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IT Updates

Major Recent AI / IT Updates

  1. Google DeepMind releases Gemini Robotics 1.5 and Gemini Robotics‑ER 1.5
    These are robotics AI models that allow robots to plan multi‑step tasks (not just follow single instructions). For example, sorting laundry, packing, recycling with awareness of local rules. These models combine vision, language, action, and include a “motion transfer” capability so skills learned on one robot type can be adapted to another. Financial Times+1

  2. Databricks + OpenAI partnership for enterprise AI
    Databricks is integrating OpenAI’s models (including reportedly GPT‑5) into its platform (Agent Bricks) so businesses can more easily build and scale AI solutions tailored to their data. This is meant to help enterprises embed AI agents in workflows. Reuters

  3. Windows 11 / Microsoft makes on‑device AI more accessible
    Microsoft announced broader availability of its Windows ML platform for devices with Windows 11 version 24H2 or later. The idea: improve responsiveness, privacy, and cost by running inference locally (on CPU/GPU/NPU) rather than depending purely on cloud compute. Applications like Adobe (scene detection etc.), security (deepfake detection) and image editing are being adapted to use this. The Verge

  4. Salesforce Agentforce for public sector
    A new AI agent platform (“Agentforce”) launched by Salesforce specifically targeting public sector / government‑citizen interaction: unified profiles, answering citizen queries, awareness of welfare schemes etc. The Times of India

  5. Huge investment wave into AI coding tools
    AI startups in the code generation / coding assistance space have raised ~$7.5 billion recently. Some especially large rounds (e.g. companies like Factory, Replit) and interest from big VC firms. The sector is heating up as automation in programming becomes more capable. Financial Times

  6. UAE‑Nvidia joint AI & robotics lab
    In Middle East, a new AI & robotics research center in Abu Dhabi with Nvidia. They will build hardware + software for robots (humanoids, etc.), using Nvidia’s Thor chip. This is part of broader push by UAE to be a global AI research hub. Reuters

⚙️ Trends & Implications

  • Move toward more capable robotics: AI models are crossing from purely digital tasks into physical world actions — planning, reasoning, adapting in robotics. This opens many applications but has challenges (safety, robustness).

  • On‑device inference & privacy: Running AI locally helps with latency, reduces dependency on cloud, and improves privacy.

  • Enterprise integration: Rather than standalone models, there’s a trend toward embedding AI agents into enterprise tools and workflows (customizable, working with private data).

  • Public sector / Governance: Governments are starting to deploy or plan AI agents for citizen services. Also skill policies are being updated to include AI/digital tech in training (e.g. some Indian state policies). The Economic Times

  • Sustainability & efficiency concerns: As models grow bigger, more energy, compute, hardware investments are involved. There is rising attention on how to make AI infrastructure efficient.

  • Investment & competition rising sharply, especially in coding tools / developer tools. More money entering, more players competing, especially newer startups vs big tech.

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