AWS Machine Learning Blog

JUNE 18, 2024

More than 170 tech teams used the latest cloud, machine learning and artificial intelligence technologies to build 33 solutions. The attempt is disadvantaged by the current focus on data cleaning, diverting valuable skills away from building ML models for sensor calibration.

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AWS Machine Learning Blog

NOVEMBER 16, 2023

Photo by Scott Webb on Unsplash Determining the value of housing is a classic example of using machine learning (ML). Almost 50 years later, the estimation of housing prices has become an important teaching tool for students and professionals interested in using data and ML in business decision-making.

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Dataconomy

JUNE 6, 2024

Crypto tokens, which are AI-specific, are created to support the development of artificial intelligence systems, applications, platforms, and networks. NEAR Protocol incorporates AI and ML into platform systems, where smart contract deployment, network optimization, and security monitoring are performed automatically.

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Smart Data Collective

DECEMBER 19, 2019

Artificial Intelligence (AI) is always in the limelight from the last couple of years. In 2016, A Facebook bot tricked more than 10,000 Facebook users. Once the hackers can spot any vulnerability in the machine learning workflow, leveraging the power of AI, they can bemuse the ML models. Yes, it’s AI again!

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Dataconomy

AUGUST 2, 2024

Crypto tokens, which are AI-specific, are created to support the development of artificial intelligence systems, applications, platforms, and networks. NEAR Protocol incorporates AI and ML into platform systems, where smart contract deployment, network optimization, and security monitoring are performed automatically.

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Dataconomy

FEBRUARY 22, 2023

The decisive victory comes seven years after the AI system AlphaGo, devised by Google-owned research company DeepMind, defeated the world Go champion Lee Sedol by four games to one in 2016. Sedol attributed his retirement from Go three years later to the rise of AI, saying that it was “an entity that cannot be defeated.”

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AWS Machine Learning Blog

MARCH 29, 2023

there is enormous potential to use machine learning (ML) for quality prediction. ML-based predictive quality in HAYAT HOLDING HAYAT is the world’s fourth-largest branded baby diapers manufacturer and the largest paper tissue manufacturer of the EMEA. After the data preparation phase, a two-stage approach is used to build the ML models.

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AWS Machine Learning Blog

JULY 15, 2024

Video auto-dubbing that uses the power of generative artificial intelligence (generative AI ) offers creators an affordable and efficient solution. About the Authors Na Yu is a Lead GenAI Solutions Architect at Mission Cloud, specializing in developing ML, MLOps, and GenAI solutions in AWS Cloud and working closely with customers.

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AWS Machine Learning Blog

OCTOBER 10, 2023

Launched in 2021, Amazon SageMaker Canvas is a visual, point-and-click service that allows business analysts and citizen data scientists to use ready-to-use machine learning (ML) models and build custom ML models to generate accurate predictions without the need to write any code.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

These activities cover disparate fields such as basic data processing, analytics, and machine learning (ML). And finally, some activities, such as those involved with the latest advances in artificial intelligence (AI), are simply not practically possible, without hardware acceleration. Work by Hinton et al.

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DataRobot Blog

APRIL 29, 2022

Recently, Stanford University released its 2022 AI Index Annual Report , where it showed between 2016 and 2021, the number of bills containing artificial intelligence grew from 1 to 18 in 25 countries. The Framework for ML Governance. More on this topic. Download now. The post What is Model Risk and Why Does it Matter?

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ODSC - Open Data Science

FEBRUARY 20, 2023

He received the Ulf Grenander Prize from the American Mathematical Society in 2021, the IEEE John von Neumann Medal in 2020, the IJCAI Research Excellence Award in 2016, the David E. His research interests bridge the computational, statistical, cognitive, biological, and social sciences.

