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Machine learning engineers know the frustration well. You’ve spent weeks perfecting a model that achieves impressive accuracy in training, only to discover it crawls when deployed for real-time predictions. The choice becomes stark: accept poor performance or spend months manually optimizing for your target hardware. Amazon SageMaker Neo eliminates this painful trade-off entirely. The service […]

When nearly half of senior executives admit they can’t see what’s in their software supply chain, we have a problem. A new global survey of 1,500 C-suite and senior executives reveals that 49% lack the visibility needed to understand their software supply chain risks. More troubling: 80% of those with poor visibility experienced a breach

Serverless computing started in the cloud, but it’s not staying there. A recent special issue in Ad Hoc Networks explores how researchers are combining edge computing with serverless architectures, and the results suggest we’re about to see a fundamental shift in how distributed applications work. The research, led by teams from institutions across India, Australia,

The data collaboration problem has always been tricky. Companies want to build better models together, but sharing sensitive customer data feels risky. What if there was a way to train machine learning models on combined datasets without anyone actually seeing the raw data? AWS Clean Rooms ML just added Parquet file format support, and this

When Swami Sivasubramanian stepped onto the AWS Summit New York stage in July 2025, the announcement about Amazon Nova customization through SageMaker seemed like another incremental feature release. But buried within the technical details lies a more significant shift: AWS is democratizing foundation model customization through pre-built recipes, potentially transforming how organizations approach AI model

When Prime Minister Keir Starmer shared the stage with Nvidia CEO Jensen Huang at London Tech Week in June 2025, the symbolism was unmistakable. Britain’s announcement of a £1 billion ($1.34 billion) investment in AI computing infrastructure represents more than national ambition—it signals a fundamental shift in how governments worldwide are approaching the AI hardware

The promise is seductive: AI coding assistants that understand your codebase, suggest improvements, and accelerate development cycles. Companies worldwide have rushed to integrate tools like GitHub Copilot, Cursor, and Claude into their workflows, expecting dramatic productivity gains. But what if the reality doesn’t match the hype? A comprehensive study published in July 2025 tracked 16

AWS June Mid-Month Update: FinOps, AI, and Infrastructure Enhancements The first half of June 2025 has delivered a substantial wave of AWS updates across multiple service categories. From enhanced FinOps capabilities to expanded AI tooling and global infrastructure growth, these announcements demonstrate AWS’s commitment to addressing real-world enterprise challenges while preparing for the upcoming re:Inforce

Meta has unveiled V-JEPA 2, a significant advancement in world modeling that brings us closer to artificial intelligence systems capable of understanding and reasoning about the physical world. This 1.2 billion-parameter model represents a crucial step toward achieving advanced machine intelligence (AMI) and building AI agents that can operate effectively in real-world environments. The release

Software development has fundamentally shifted with sophisticated AI coding assistants like Claude. What started as a meme has evolved into a legitimate development methodology that can deliver genuine 10x productivity improvements when applied correctly. But like any powerful tool, the difference between success and disaster lies in how you wield it. This post is heavily