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​[[{“value”:” Table of contents Hardware Generation without Templates Input IR: Affine, Relation-Centric Semantics (Deconstruct) Front End: FU Graph + Memory Co-Design (Architect) Back End: Compile & Optimize to RTL (Compile & Optimize) Outcome Importance for each segment How the “Compiler for AI Chips” Works—Step-by-Step ?… Read More »MIT’s LEGO: A Compiler for AI Chips that Auto-Generates Fast, Efficient Spatial Accelerators Michal Sutter Artificial Intelligence Category – MarkTechPost

​[[{“value”:” This post was written with Alex Gnibus of Stability AI. Stability AI Image Services are now available in Amazon Bedrock, offering ready-to-use media editing capabilities delivered through the Amazon Bedrock API. These image editing tools expand on the capabilities of Stability AI’s Stable Diffusion… Read More »Scale visual production using Stability AI Image Services in Amazon Bedrock Alex Gnibus Artificial Intelligence

​[[{“value”:” Amazon Bedrock now offers Stability AI Image Services: 9 tools that improve how businesses create and modify images. The technology extends Stable Diffusion and Stable Image models to give you precise control over image creation and editing. Clear prompts are critical—they provide art direction… Read More »Prompting for precision with Stability AI Image Services in Amazon Bedrock Suleman Patel Artificial Intelligence

​[[{“value”:” AI agents are no longer just chatbots that spit out answers. They’re evolving into complex systems that can reason step by step, call APIs, update dashboards, and collaborate with humans in real time. But this raises a key question: how should agents talk to… Read More »Bringing AI Agents Into Any UI: The AG-UI Protocol for Real-Time, Structured Agent–Frontend Streams Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” As organizations scale their use of generative AI, many workloads require cost-efficient, bulk processing rather than real-time responses. Amazon Bedrock batch inference addresses this need by enabling large datasets to be processed in bulk with predictable performance—at 50% lower cost than on-demand inference. This… Read More »Monitor Amazon Bedrock batch inference using Amazon CloudWatch metrics Vamsi Thilak Gudi Artificial Intelligence

​[[{“value”:” Organizations building custom machine learning (ML) models often have specialized requirements that standard platforms can’t accommodate. For example, healthcare companies need specific environments to protect patient data while meeting HIPAA compliance, financial institutions require specific hardware configurations to optimize proprietary trading algorithms, and research… Read More »Use AWS Deep Learning Containers with Amazon SageMaker AI managed MLflow Gunjan Jain Artificial Intelligence

​This article offers a hands-on Python introduction to  This article offers a hands-on Python introduction to  Read More  

​This article introduces, through a hands-on Python example, cuDF : one of the latest Python libraries designed by  This article introduces, through a hands-on Python example, cuDF : one of the latest Python libraries designed by  Read More