A recent study by MIT’s Project NANDA highlighted a sobering statistic: Roughly 95% of AI projects fail to deliver ...
The most read technical articles of the year cover a wide range of topics, including contributions on AI, design patterns, ...
Code-to-Runtime: Using Apiiro’s proprietary "Applicative Fingerprinting" technology, Apiiro AI-SAST automatically maps code resources with their specific build and production artifacts to distinguish ...
Aaron Erickson at QCon AI NYC 2025 emphasized treating agentic AI as an engineering challenge, focusing on reliability ...
Software extends far beyond desktops. Embedded systems operate inside vehicles, medical devices, industrial machines, and ...
1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...
Memory swizzling is the quiet tax that every hierarchical-memory accelerator pays. It is fundamental to how GPUs, TPUs, NPUs, ...
Modern Engineering Marvels on MSN
Sonatus’ AI-defined vehicle vision reshapes automotive software architecture
The most dangerous misconception in this automotive software race is thinking that adding more code simply makes a car “software-defined.” Sonatus’ leadership insists that the real transformation ...
Left-shifting DFT, scalable tests from manufacturing to the field, enabling system-level tests for in-field debug.
Discover the top mobile app development tools for 2025, designed to accelerate app creation and improve user experience. From low-code solutions to comprehensive IDEs, find the right tools for your ...
Symbolor AI seeks to translate advanced analytical methods into a more approachable digital experience. The platform brings ...
Although cryptographic standards are evolving in response to quantum threats, the industry recognises that software cannot ...
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