Google Research AI blog

FEBRUARY 23, 2023

Commensurate with our mission to demonstrate these societal benefits , Google Research’s programs in applied machine learning (ML) have helped place Alphabet among the top five most impactful corporate research institutions in the health and life sciences publications on the Nature Impact Index in every year from 2019 through 2022.

ML 104

ML ML Deep Learning Deep Learning 104

Google Research AI blog

FEBRUARY 21, 2023

With the amazing advances in machine learning (ML) and quantum computing, we now have powerful new tools that enable us to act on our curiosity, collaborate in new ways, and radically accelerate progress toward breakthrough scientific discoveries. You can find other posts in the series here.)

ML 105

ML ML Database Machine Learning 105

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 60

ML ML Deep Learning Deep Learning 60

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

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

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

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 94

AWS Machine Learning Machine Learning Deep Learning 94

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 74

ML ML Deep Learning Deep Learning 74

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 79

ML ML Machine Learning Machine Learning 79

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

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 95

AWS ML ML AI 95

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

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 96

Machine Learning Machine Learning AI AI 96

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

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 80

AWS ML ML Machine Learning 80

Heartbeat

JANUARY 11, 2023

The beginning of 2023 brings with it a shift in focus for Heartbeat and we’re excited to dive deeper into Comet related tutorials, more deep learning content, and some NLP and computer vision projects. Submissions are once again open and you can learn more on our Call for Contributors page.

Deep Learning 40

Deep Learning Deep Learning ML ML 40

IBM Journey to AI blog

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. What is MLOps?

Data Science 56

Data Science Machine Learning Machine Learning ML 56

Heartbeat

DECEMBER 14, 2023

LeCun received the 2018 Turing Award (often referred to as the "Nobel Prize of Computing"), together with Yoshua Bengio and Geoffrey Hinton, for their work on deep learning. Hinton is viewed as a leading figure in the deep learning community. > Finished chain. ") > Entering new AgentExecutor chain.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

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

Mlearning.ai

AUGUST 7, 2023

Introduction Training deep learning models is a heavy task from computation and memory requirement perspective. Motivation and proposed mechanism Training phase of deep learning models exhibit varied sensitivity to the amount of system resources (CPU cores, system memory or DRAM). Reference [ 1 ] Mohan, Jayashree, et al.

Clustering 52

Clustering Deep Learning Deep Learning Algorithm 52

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 91

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 91

Mlearning.ai

FEBRUARY 9, 2023

AI tools, such as ChatGPT and DALL-E, are developed with deep learning techniques. Deep learning is a subfield of AI that aims to extract knowledge from data through complex neural networks. Performing deep learning projects is difficult. Building a deep learning model takes both money and time.

Deep Learning 52

Deep Learning Deep Learning Natural Language Processing Machine Learning 52

AWS Machine Learning Blog

FEBRUARY 1, 2023

Recent developments in deep learning have led to increasingly large models such as GPT-3, BLOOM, and OPT, some of which are already in excess of 100 billion parameters. Many enterprise customers choose to deploy their deep learning workloads using Kubernetes—the de facto standard for container orchestration in the cloud.

AWS 90

AWS Clustering Deep Learning Deep Learning 90

AWS Machine Learning Blog

FEBRUARY 9, 2023

In 2022, the Earth’s atmosphere contains more than 400 parts per million of carbon dioxide, which is 50% more than it had in 1750. We use the TimeRangeFilter to select data from January 2021 to July 2022. The water surface area clearly decreased between February 2021 and July 2022. Since 1993, sea levels have risen 102.5

Machine Learning 54

Machine Learning Machine Learning ML ML 54

Snorkel AI

JUNE 20, 2023

He presented “Lightning Talk: Leveraging NLP to Extract Value From Business Data” at Snorkel AI’s The Future of Data-Centric AI Summit in 2022. We are all familiar with the notion that deep learning language models and computer vision are technologies that will be widely used in business going forward. You call a call center.

