Bridging philosophy and AI to explore computing ethics

During a meeting of class 6.C40/24.C40 (Ethics of Computing), Professor Armando Solar-Lezama poses the same impossible question to his students that he often asks himself in the research he leads with the Computer Assisted Programming Group at MIT: “How do we make sure that a machine does what we want, and only what we want?” At…

Faster distributed graph neural network training with GraphStorm v0.4

Faster distributed graph neural network training with GraphStorm v0.4

GraphStorm is a low-code enterprise graph machine learning (ML) framework that provides ML practitioners a simple way of building, training, and deploying graph ML solutions on industry-scale graph data. Although GraphStorm can run efficiently on single instances for small graphs, it truly shines when scaling to enterprise-level graphs in distributed mode using a cluster of…

Amazon Q Business simplifies integration of enterprise knowledge bases at scale

Amazon Q Business simplifies integration of enterprise knowledge bases at scale

In this new era of emerging AI technologies, we have the opportunity to build AI-powered assistants tailored to specific business requirements. Amazon Q Business, a new generative AI-powered assistant, can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in an enterprise’s systems. Large-scale data ingestion is crucial for…

Fine-tune and host SDXL models cost-effectively with AWS Inferentia2

Fine-tune and host SDXL models cost-effectively with AWS Inferentia2

Building upon a previous Machine Learning Blog post to create personalized avatars by fine-tuning and hosting the Stable Diffusion 2.1 model at scale using Amazon SageMaker, this post takes the journey a step further. As technology continues to evolve, newer models are emerging, offering higher quality, increased flexibility, and faster image generation capabilities. One such…

Protect your DeepSeek model deployments with Amazon Bedrock Guardrails

Protect your DeepSeek model deployments with Amazon Bedrock Guardrails

The rapid advancement of generative AI has brought powerful publicly available large language models (LLMs), such as DeepSeek-R1, to the forefront of innovation. The DeepSeek-R1 models are now accessible through Amazon Bedrock Marketplace and Amazon SageMaker JumpStart, and distilled variants are available through Amazon Bedrock Custom Model Import. According to DeepSeek AI, these models offer…

How Untold Studios empowers artists with an AI assistant built on Amazon Bedrock

How Untold Studios empowers artists with an AI assistant built on Amazon Bedrock

Untold Studios is a tech-driven, leading creative studio specializing in high-end visual effects and animation. Our commitment to innovation led us to a pivotal challenge: how to harness the power of machine learning (ML) to further enhance our competitive edge while balancing this technological advancement with strict data security requirements and the need to streamline…

Building the future of construction analytics: CONXAI’s AI inference on Amazon EKS

Building the future of construction analytics: CONXAI’s AI inference on Amazon EKS

This is a guest post co-written with Tim Krause, Lead MLOps Architect at CONXAI. CONXAI Technology GmbH is pioneering the development of an advanced AI platform for the Architecture, Engineering, and Construction (AEC) industry. Our platform uses advanced AI to empower construction domain experts to create complex use cases efficiently. Construction sites typically employ multiple…

Accelerate your Amazon Q implementation: starter kits for SMBs

Accelerate your Amazon Q implementation: starter kits for SMBs

Whether you’re a small or medium-sized business (SMB) or a managed service provider at the beginning of your cloud journey, you might be wondering how to get started. Questions like “Am I following best practices?”, “Am I optimizing my cloud costs?”, and “How difficult is the learning curve?” are quite common. AWS is here to…