Join us at Azure Dev Summit 2025 - Microsoft for Developers

The success of AI-powered apps and agents hinges not only on cutting edge models and AI platforms, but on the developers who are chartered with designing innovative services that are secure, scalable, and grounded in the right knowledge. The inaugural Azure Dev Summit on October 13-16, 2025 in Lisbon, Portugal is the chance for you […]The post Join us at Azure Dev Summit 2025 appeared first on Microsoft for Developers.

Web gaming market booms as other sectors stall

A new report indicates the web gaming market is rocketing, in stark contrast to the levelling-out of the broader mobile, PC, and console markets. According to research by Playgama, the market for browser-based games has grown 2.7 times in the first half of 2025 compared to the same period in 2024. This represents a 4.9-fold […]The post Web gaming market booms as other sectors stall appeared first on Developer Tech News.

The hidden crisis behind AI's promise: Why data quality became an afterthought

Companies rushed into AI adoption without building the data foundations necessary to make it work reliably. Now they’re discovering that even the most sophisticated algorithms can’t overcome fundamentally flawed information, and the consequences extend far beyond poor performance metrics.  The problem is strategic. Companies are building AI applications on data foundations that were never designed … continue readingThe post The hidden crisis behind AI’s promise: Why data quality became an afterthought appeared first on SD Times.

July 2025: All AI updates from the past month

Google’s new Opal tool allows users to create mini AI apps with no coding required Google has launched a new experimental AI tool designed for users who want to build apps entirely using AI prompts, with no coding needed at all. Opal allows users to create mini AI apps by chaining together AI prompts, models, and … continue readingThe post July 2025: All AI updates from the past month appeared first on SD Times.

Maximizing Deep Learning Performance on CPUs using Modern Architectures

Bibek Bhattarai details Intel's AMX, highlighting its role in accelerating deep learning on CPUs. He explains how AMX optimizes GEMM operations using low-precision data (INT8, BF16) and tile-based memory management, boosting performance and efficiency. He shows how to leverage AMX through frameworks like TensorFlow/PyTorch or Intel tools for substantial gains in CPU-deployed AI models. By Bibek Bhattarai

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