Transformer architecture, the one innovation that supercharged AI: Best ideas of the century

Today’s most powerful AI tools – those that can summarize documents, generate artwork, write poetry or predict how incredibly complex proteins fold – all rest on the shoulders of the “transformer”. This neural network architecture, first announced in 2017 at a modest conference center in California, allows machines to process information in a way that…

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AI in drug discovery: 2025 in review

Pour ceux qui espéraient que l’intelligence artificielle aiderait à fournir des médicaments réellement efficaces, l’espoir perdure. Ici, le Dr Raminderpal Singh revient sur la triste réalité que 2025 a apportée à l’industrie. L’année 2025 restera dans les mémoires comme le moment où la découverte de médicaments contre l’IA est passée de la promesse à la…

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Heterogeneous computing and the future of AI

Heterogeneous computing is quietly redefining how AI appears in everyday devices, bringing intelligence closer to where people actually use it rather than keeping it locked in remote cloud systems. As AI expands into physical products, success depends less on raw performance and more on how efficiently CPUs, GPUs, and NPUs work together. Heterogeneous computing manifests…

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Agentic AI edges closer to everyday production use

Many security and operations teams now spend less time wondering whether agentic AI has a place in production and more time determining how to run it securely at scale. A new research report from Dynatrace examines how large organizations are moving agentic AI from pilot projects to real-world environments and where these efforts are stagnating….

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