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The new Matter-friendly Yale Smart Lock is especially great for Google Home users, but anyone will find it easy to get started.
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 Amazon today has the AirPods 4 available for $99.00, down from $129.00. This is a second-best price on the AirPods 4, which is the base model without Active Noise Cancellation, and it's accompanied by a solid deal on the AirPods Max 2.
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Anthropic says Mythos-class AI models could reach all customers within weeks, after Project Glasswing exposed major cybersecurity risks.
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 Apple's software engineers are testing iOS 26.5.1, according to the MacRumors visitor logs, which have been a reliable indicator of upcoming iOS versions.
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Elon Musk settled with the SEC in a case that alleged he saved $150 million in 2022 by filing paperwork disclosing purchases of Twitter shares 11 days late.
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Artificial intelligence is not flash in the pan — it is here to stay. Gartner says more than 80% of enterprises will have used some form of generative AI APIs or applications by 2026. If you plan to be among those 80%, then you have to determine the best way to train and deploy it, on premises or in the cloud.
AI training requires specialized hardware that is very, very expensive compared to standard server equipment. It starts at the mid-six figures and can run into the several-million-dollar range. And that hardware cannot be repurposed for other uses such as databases.
In addition to purchasing and maintaining the AI hardware, there is the model on which your AI application is based. Training is the difficult part of AI and the most process intensive. Training can take weeks or even months, depending on the size of the data set. That could be months you don't have.
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Dell has unveiled a range of new laptops and PCs featuring neural processing units (NPUs) designed to run AI workloads on-device for improved video call quality and better laptop battery life.
Dell is one of several hardware vendors looking to benefit from growing interest in so-called "AI PCs." The moniker refers to the inclusion of NPUs that are more adept than CPUs or GPUs when it comes to processing generative AI (genAI) and other AI-based workloads.
These NPUs are set to become the norm in the coming years, analysts say, with major players such as Intel, AMD, Nvidia, and Qualcomm all offering NPUs. Gartner predicts AI PCs will make up 43% of PC sales in 2025; IDC puts the figure at 60% of the market by 2027.
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