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AI is quick but risky for updating old software, researchers warn
At first glance, artificial intelligence looks like a software developer's dream. A recent McKinsey & Company report found ...
China’s new coding AI beats GPT-5.1 and Claude 4.5, with 128,000-token context helping you solve tougher repos faster and cut ...
Whether you’re evaluating AI upskilling platforms or building internal corporate AI training programs, this hierarchy ...
Software engineering is among the many fields being changed with the fast progress in large language models (LLMs). In a few years, LLMs have evolved from advanced code autocomplete tools to AI agents ...
anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...
AI adoption has skyrocketed as organizations strive to harness machine learning (ML) and artificial intelligence (AI) to drive efficiency and innovation. However, with the rapid adoption of AI comes ...
Enterprise AI adoption surged in 2025, but scaling still lags. Explore 7 key enterprise AI adoption trends shaping 2026.
China’s DeepSeek has published new research showing how AI training can be made more efficient despite chip constraints.
AWS, Cisco, CoreWeave, Nutanix and more make the inference case as hyperscalers, neoclouds, open clouds, and storage go ...
A prediction that looks plausible but diverges from reality can create high-risk, even catastrophic situations in driving ...
It’s time we officially bury the idea that AI means we won’t need software developers. For years, we’ve heard that generative AI and large language models (LLMs) are coming for our jobs. In software ...
8don MSNOpinion
When the AI bubble pops, Nvidia becomes the most important software company overnight
Today, Nvidia’s revenues are dominated by hardware sales. But when the AI bubble inevitably pops, the GPU giant will become ...
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