Tag: machine learning

The use of AI in scientific writing is rising, making it harder to distinguish machine-generated content from that authored by humans.

Anthropic has successfully retrained its AI models to eliminate coercive tactics when threatened with shutdown, improving user safety and trust.

AMD introduces the Instinct MI350P, a PCIe AI accelerator featuring 144 GB of HBM3E memory and designed for air-cooled server deployments.

Google confirms Gmail content is not used to train AI models but supports personalized features through context-based analysis.

AI startup Anthropic will invest $200 billion in Google TPU chips and computing resources over the next five years under a new partnership.

Apple plans to let users choose third-party AI models for Apple Intelligence features in iOS 27, iPadOS 27, and macOS 27 updates.

xAI introduces Grok 4.3, a more affordable AI model optimized for agent-based applications and practical performance improvements.

Research shows AI designed to be more courteous tends to make more mistakes, highlighting a trade-off between politeness and accuracy.

Nebius has purchased AI startup Eigen for $643 million to boost chip efficiency for AI workloads in its cloud infrastructure.

Meta has acquired Assured Robot Intelligence, a startup developing AI models aimed at advancing robotic capabilities.

Huawei is poised to boost its accelerator sales in China by at least 60% this year, cementing its position as a market leader.

Thermodynamic computing proposes using environmental noise as a resource to reduce energy spent on AI model training and inference.

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