to AI blog

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. However, the growing influence of ML isn’t without complications.

Machine Learning 92

Machine Learning Machine Learning Supervised Learning Clustering 92

ODSC - Open Data Science

MARCH 22, 2023

billion in 2022, an increase of 21.3% Nevertheless, we are still left with the question: How can we do machine learning better? To find out, we’ve taken some of the upcoming tutorials and workshops from ODSC East 2023 and let the experts via their topics guide us toward building better machine learning.

Machine Learning 98

Machine Learning Machine Learning Data Science Artificial Intelligence 98

AWS Machine Learning Blog

JANUARY 13, 2023

Machine learning (ML) presents an opportunity to address some of these concerns and is being adopted to advance data analytics and derive meaningful insights from diverse HCLS data for use cases like care delivery, clinical decision support, precision medicine, triage and diagnosis, and chronic care management.

AWS 103

AWS Analytics Analytics Machine Learning 103