Deep Learning 52

Deep Learning Deep Learning Data Scientist Machine Learning 52

Snorkel AI

JUNE 20, 2023

He presented “Lightning Talk: Leveraging NLP to Extract Value From Business Data” at Snorkel AI’s The Future of Data-Centric AI Summit in 2022. We are all familiar with the notion that deep learning language models and computer vision are technologies that will be widely used in business going forward. You call a call center.

Deep Learning 52

Deep Learning Deep Learning Data Scientist Machine Learning 52

Defined.ai blog

OCTOBER 9, 2022

Fight sophisticated cyber attacks with AI and ML When “virtual” became the standard medium in early 2020 for business communications from board meetings to office happy hours, companies like Zoom found themselves hot in demand. There is also concern that attackers are using AI and ML technology to launch smarter, more advanced attacks.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence ML ML 52

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

ODSC - Open Data Science

APRIL 3, 2023

Data Science & Machine Learning There’s an increasing amount of overlap between data scientists and data analysts, as shown by the frameworks and tools noted in each chart. As a machine learning library, pandas is powerful for data analysis and manipulation, earning it a spot as the only ML library on the list.

Analytics 52

Analytics Analytics Data Analyst SQL 52

Heartbeat

DECEMBER 8, 2023

He focused on generative AI trained on large language models, The strength of the deep learning era of artificial intelligence has lead to something of a renaissance in corporate R&D in information technology, according to Yann LeCun, chief AI. Hinton is viewed as a leading figure in the deep learning community.

Deep Learning 52

Deep Learning Deep Learning AI AI 52

AWS Machine Learning Blog

MARCH 6, 2024

As shown in the following table, many of the top-selling drugs in 2022 were either proteins (especially antibodies) or other molecules like mRNA translated into proteins in the body. Name Manufacturer 2022 Global Sales ($ billions USD) Indications Comirnaty Pfizer/BioNTech $40.8 Top companies and drugs by sales in 2022.

AWS 88

AWS Machine Learning Machine Learning ML 88

Snorkel AI

MAY 4, 2023

Join us on June 7-8 to learn how to use your data to build your AI moat at The Future of Data-Centric AI 2023. In 2022, the conference grew to 50 talks, 70 speakers, and more than five thousand registered attendees. Read the 2022 conference highlights or watch the talks on Youtube.

AI 52

AI AI Natural Language Processing ML 52

Snorkel AI

MAY 4, 2023

Join us on June 7-8 to learn how to use your data to build your AI moat at The Future of Data-Centric AI 2023. In 2022, the conference grew to 50 talks, 70 speakers, and more than five thousand registered attendees. Read the 2022 conference highlights or watch the talks on Youtube.

AI 52

AI AI Natural Language Processing ML 52

AWS Machine Learning Blog

FEBRUARY 20, 2024

In this post, we discuss deploying scalable machine learning (ML) models for diarizing media content using Amazon SageMaker , with a focus on the WhisperX model. ZOO Digital works with over 11,000 freelancers and localized over 600 million words in 2022 alone. __dict__[WAV2VEC2_MODEL].get_model(dl_kwargs={"model_dir":

AWS 91

AWS AI AI Machine Learning 91

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 Algorithm 52

Heartbeat

SEPTEMBER 13, 2023

For example, explainability is crucial if a healthcare professional uses a deep learning model for medical diagnoses. Captum allows users to explain both deep learning and traditional machine learning models. Explainability in Machine Learning || Seldon Blazek, P. Russell, C. & & Watcher, S.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Heartbeat

JANUARY 9, 2024

This is brought on by various developments, such as the availability of data, the creation of more potent computer resources, and the development of machine learning algorithms. LLMs received a lot of media attention when ChatGPT was released in December 2022. As a result, we observe an increase in the use of "LLMOps."

Natural Language Processing 52

Natural Language Processing Machine Learning Machine Learning Artificial Intelligence 52