IIT Kharagpur Launches New School for Applied AI to Boost Industry Innovation
The Indian Institute of Technology (IIT) Kharagpur has announced the launch of its new School of Digital Engineering, Applied Artificial Intelligence, and Machine Learning. This new school is designed to be a premier hub for research and innovation, with a strong focus on industry integration to promote the real-world application of AI technologies. According to the institution’s director, Suman Chakraborty, this initiative represents a significant shift in institutionalizing applied AI. The ultimate goal is to position IIT Kharagpur as a leading global center for developing responsible and sovereign AI for key sectors like healthcare and manufacturing.
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AI Giants Shift Focus to Practicality: OpenAI and Google Release New, Efficient Models
The artificial intelligence industry is pivoting towards product quality and developer economics, a trend highlighted by recent model releases from major tech companies. OpenAI has updated ChatGPT to use GPT-5.3 Instant as its default model, aiming to provide a superior conversational experience with fewer errors and better context management. This move underscores the critical role of the default user experience in shaping mainstream AI perception. Similarly, Google has introduced Gemini 3.1 Flash-Lite, a faster and more cost-effective model optimized for high-volume, production-level tasks where efficiency and speed are crucial. These developments signal a broader trend of refining existing AI technologies for practical, everyday applications over chasing benchmark records.
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Serve Robotics to Showcase AI-Powered Delivery Robots at SXSW and NVIDIA GTC
Serve Robotics has confirmed its participation in major technology and innovation conferences, including SXSW, NVIDIA GTC, and HumanX, scheduled for March and April 2026. The company plans to feature its autonomous delivery robots and their advanced AI-driven capabilities through live demonstrations and speaking sessions. At these events, Serve executives will delve into the technical details of their machine vision, autonomy systems, and strategies for scaling their robotic solutions. To date, the company has successfully deployed over 2,000 sidewalk delivery robots across the United States for partners such as Uber Eats and DoorDash.
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Google Integrates Intrinsic to Accelerate ‘Physical AI’ and Create an ‘Android for Robotics’
Google is integrating the robotics software company Intrinsic into its core business to accelerate the development of ‘physical AI’. This strategic move is intended to create a unified platform, envisioned as an ‘Android for Robotics,’ which will democratize access to advanced robotics technology. Intrinsic has been focused on developing a platform that simplifies the programming and operation of industrial robots. By merging Intrinsic’s expertise with its own, Google aims to leverage its deep AI capabilities to enhance the functionality of robots in manufacturing and other key industries.
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The Great Migration: Why AI Platforms are Standardizing on Kubernetes
A significant trend is emerging across the technology landscape as a growing number of AI platforms standardize their infrastructure on Kubernetes. This migration is fueled by the demand for a consistent, scalable, and portable foundation to manage the complex and resource-intensive workloads inherent in artificial intelligence and machine learning. Kubernetes offers the portability, scalability, and robust ecosystem necessary for deploying and managing AI applications effectively across diverse cloud and on-premise environments. This convergence underscores the critical role of cloud-native technologies in building the next generation of AI-powered services.
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Quantum Computing Breakthrough: Researchers Discover Potential ‘Holy Grail’ in Triplet Superconductors
Researchers may be on the brink of a major breakthrough in quantum computing with the potential observation of a ’triplet superconductor.’ This rare class of material, considered a key missing component in solid-state physics, could revolutionize the field. The material, NbRe, has the potential to transport not only electrical charge but also electron spin with zero resistance. This unique property could pave the way for extremely fast and energy-efficient computers, as transmitting information via spin without energy loss would be a major advancement for quantum technology. While still requiring cryogenic temperatures of 7 Kelvin, this is significantly more practical than other candidates that need temperatures closer to 1 Kelvin. Confirming a true triplet superconductor could dramatically accelerate the future of quantum computing.
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Apache Software Foundation Promotes Gluten and Polaris to Top-Level Projects
The Apache Software Foundation (ASF) has announced the graduation of Apache Gluten and Apache Polaris to Top-Level Projects (TLPs). This status signifies the maturity of their technology and community development. Apache Gluten is an open-source plugin that accelerates Apache Spark SQL and DataFrame workloads by offloading compute-intensive tasks from the JVM to high-performance native engines like Velox or ClickHouse. Apache Polaris functions as a comprehensive, open-source catalog for Apache Iceberg, implementing Iceberg’s REST API to ensure interoperability across platforms like Apache Flink, Apache Spark, and Trino.
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Pentagon to Release Open-Source 5G/6G Software Stack to Drive Innovation
The Pentagon’s FutureG office is preparing to publish the first version of its Open Centralized Unit Distributed Unit (OCUDU) radio access network project on GitHub in April. This initiative will deliver an open-source software stack for military and commercial users to develop custom network solutions for 5G and future 6G networks. The primary goal is to diversify and accelerate innovation in wireless communications. The Linux Foundation will oversee the software and has established the OCUDU Ecosystem Foundation, which includes 47 founding members such as Ericsson, Nokia, Verizon, and NVIDIA, to guide its development.
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Amazon EKS Node Monitoring Agent Goes Open Source on GitHub
The Amazon EKS Node Monitoring Agent is now an open-source project, with its complete source code available on GitHub. This agent is engineered to automatically monitor, detect, and report node-level issues related to systems, storage, networking, and accelerators within Amazon EKS clusters. By open-sourcing the agent, Amazon Web Services (AWS) offers users full visibility into its implementation, enabling customization and fostering community contributions. The agent simplifies cluster administration by automating problem detection and enabling automatic node repair, thereby enhancing the reliability of Kubernetes workloads.
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