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How to Learn Machine Learning

DECEMBER 4, 2022

In recent years, artificial intelligence (AI) has made significant advances in its ability to complete various tasks that were once thought to be exclusive to humans. Programming a computer with artificial intelligence (Ai) allows it to make decisions on its own. This includes the ability to write code.

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O'Reilly Media

APRIL 5, 2023

The notion that artificial intelligence will help us prepare for the world of tomorrow is woven into our collective fantasies. In 2016, Microsoft’s Tay chatbot was shut down after making racist and sexist comments. That’s because AI algorithms are trained on data.

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AWS Machine Learning Blog

JANUARY 17, 2024

SageMaker Studio is an integrated development environment (IDE) that provides a single web-based visual interface where you can access purpose-built tools to perform all machine learning (ML) development steps, from preparing data to building, training, and deploying your ML models. He retired from EPFL in December 2016.nnIn

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Alation

FEBRUARY 1, 2022

Between 2016 and 2019, robot-vacuum cleaner sales jumped by 13% year over year. Sheer volume of data makes automation with Artificial Intelligence & Machine Learning (AI & ML) an imperative. But to improve and automate complex processes, AI & ML are key. The Role of Automation in Data Governance.

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How to Learn Machine Learning

OCTOBER 10, 2024

The quality of your training data in Machine Learning (ML) can make or break your entire project. Microsoft’s Tay Chatbot Misfire Microsoft launched an AI chatbot called Tay on Twitter in 2016. Data Quality Factors to Consider So, how can you avoid these types of failures in your ML projects?

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ODSC - Open Data Science

SEPTEMBER 22, 2023

Rama Akkiraju | VP AI/ML for IT | NVIDIA Rama is a multi-award-winning, and industry-recognized Artificial Intelligence (AI) leader with a proven track record of delivering enterprise-grade innovative products to market by building and leading high-performance engineering teams. Army’s first deployment of 3G and 4G networks.

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Mlearning.ai

MAY 15, 2023

describe() count 9994 mean 2017-04-30 05:17:08.056834048 min 2015-01-03 00:00:00 25% 2016-05-23 00:00:00 50% 2017-06-26 00:00:00 75% 2018-05-14 00:00:00 max 2018-12-30 00:00:00 Name: Order Date, dtype: object Average sales per year df['year'] = df['Order Date'].apply(lambda Yearly average sales. Convert it into a graph.

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ODSC - Open Data Science

OCTOBER 4, 2024

He is a member of the National Academy of Engineering and the American Academy of Arts and Sciences, and recipient of the 2001 IEEE Kanai Award for Distributed Computing and the 2016 ACM Software Systems Award. Previously, Ali was the Head of Machine Learning & Worldwide TechLeader for AWS AI / ML specialist solution architects.

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ML Review

JUNE 4, 2018

Hence, as we shall see, attention mechanisms and reinforcement learning are at the forefront of the latest advances — and their success may one day reduce some of the decision-process opacity that harms other areas of artificial intelligence research. Source : Britz (2016)[ 62 ] CNNs can encode abstract features from images.

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ODSC - Open Data Science

AUGUST 16, 2024

In 2016, he was named the “most influential computer scientist” worldwide in Science magazine. Michael, currently a Distinguished Professor at the University of California, Berkeley, has made significant contributions to the field of AI throughout his extensive career.

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DagsHub

JULY 25, 2024

Source: Author Introduction Deep learning, a branch of machine learning inspired by biological neural networks, has become a key technique in artificial intelligence (AI) applications. Deep learning methods use multi-layer artificial neural networks to extract intricate patterns from large data sets.

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Heartbeat

FEBRUARY 2, 2024

Visual Question Answering (VQA) stands at the intersection of computer vision and natural language processing, posing a unique and complex challenge for artificial intelligence.

