AI & ML

Artificial intelligence and machine learning news

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AI & ML

Ensuring Data Integrity in Long-Running Tasks During Deployments

Managing long-running tasks during production deployments can lead to data integrity issues; here's how to prevent conflicting outputs.

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AI & ML

Building Trustworthy AI: Lessons from Fraud Review Experiences

Inspecting AI’s performance in fraud reviews highlights the need for better visibility and engineering in trustworthiness.

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AI & ML

Understanding and Troubleshooting Temporal Workflows for Efficiency

Learn how to effectively assess and resolve issues with Temporal Workflows to ensure steady progress and maintain business invariants.

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AI & ML

Improving CNN Workflows with Durable Execution Strategies Using Temporal

Temporal enhances the reliability of convolutional neural networks by ensuring durable execution across complex training and inference workflows.

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Unlocking Leadership Skills through Open Source Collaboration

Open source projects cultivate essential communication and interpersonal skills, vital for software engineers aiming for leadership roles.

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AI & ML

Navigating the AI Delegation Lifecycle: Strategies for Trustworthy Outputs

Learn how to effectively manage AI outputs with six key decisions that enhance governance and trustworthiness, ensuring audit readiness.

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AI & ML

MLB Players Association Advocates for Stricter Betting Marketing Guidelines

The MLB Players Association is pushing for a ban on personalized sportsbook marketing and broader restrictions on in-game betting as CBA discussions evolve.

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AI & ML

Rethinking Software Development: The Role of AI and Structured Workflows

AI-driven coding tools are speeding up development, but a structured software factory approach is essential for safe and efficient delivery.

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AI & ML

Rethinking Spreadsheet Integration: Java's Limits and Opportunities

Java's Apache POI is effective for basic Excel tasks, but struggles with complex formulas, highlighting challenges for developers in real-world applications.

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AI & ML

Understanding Tokenmaxxing: The Trap of Misleading AI Metrics

Many organizations fall into the trap of Tokenmaxxing, focusing on vanity metrics that detract from meaningful outcomes. Here’s how to shift your focus.

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AI & ML

Rethinking Infinite Scroll: The Pitfalls of Algorithm-Driven Design

As Meta faces scrutiny over the infinite scroll feature, web designers must confront the consequences of prioritizing engagement over user experience.

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AI & ML

Text Analysis Without a Backend: Replacing an LLM Call With Intl.Segmenter and 60 Lines of JavaScript

Last spring, I had six small text features to build: flag filler phrases in a draft, score sentence-length variation, format a citation, check a document against a rubric. My first design put all six ...

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AI & ML

Revolutionizing Performance Analysis with Ampere System Profiler

The Ampere System Profiler streamlines system-level performance analysis, offering easy reporting that helps identify bottlenecks quickly and effectively.

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The Essential Skills Behind Successful AI Engineering

The disparity in AI system performance stems from overlooked skills essential for effective implementation rather than just model choices.

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AI & ML

Kalshi Seeks to Keep Prediction Market Case in Federal Court Amid New York Legal Battle

Kalshi is contesting New York's attempt to shift its lawsuit to state court, citing important federal law questions surrounding commodities and gambling.

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AI & ML

Transforming Meeting Recordings into Intelligent Knowledge Bases with Microsoft Foundry

Transform your organization's meeting archives into accessible knowledge bases using Microsoft Foundry's fast transcription and Foundry IQ features.

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Scaling Temporal: Enhancing Performance through Strategic Worker Management

Effective scaling of Temporal relies on optimizing Worker management and task routing to address capacity limits and ensure reliability.

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Harnessing Open Source for Software Engineering Leadership Development

Open source projects provide a unique platform for software engineers to enhance their leadership and technical skills through real-world collaboration.

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AI & ML

Maximizing Performance of JMS Listeners with Java 21 Virtual Threads

Java 21 virtual threads enhance JMS listener performance by reducing platform-thread pressure without resorting to reactive programming.

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Transitioning from AI Prototyping to Scalable Infrastructure: What Teams Need to Know

Building AI prototypes is quick and easy, but scaling them to production systems is more complex than teams often expect.