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Tech News Post Archives – IEEE Computer Society Advancing Technology for Humanity

  • Scaling Relational Databases in the Era of Artificial Intelligence—Q&A With Vinodkrishna Gopalan
    by Laurel Tweed on September 4, 2026 at 5:42 pm

    Relational databases are undergoing a profound transformation. Artificial intelligence (AI) and machine learning workloads exhibit access patterns that diverge sharply from traditional online transaction processing (OLTP) approaches. Large scans, unpredictable queries, vector search, low-latency inference, and distributed applications are redefining how teams address schema design, indexing, scaling, and operational strategy. Vinodkrishna Gopalan is a subject-matter The post Scaling Relational Databases in the Era of Artificial Intelligence—Q&A With Vinodkrishna Gopalan appeared first on IEEE Computer Society.

  • How to Train and Retain Top Software Engineering Talent
    by Laurel Tweed on September 1, 2026 at 6:45 pm

    According to Hiring Lab, postings for software engineering jobs have increased by 15% since 2025, and 71% of that increase is aimed at experienced engineers. That is, the very engineers that organizations rely on to oversee AI-assisted software development. In this competitive environment, organizations that fail to offer professional development and clear career pathways risk The post How to Train and Retain Top Software Engineering Talent appeared first on IEEE Computer Society.

  • The Shaw Prize in Computer Science: Nominations Now Open
    by Vanessa Castro on August 31, 2026 at 3:50 pm

    This year marks a historic moment for the computer science community. For the first time, the Shaw Prize added a new prize in Computer Science, in addition to its existing three prize categories. As the nomination period begins, you are encouraged to consider the individuals whose achievements exemplify the innovation and rigour that define the The post The Shaw Prize in Computer Science: Nominations Now Open appeared first on IEEE Computer Society.

  • Why Intelligent AI Agents Fail and How to Close the Data Foundation Gap
    by Laurel Tweed on August 27, 2026 at 6:21 pm

    Most enterprise artificial intelligence (AI) agent pilots fail, not because of the model, but because of the data substrate beneath them. Schemas drift, identity is fragmented across software as a service (SaaS) silos, unstructured content remains unindexed, and access policies don’t propagate to the runtime (Figure 1). Figure 1: The data foundation gap illustrates why The post Why Intelligent AI Agents Fail and How to Close the Data Foundation Gap appeared first on IEEE Computer Society.

  • Episode 10 | From Student to Region 6 Director: An IEEE Journey
    by Vanessa Castro on August 27, 2026 at 5:50 pm

    Navigating a career in technology requires more than just mastering technical frameworks. It demands an understanding of how interconnected global networks, professional communities, and leadership ecosystems drive large-scale impact. In Episode 10 of InfiLab, host Sowmya Chintakindi sits down with the IEEE Region 6 Director to dissect a remarkable trajectory from student member to high-level The post Episode 10 | From Student to Region 6 Director: An IEEE Journey appeared first on IEEE Computer Society.

  • 2026 Apex Award Wins for Computer and Software Magazines
    by Laurel Tweed on August 26, 2026 at 5:19 pm

    Computer and Software magazines have won Publication Excellence awards from APEX, a leading annual competition for communications and publishers. The IEEE team is incredibly honored and excited to continue our mission of keeping IEEE members informed on major trends and developments in technology, engineering, and science. The distinguished APEX Awards recognized two standout issues from The post 2026 Apex Award Wins for Computer and Software Magazines appeared first on IEEE Computer Society.

  • IEEE Computer Society Establishes Two New Endowed Awards to Honor Achievement in Artificial Intelligence
    by Jasmine Ang on August 26, 2026 at 4:00 pm

    LOS ALAMITOS, Calif., 26 August 2026 – The IEEE Computer Society announces the establishment of two new awards recognizing outstanding achievement in artificial intelligence: the IEEE Computer Society Artificial Intelligence Innovator Award and the IEEE Computer Society Artificial Intelligence Rising Stars Award. Both awards will be administered by the IEEE Computer Society and are supported The post IEEE Computer Society Establishes Two New Endowed Awards to Honor Achievement in Artificial Intelligence appeared first on IEEE Computer Society.

  • IEEE Computer Society Names 2026 Career Catalyst Scholarship Recipients
    by Jasmine Ang on August 21, 2026 at 9:39 pm

    LOS ALAMITOS, Calif., 21 August 2026 – The IEEE Computer Society (CS) is pleased to announce the winners of the 2026 Career Catalyst Scholarship. A panel of industry judges decided the winners based on a combination of academic performance; technical skills and experience; leadership and extracurriculars; statement of purpose; industry readiness and professionalism; and letters The post IEEE Computer Society Names 2026 Career Catalyst Scholarship Recipients appeared first on IEEE Computer Society.

  • How Big Data Platforms Are Enabling Autonomous Governance for Enterprise AI
    by Vanessa Castro on August 20, 2026 at 3:31 pm

    As enterprise artificial intelligence (AI) initiatives expand, organizations are increasingly relying on cloud-native big-data platforms to support real-time analytics, distributed AI workloads, and massive volumes of structured and unstructured data. These modern architectures provide the scalability and flexibility needed for enterprise AI, but they also create new governance challenges. Data moves continuously across operational systems, The post How Big Data Platforms Are Enabling Autonomous Governance for Enterprise AI appeared first on IEEE Computer Society.

  • LiteLLM as a Control Plane for Scalable Intelligent Document Processing
    by Vanessa Castro on August 19, 2026 at 3:05 pm

    Abstract— Intelligent Document Processing (IDP) systems leveraging Large Language Models (LLMs) frequently demonstrate impressive extraction accuracy in prototype environments, yet encounter significant operational failures when deployed at scale. These failures are rarely attributable to extraction capability itself; rather, they stem from systemic production concerns including API rate limiting, unpredictable cost escalation, inconsistent output schemas across The post LiteLLM as a Control Plane for Scalable Intelligent Document Processing appeared first on IEEE Computer Society.

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