Towards AI

MARCH 1, 2023

Last Updated on March 4, 2023 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louis This week we were pleased to note an acceleration in progress toward open-source alternatives to ChatGPT as well as signs of increased flexibility in access to these models.

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AWS Machine Learning Blog

FEBRUARY 24, 2023

AWS recently released Amazon SageMaker geospatial capabilities to provide you with satellite imagery and geospatial state-of-the-art machine learning (ML) models, reducing barriers for these types of use cases. For more information, refer to Preview: Use Amazon SageMaker to Build, Train, and Deploy ML Models Using Geospatial Data.

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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. Vidmob’s AI journey Vidmob uses AI to not only enhance its creative data capabilities, but also pioneer advancements in the field of RLHF for creativity.

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Snorkel AI

MAY 3, 2023

In this article, we share our journey and hope that it helps you design better machine learning systems. Table of contents Why we needed to redesign our interactive ML system In this section, we’ll go over the market forces and technological shifts that compelled us to re-architect our ML system.

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AWS Machine Learning Blog

MARCH 10, 2025

The intersection of AI and financial analysis presents a compelling opportunity to transform how investment professionals access and use credit intelligence, leading to more efficient decision-making processes and better risk management outcomes. These operational inefficiencies meant that we had to revisit our solution architecture.

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AWS Machine Learning Blog

MAY 23, 2023

With organizations increasingly investing in machine learning (ML), ML adoption has become an integral part of business transformation strategies. However, implementing ML into production comes with various considerations, notably being able to navigate the world of AI safely, strategically, and responsibly.

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AWS Machine Learning Blog

NOVEMBER 17, 2023

Amazon Rekognition Content Moderation , a capability of Amazon Rekognition , automates and streamlines image and video moderation workflows without requiring machine learning (ML) experience. This process involves the utilization of both ML and non-ML algorithms. In this section, we briefly introduce the system architecture.

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AWS Machine Learning Blog

SEPTEMBER 18, 2024

The compute clusters used in these scenarios are composed of more than thousands of AI accelerators such as GPUs or AWS Trainium and AWS Inferentia , custom machine learning (ML) chips designed by Amazon Web Services (AWS) to accelerate deep learning workloads in the cloud. Because you use p4de.24xlarge

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AWS Machine Learning Blog

NOVEMBER 24, 2023

This is where Amazon Bedrock with its generative AI capabilities steps in to reshape the game. Unlocking the power of generative AI in retail Generative AI has captured the attention of boards and CEOs worldwide, prompting them to ask, “How can we leverage generative AI for our business?”

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Flipboard

DECEMBER 6, 2023

needed to address some of these challenges in one of their many AI use cases built on AWS. Amazon Bedrock Amazon Bedrock is a fully managed service that offers a choice of high-performing FMs from leading companies, including AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon.

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Google Research AI blog

FEBRUARY 14, 2023

Further improvements are gained by utilizing a novel structured dynamical systems architecture and combining RL with trajectory optimization , supported by novel solvers. Closing Advances in large models across the field of AI have spurred a leap in capabilities for robot learning.

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Snorkel AI

MAY 3, 2023

In this article, we share our journey and hope that it helps you design better machine learning systems. Table of contents Why we needed to redesign our interactive ML system In this section, we’ll go over the market forces and technological shifts that compelled us to re-architect our ML system.

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Snorkel AI

MAY 3, 2023

In this article, we share our journey and hope that it helps you design better machine learning systems. Table of contents Why we needed to redesign our interactive ML system In this section, we’ll go over the market forces and technological shifts that compelled us to re-architect our ML system.

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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). The way we create and manage AI-powered products is evolving because of LLMs. What is LLMOps? BERT and GPT are examples.

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AWS Machine Learning Blog

JANUARY 30, 2023

Amazon Forecast is a fully managed service that uses machine learning (ML) to generate highly accurate forecasts, without requiring any prior ML experience. With Forecast, there are no servers to provision or ML models to build manually. Delete the S3 bucket.

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IBM Journey to AI blog

JULY 18, 2024

Computing Computing is being dominated by major revolutions in artificial intelligence (AI) and machine learning (ML). The algorithms that empower AI and ML require large volumes of training data, in addition to strong and steady amounts of processing power.

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Pickl AI

DECEMBER 10, 2024

Summary: Oracle’s Exalytics, Exalogic, and Exadata transform enterprise IT with optimised analytics, middleware, and database systems. AI, hybrid cloud, and advanced analytics empower businesses to achieve operational excellence and drive digital transformation. Core Features Exalytics is engineered for speed and scalability.

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AWS Machine Learning Blog

AUGUST 15, 2023

The decision handler determines the moderation action and provides reasons for its decision based on the ML models’ output, thereby deciding whether the image required a further review by a human moderator or could be automatically approved or rejected.

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AWS Machine Learning Blog

NOVEMBER 12, 2024

Agmatix is an Agtech company pioneering data-driven solutions for the agriculture industry that harnesses advanced AI technologies, including generative AI, to expedite R&D processes, enhance crop yields, and advance sustainable agriculture. This post is co-written with Etzik Bega from Agmatix.

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AWS Machine Learning Blog

MARCH 5, 2025

In this post, we explain how BMW uses generative AI technology on AWS to help run these digital services with high availability. It requires checking many systems and teams, many of which might be failing, because theyre interdependent. It can be difficult to determine the root cause of issues in situations like this.

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AWS Machine Learning Blog

MARCH 13, 2025

The integration of generative AI agents into business processes is poised to accelerate as organizations recognize the untapped potential of these technologies. This post will discuss agentic AI driven architecture and ways of implementing. This post will discuss agentic AI driven architecture and ways of implementing.

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ODSC - Open Data Science

MARCH 31, 2025

Autonomous AI agents arent just an emerging research areatheyre rapidly becoming foundational in modern AI development. At ODSC East 2025 from May 13th to 15th in Boston, a full track of sessions is dedicated to helping data scientists, engineers, and business leaders build a deeper understanding of agentic AI.

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Flipboard

JANUARY 15, 2025

System architecture for GNN-based network traffic prediction In this section, we propose a system architecture for enhancing operational safety within a complex network, such as the ones we discussed earlier. To learn how to use GraphStorm to solve a broader class of ML problems on graphs, see the GitHub repo.

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AWS Machine Learning Blog

JANUARY 28, 2025

In production generative AI applications, responsiveness is just as important as the intelligence behind the model. In interactive AI applications, delayed responses can break the natural flow of conversation, diminish user engagement, and ultimately affect the adoption of AI-powered solutions.

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AWS Machine Learning Blog

FEBRUARY 19, 2025

Foundational models (FMs) and generative AI are transforming how financial service institutions (FSIs) operate their core business functions. Automated Reasoning checks can detect hallucinations, suggest corrections, and highlight unstated assumptions in the response of your generative AI application. For instance: Scenario A $1.5M

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