Samsung unveils first-of-its-kind 2 nm mobile chip
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Samsung launched the Exynos 2600 — described as the world’s first 2 nm-process mobile SoC, based on Gate-All-Around (GAA) transistor architecture.
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The new chip brings significant gains in performance and power efficiency, promising major improvements for smartphones in AI tasks and gaming.
IBM to skill 5 million Indian youth in AI, cybersecurity & quantum by 2030
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Through IBM’s “SkillsBuild” initiative, the company plans to train up to 5 million people in India on AI, cybersecurity, and quantum-computing skills.
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This marks a big push toward building a future-ready workforce, aligned with global trends in emerging tech domains. (The Times of India)
Zoho’s homegrown chat app Arattai — updates in progress
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The founder of Zoho said the company is actively working on new features for Arattai and will step up marketing only when the app meets their feature-set expectations.
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Indicates that Arattai remains under active development, perhaps pointing to upcoming improvements in India-based messaging & collaboration tools.
Microsoft pledges $17.5 billion investment in India for AI & cloud infrastructure
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Microsoft announced a record investment to expand cloud infrastructure and AI capabilities in India, including building a hyperscale data-center expected to go live by mid-2026.
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The move suggests major acceleration of AI and cloud adoption across India’s enterprise and tech ecosystem.
Global trend: Enterprises lean on top machine-learning platforms
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According to a recent report from Info‑Tech Research Group, leading machine-learning platforms of 2025 — including Azure Machine Learning, Google Cloud Vertex AI, Databricks, and AWS Machine Learning — stand out in user satisfaction, reliability and performance.
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This reflects a broader shift: as AI adoption scales, enterprises are focused on platforms that offer governance, scalability, and predictable outcomes.
⚠️ Industry Challenges & Concerns
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Some major global and Indian tech firms are still undergoing workforce reductions, as companies including TCS, Google, Amazon and Microsoft restructure operations — a sign that even with growth in AI/automation, job-market disruption continues.
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Growing dependence on advanced hardware (like 2 nm chips or cloud infrastructure) may widen the gap between tech-rich and tech-poor regions, raising questions about digital divide and equitable access.