Human Resources is an area in many organisations where AI can have significant operational impact. The technology is now being embedded into day-to-day operations, in activities like answering employees’
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Image by Author # Introduction Working with large datasets in Python often leads to a common problem: you load your data with Pandas, and your program slows to a
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Abu Dhabi-based AI group G42 on Tuesday announced the release of NANDA 87B, an open-source Hindi-English large language model with 87 billion parameters, an upgrade to its earlier NANDA
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Google has released a “reimagined” version of its Gemini Deep Research agent, offering developers access to the tech giant’s most advanced autonomous research capabilities. Powered by Gemini 3 Pro,
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What customers are saying Google Cloud customers are already using Gemini’s native audio capabilities to drive real business results, from mortgage processing to customer calls. “Users often forget they’re
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Generative AI’s experimental phase is concluding, making way for truly autonomous systems in 2026 that act rather than merely summarise. 2026 will lose the focus on model parameters and
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Image by Author # Introduction Standard Python objects store attributes in instance dictionaries. They are not hashable unless you implement hashing manually, and they compare all attributes by default.
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Microsoft CEO Satya Nadella stepped onto the Bengaluru stage not like a global tech leader carrying the weight of one of a $3.5 trillion company in the AI race,
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As with any IT system, generative and agentic AI implementations in business settings need to be secure. On the latest episode of the Targeting AI podcast from AI Business,
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Increasing speed of discovery Cyril Zipfel, professor of Molecular & Cellular Plant Physiology at the University of Zurich and Sainsbury Lab, saw research timelines shrink drastically. They used AlphaFold
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