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Large language models (LLMs) are accelerating in capability—but their infrastructure is falling behind. Despite massive advances in generative AI, current serving architectures are inefficient at inference time, especially when forced to handle highly asymmetric compute patterns. Disaggregated inference, the separation of input processing and output generation, offers a hardware-aware architecture that can dramatically improve performance, The post Disaggregating LLM Infrastructure: Solving the Hidden Bottleneck in AI Inference appeared first on IEEE Computer Society.

AI copilots help people draft, review, and decide. The payoff appears in the last step: the user interface where a person reads a suggestion and chooses what to do next. When that screen hides uncertainty or punishes exploration, progress slows. When it makes the next good action obvious and safe, teams move faster with fewer The post Copilot Ergonomics: UI Patterns that Reduce Cognitive Load appeared first on IEEE Computer Society.

It’s been nearly 6 months since Google introduced AI search with the promise of taking the legwork out of searching. AI search definitely has the potential to offer us a respite from the downsides of heavily SEO and advertisement-driven search. The specificity of AI functioning should ensure that search results are more relevant. Also, with The post The Myth of AI Neutrality in Search Algorithms appeared first on IEEE Computer Society.

Generative AI has changed how we create and consume information almost overnight. Large Language Models (LLMs) can now draft articles, produce visuals, and simulate voices that feel indistinguishable from reality. It’s dazzling and a little unnerving. The same systems that unlock creativity also blur our sense of what’s genuine. In my work building model-serving infrastructure, The post Gen AI and LLMs: Rebuilding Trust in a Synthetic Information Age appeared first on IEEE Computer Society.

Artificial intelligence is reshaping how financial institutions combat fraud. Instead of relying on static rules, modern systems learn patterns from data in real time, identifying anomalies, preventing false positives, and uncovering organized crime networks. This article explores how AI models from supervised learning to graph neural networks are revolutionizing fraud detection while balancing explainability, privacy, The post How AI Is Transforming Fraud Detection in Financial Transactions appeared first on IEEE Computer Society.

For decades, assistive technology (AT) has bridged gaps, helping people with disabilities read, hear, move, or communicate. From early mechanical aids and prosthetics to digital breakthroughs like cochlear implants and screen readers, these tools expanded human capability – though most provided reactive support, addressing specific barriers without adapting to the user. Today, AI-powered wearables are The post How AI-Powered Wearables Are Redefining Assistive Technology appeared first on IEEE Computer Society.

An Interview with Antonio González, Professor of Computer Architecture at Universitat Politècnica de Catalunya (UPC),  2025 B. Ramakrishna Rau Award Recipient. His groundbreaking work in processor microarchitecture, compiler optimization, and energy-aware computing has shaped the evolution of modern computing systems. As the founder of the ARCO research group and former director of the Intel Barcelona The post Architecting the Future of Energy-Efficient Microprocessors and Reliable Computing Systems appeared first on IEEE Computer Society.

The benefits of STEAM methodology for students abound, from advanced critical thinking and problem-solving skills to the application of abstract mathematical concepts and even frustration management. But STEAM learning can be difficult because it is hard to build STEM hands-on learning opportunities within the confines of a traditional classroom. To introduce a new way to The post IEEE Computer Society Junior Camp: Giving Students and Teachers Hands-On STEAM Experiences appeared first on IEEE Computer Society.

A step by step guide on how to use LLM + GNN duo to get structure in Data Lakes. Data Lake is a centralized storage repository that is used to store raw data from multiple sources in a structured, semi-structured and unstructured format. Imagine a data lake that is full of CSVs, JSON files, logs, The post How To Use AI To Bring Clarity in Chaotic Data Lakes: Schema Discovery with LLMs and GNNs appeared first on IEEE Computer Society.

An interview with John Shalf, recipient of the 2025 Seymour Cray Award. John Shalf is Department Head for Computer Science at Lawrence Berkeley National Laboratory and former Deputy Director for Hardware Technology on the U.S. Exascale Computing Project (ECP), whose leadership has shaped the architectural direction of high-performance computing in the United States. We connected The post Shaping the Future of HPC through Architectural Innovation and Industry Collaboration appeared first on IEEE Computer Society.