Towards AI

MARCH 1, 2023

How AI Can Help Create and Optimize Drugs To Treat Opioid Addiction The use of artificial intelligence for drug discovery has shown promise in the development of potential treatments for opioid addiction. Preclinical studies suggest that blocking kappa-opioid receptors may be an effective approach to treating opioid dependence.

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AWS Machine Learning Blog

MAY 23, 2023

A recent PwC CEO survey unveiled that 84% of Canadian CEOs agree that artificial intelligence (AI) will significantly change their business within the next 5 years, making this technology more critical than ever. Connect with him on LinkedIn.

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Machine Learning Machine Learning AWS ML 89

AWS Machine Learning Blog

SEPTEMBER 6, 2024

Generative artificial intelligence (AI) can be vital for marketing because it enables the creation of personalized content and optimizes ad targeting with predictive analytics. This post was co-written with Mickey Alon from Vidmob. Use case overview Vidmob aims to revolutionize its analytics landscape with generative AI.

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Pickl AI

DECEMBER 4, 2023

In the realm of Data Intelligence, the blog demystifies its significance, components, and distinctions from Data Information, Artificial Intelligence, and Data Analysis. and ‘‘What is the difference between Data Intelligence and Artificial Intelligence ?’. Look at the table below.

Data Analysis 52

Data Analysis Data Analysis Artificial Intelligence Artificial Intelligence 52

Heartbeat

JANUARY 9, 2024

Large language models have emerged as ground-breaking technologies with revolutionary potential in the fast-developing fields of artificial intelligence (AI) and natural language processing (NLP). These LLMs are artificial intelligence (AI) systems trained using large data sets, including text and code.

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Pickl AI

NOVEMBER 12, 2024

Understanding Embedded AI Embedded AI refers to the integration of Artificial Intelligence capabilities directly into embedded systems. These systems are designed for specific tasks within larger frameworks and often operate under constraints related to processing power, memory, and energy consumption.

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AWS Machine Learning Blog

MARCH 31, 2023

He is focusing on system architecture, application platforms, and modernization for the cabinet. His focus is to assist the Commonwealth with being able to provide its citizens a great customer service experience. He has been with the Transportation Cabinet since 2016 working in various IT roles.

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AWS Machine Learning Blog

NOVEMBER 24, 2023

The system architecture comprises several core components: UI portal – This is the user interface (UI) designed for vendors to upload product images. We’ve provided detailed instructions in the accompanying README file. The README file contains all the information you need to get started, from requirements to deployment guidelines.

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AWS Machine Learning Blog

NOVEMBER 17, 2023

In this section, we briefly introduce the system architecture. It also includes a light human review portal, empowering moderators to monitor streams, manage violation alerts, and stop streams when necessary. For more detailed information, refer to the GitHub repo.

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AWS Machine Learning Blog

FEBRUARY 24, 2023

In this post, we describe our design and implementation of the solution, best practices, and the key components of the system architecture. The solution is then able to make predictions on the rest of the training data, and route lower-confidence results for human review.

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ML ML AWS Data Pipeline 98

ODSC - Open Data Science

OCTOBER 12, 2023

Whether it’s using cryptography to secure software systems or designing distributed system architecture, he is always excited to learn and tackle new challenges. He has led teams building secure and scalable software at companies like Netflix and Twitter.

Data Science 52

Data Science System Architecture Computer Science Computer Science 52

IBM Journey to AI blog

JULY 18, 2024

Computing Computing is being dominated by major revolutions in artificial intelligence (AI) and machine learning (ML). Two major communication-based examples of distributed computing have been the internet and e-mail, both of which transformed modern life.

Cloud Computing 58

Cloud Computing Database Internet of Things ML 58

Flipboard

DECEMBER 6, 2023

He has over a decade of industry experience in software development and system architecture. In her free time, she likes to go for long runs along the beach. Stanislav Yeshchenko is a Software Architect at Q4 Inc. Stanislav is dedicated to driving technical innovation and shaping strategic solutions in the field.

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SQL Database AWS Machine Learning 168

IBM Journey to AI blog

AUGUST 15, 2023

Establish interconnectivity between multiple systems to speed up order delivery A siloed IT system architecture often leads to inefficient business processes, making it difficult to quickly identify risks and resulting in lengthy order delivery cycles.

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AI AI System Architecture Analytics 65

Pickl AI

DECEMBER 10, 2024

The systems architecture combines Oracles hardware expertise with software optimisation to deliver unmatched performance. Furthermore, its seamless integration with Oracle Business Intelligence Suite enables users to harness its full potential. Core Features Exalytics is engineered for speed and scalability.

Database 52

Database Analytics Analytics Business Intelligence 52

AWS Machine Learning Blog

SEPTEMBER 18, 2024

He is partnering with key GenAI foundation model providers, AWS service teams, strategic customers, founders, universities, venture ecosystems, and Amazon to develop technology strategy that enables the next generation of artificial intelligence, machine learning, and accelerated computing on AWS.

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Clustering AWS ML ML 109

ODSC - Open Data Science

JULY 18, 2023

However, when it comes to complex integration tasks that require a deep understanding of the system architecture and intricate interactions between different components, AI-generated code often falls short without the important human element.

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AWS Machine Learning Blog

AUGUST 15, 2023

System complexity – The architecture complexity requires investments in MLOps to ensure the ML inference process scales efficiently to meet the growing content submission traffic. With the high accuracy of Amazon Rekognition, the team has been able to automate more decisions, save costs, and simplify their system architecture.

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Dataconomy

MARCH 19, 2025

Nvidia GR00T N1 and its capabilities The Nvidia Isaac GR00T N1 foundation model introduces a dual-system architecture inspired by human cognition. System 1 acts as a fast-thinking action model emulating human reflexes and intuition, while System 2 serves as a slow-thinking model for methodical decision-making.

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AWS Machine Learning Blog

MARCH 5, 2025

It requires checking many systems and teams, many of which might be failing, because theyre interdependent. Developers need to reason about the system architecture, form hypotheses, and follow the chain of components until they have located the one that is the culprit.

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AWS Machine Learning Blog

APRIL 2, 2025

He focuses on the Automotive and Manufacturing sector, specializing in helping organizations architect, optimize, and scale artificial intelligence and machine learning solutions, with particular expertise in autonomous vehicle technologies. Prior to AWS, he went to Boston University and graduated with a degree in Computer Engineering.

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Clustering AWS AI AI 88

ODSC - Open Data Science

MARCH 31, 2025

Beyond the Prompt: Architecting Reliable Enterprise LLMAgents Vivek Muppalla, Director of AI Engineering atCohere As organizations move from prototypes to production, they need more than prompt tuningthey need full system architectures.

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AI AI System Architecture Data Science 52

AWS Machine Learning Blog

MARCH 13, 2025

Advancements in multimodal artificial intelligence (AI), where agents can understand and generate not just text but also images, audio, and video, will further broaden their applications. This post will discuss agentic AI driven architecture and ways of implementing.

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AWS Machine Learning Blog

FEBRUARY 19, 2025

Over the past 30 years, Andy has led efforts around Software Development, System Architecture, Data Processing, and Development Workflows for large enterprises. Andy has helped companies to architect, migrate, and modernize large-scale applications to AWS.

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