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in.mashable.com > tech > 114980 > originos-7-explained-how-vivo-is-bringing-ai-and-productivity-to-android-17

OriginOS 7 Explained: How Vivo is Bringing AI And Productivity to Android 17

33+ min ago   (484+ words) Some of the improvements made to the interface in OriginOS 7 include Fluid Motion, Spring Animation, and Seamless Interaction. All these improvements aim to make the transitions smoother and allow the screen to react to the user's actions naturally. Another aspect…...


yahoo.com > news > science > articles > scientists-discover-whole-genus-deep-071129445.html

Scientists discover whole new genus of deep-sea ‘spaghetti worms’ with suction cups

1+ hour, 4+ min ago   (827+ words) Researchers have found a new kind of deep-sea "spaghetti worms" with suction cups on their bodies in the Indian Ocean, shedding more light on undiscovered marine species. The genus has been named Terebellosuctoria for the unusual sucker-like structures on the…...


apple.com > gr > newsroom > 2026 > 10 > meet-apple-homeview-a-new-way-to-enjoy-entertainment-and-manage-the-home

Meet Apple HomeView, a new way to enjoy entertainment, stay connected, and manage the home

10+ hour, 13+ min ago   (438+ words) Apple HomeView is powered by Apple Intelligence with Siri AI and built with privacy and security at its core Designed to fit in any space, HomeView can be placed on a tabletop as the center of the home or wall-mounted…...


eteknix.com > microsoft-launches-xbox-labs-following-surge-in-ai-decompilations-and-browser-ports

Microsoft Launches Xbox Labs Following Surge In AI Decompilations And Browser Ports

33+ min ago   (194+ words) The decision to establish this new group comes directly off the back of a massive surge in community-led technical projects over recent weeks. Independent programmers and modding communities have been utilising AI coding agents to dramatically speed up complex software…...


community.nasscom.in > communities > ai > open-semantic-interchange-missing-standard-ai-semantic-layers

Open Semantic Interchange: The Missing Standard for AI Semantic Layers

1+ min ago   (697+ words) As organizations scale with AI and agentic AI solutions, challenges become apparent regarding access to data. Modern data and AI architectures leverage multiple platforms and tools, each serving a specific purpose. However, no common standards for describing and exchanging information…...


community.nasscom.in > communities > ai > rise-physical-ai-automotive-manufacturing

The Rise of Physical AI in Automotive Manufacturing

1+ min ago   (311+ words) For years, automotive manufacturing has led the adoption of industrial automation, with technologies such as robotic arms and conveyor systems making production faster, more precise, and increasingly efficient. However, fixed automation designed for repetitive tasks has reached its limits. The…...


community.nasscom.in > communities > ai > mapping-shift-ccm-execution-governance-ai-driven-enterprise

Mapping the Shift from CCM to Execution Governance in an AI-driven Enterprise

1+ min ago   (426+ words) In my experience working with large financial institutions, I have seen a pattern in compliance management: Policies and controls are usually well documented, but their execution often depends on spreadsheets, emails, manual reviews, and periodic audits. This is sustainable only…...


community.nasscom.in > communities > ai-inside > ai-adoption-vs-ai-transformation-what-actually-changes-inside-enterprise

AI Adoption vs AI Transformation: What Actually Changes Inside an Enterprise?

1+ min ago   (927+ words) The underlying issue is that AI adoption and AI transformation are not the same thing. AI adoption introduces AI into existing processes. AI transformation changes how those processes are designed, how decisions are made, how teams operate, and how the…...


community.nasscom.in > communities > ai > gpu-utilization-during-model-loading-measuring-data-pipeline-stalls

GPU Utilization During Model Loading: Measuring Data Pipeline Stalls

1+ min ago   (1016+ words) PU utilization is often treated as a direct indicator of AI infrastructure performance. When utilization is low, the immediate assumption is that the workload needs more GPUs, better scheduling, or a more efficient model. But during model loading, low GPU…...