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ML Review

FEBRUARY 26, 2018

2016 [6] Li J, Monroe W, Ritter A, et al. Learning concept embeddings for query expansion by quantum entropy minimization[C]// Twenty-Eighth AAAI Conference on Artificial Intelligence. Asynchronous Methods for Deep Reinforcement Learning[J]. Deep Reinforcement Learning for Dialogue Generation[J]. 7] Sordoni A, Bengio Y, Nie J Y.

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ML Review

MAY 3, 2018

In some senses, we are getting closer to a generalisable artificial intelligence; knowledge in deep learning is consolidating into a more paradigmatic approach. 2016) — “ LipNet: End-to-End Sentence-level Lipreading.” [17] Such congruency allows researchers from all disciplines to leverage AI in new and exciting ways.

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Dataconomy

SEPTEMBER 25, 2023

AI and ML manage to touch our business life with AP automation systems. Finally, some advanced AP automation solutions leverage artificial intelligence (AI) and machine learning (ML) technologies to improve invoice processing accuracy, detect fraudulent activity, and predict future spend patterns.

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Snorkel AI

MARCH 1, 2023

Foundation Models (FMs), such as GPT-3 and Stable Diffusion, mark the beginning of a new era in machine learning and artificial intelligence. This model debuted in June 2020, but remained a tool for researchers and ML practitioners until its creator, OpenAI, debuted a consumer-friendly chat interface in November 2022.

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DrivenData Labs

MARCH 30, 2023

Our team is driven by a shared vision that data is the ultimate source of power for artificial intelligence. Participation in the challenge of transforming Financial Crime Prevention was motivated by our team’s research interests and expertise in Artificial Intelligence and Security. What motivated you to participate? :

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Google Research AI blog

JANUARY 18, 2023

Language Models Computer Vision Multimodal Models Generative Models Responsible AI* Algorithms ML & Computer Systems Robotics Health General Science & Quantum Community Engagement * Other articles in the series will be linked as they are released. language models, image classification models, or speech recognition models).

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Heartbeat

AUGUST 23, 2023

NLP is fundamentally an interdisciplinary field that blends linguistics, computer science, and artificial intelligence to provide robots with the capacity to comprehend and analyze human language. Artificial intelligence in law: The state of play 2016. Natural Language Engineering , 25 (1), 211–217.

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Ocean Protocol

MAY 24, 2024

The challenge required a detailed analysis of Google Trends data, integration of additional data sources, and the application of advanced ML methods to predict market behaviors. Participants demonstrated outstanding abilities in utilizing ML and data analysis to probe and predict movements within the cryptocurrency market.

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AWS Machine Learning Blog

NOVEMBER 21, 2023

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from any document or image. AnalyzeDocument Layout is a new feature that allows customers to automatically extract layout elements such as paragraphs, titles, subtitles, headers, footers, and more from documents.

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IBM Journey to AI blog

SEPTEMBER 11, 2023

In 2016, Db2 for z/OS moved to a continuous delivery model that provides new capabilities and enhancements through the service stream in just weeks (and sometimes days) instead of multi-year release cycles. Overall, this supports millions of inserts a second, trillions of rows in a single table and more.

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Mlearning.ai

JANUARY 27, 2023

S094: Computer Vision by Lex Fridman ☆ CNN Architectures by Michigan online ☆ Tensorflow Object Detection by Nicholas Renotte ☆ Detection and Segmentation by Stanford ☆ CNN by Andrej Karpathy (2016) ☆ CNN by Stanford University School of Engineering (2017) ☆ Introduction to Deep Learning and Self-Driving Cars by Lex Fridman [MIT 6.S094]

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Heartbeat

SEPTEMBER 13, 2023

Artificial Intelligence systems are known for their remarkable performance in image classification, object detection, image segmentation, and more. The explainability concept involves providing insights into the decisions and predictions made by artificial intelligence (AI) systems and machine learning models.

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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. YOLO-NAS in action YOLO models are famous for two main reasons: Impressive speed and accuracy. Ability to detect objects in images quickly and dependably. Introducing ?️YOLO-NAS:

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