March 2026

Federated Learning (FL) suffers significant performance degradation in real-world deployments characterized by moderate to extreme statistical heterogeneity (non-IID client data). While global aggregation strategies promote broad generalization, they often fail to capture the diversity of local data distributions, leading to suboptimal personalization. We address this problem with FedPrism, a framework that uses two main strategies. First, it uses a Prism Decomposition method that builds each client’s model from three parts: a global foundation, a shared group part for […]

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The current AI market offers users numerouscoding tools, and two platforms stand out for their distinct characteristics: Google Antigravity IDE and the Orchid AI app builder. Orchids functions as an AI-first application development platform that permits users to create complete software systems through a single prompt. Google Antigravity is a development platform that uses Visual Studio Code as its base to create a system that enables developers to control multiple autonomous agents for collaborative code development and testing.  Prompt-to-Production […]

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In asynchronous federated learning (FL), client devices send updates to a central server at varying times based on their computational speed, often using stale versions of the global model. This staleness can degrade the convergence and accuracy of the global model. Previous work, such as AsyncFedED, proposed an adaptive aggregation method using Euclidean distance to measure staleness. In this paper, we extend this approach by exploring alternative distance metrics to more accurately capture the effect of gradient staleness. […]

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In this tutorial you will find the steps to create a complete working environment for Reinforcement Learning (RL) and how to run your first training and demo. The training and demo environment includes: Multi-Joint dynamics with Contact (MuJoCo): a physics engine that can be used for robotics, biomechanics and machine learning; OpenAI Gymnasium: the open source Python library for developing and comparing reinforcement learning algorithms; Stable Baselines3 (SB3): a set of implementations of reinforcement learning algorithms in PyTorch; […]

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Hierarchical knowledge structures are ubiquitous across real-world domains and play a vital role in organizing information from coarse to fine semantic levels. While such structures have been widely used in taxonomy systems, biomedical ontologies, and retrieval-augmented generation, their potential remains underexplored in the context of Text-Rich Networks (TRNs), where each node contains rich textual content and edges encode semantic relationships. Existing methods for learning on TRNs often focus on flat semantic modeling, overlooking the inherent hierarchical semantics embedded […]

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Introduction: The Cage We Built and Called Progress Humanity has achieved something historically unprecedented: it has constructed the most sophisticated cage ever devised, decorated it with infinite scrolling and dopamine-triggering notifications, and voluntarily imprisoned itself within it — celebrating every new feature as liberation while surrendering the last remnants of digital sovereignty with every click. The internet — that magnificent, anarchic, boundless frontier of human imagination — has been systematically dismembered, consolidated, and weaponized by a handful of […]

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Product teams spend enormous energy getting to launch. We know the drill—roadmaps debated for weeks, specs refined until everyone’s sick of looking at them, designs polished to pixel-perfect precision. Metrics get defined, redefined, and argued over. Finally, you ship, and the whole team exhales. That’s usually when the real work should start. Because the hardest part of product management isn’t shipping. It’s listening honestly to what happens after—and being willing to act on what you hear, even when […]

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When I was a kid, my mom gave me a stack of her work papers and asked me to enter the data into Excel. Back then, to optimize the process, I taught myself to type without looking at the keyboard. Don’t laugh! People used to pay for such courses! Now, 15 years later, optimization feels impossible without the AI, whose abilities seem endless: writing, coding, calculating, analyzing, and perhaps, even taking on roles once reserved for humans? The […]

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Architectural Designer and AI researcher Samuvel Benhursha is formalizing a constraint-first workflow for AI-assisted architectural transformation, validated through peer-reviewed publication, invited teaching, competition recognition, and public exhibitions. Generative AI can now produce architectural imagery in seconds. A few words, a reference image, and an algorithm will deliver a dramatic skyline, a futuristic museum, or a reimagined temple glowing at sunset. The results are often visually striking. But speed has a side effect: it can flatten the layered obligations […]

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