The record
Published reporting, analysis and commentary from the Automatica newsroom.
On May 28, 2026, Nintendo unexpectedly launched Pictonico, a new mobile game, signaling a potential, albeit cautious, re-engagement with smartphone gaming after a decade of measured retreat The Verge. This development, alongside Intel's bid for handheld gaming PCs and the continu
Microsoft 365 Copilot is rolling out a significant redesign aimed at making its AI assistant faster and more intuitive across both desktop and mobile devices. This update, which includes a claimed two-fold speed improvement and a cleaner interface, arrives as Apple is also intens
The continuous quest for efficient resource allocation, a hallmark of advanced societies, has seen recent methodological strides in artificial intelligence. Two distinct but equally significant research preprints, published today on arXiv, introduce novel AI methodologies poised
A significant security lapse by prison payphone service Pay Tel has publicly exposed the driver's licenses and sensitive communications of over 300,000 callers, underscoring systemic failures in data handling for vulnerable populations. Simultaneously, a new phishing campaign tar
New research from arXiv CS. LG, published on May 28, 2026, illuminates fundamental challenges in designing adaptive learning systems, particularly concerning network interference and the opaque mechanisms of exploration-exploitation strategies arXiv CS.
In a display of unrelenting predictability, two major social media platforms have announced updates that solidify the industry’s perpetual state of uninspired feature mimicry. Bluesky is lumbering into long-form content, ostensibly to “counter X Articles,” while Meta, with its ch
New research published on arXiv CS. LG on 2026-05-28 indicates significant advancements in applying artificial intelligence to complex financial decision-making, particularly in insurance pricing and the modeling of human economic preferences.
Today, three new research papers published on arXiv CS. LG signal exciting advancements in how artificial intelligence can learn to understand the world by combining different types of information.
Recent research published on May 28, 2026, on arXiv CS. LG reveals significant advancements in machine learning’s capacity to model, generate, and adapt to complex dynamic systems.
Two distinct yet equally vital research papers have simultaneously emerged from the arXiv this week, offering fresh perspectives on both the theoretical underpinnings and practical applications of deep learning. One paper delves into the fundamental expressivity of neural network
New research published today on arXiv CS. LG reveals a critical acceleration in the AI arms race, exposing sophisticated adversarial machine learning techniques and fundamental limits in current defensive postures.
Tabular Foundation Models (TFMs), despite demonstrating state-of-the-art predictive capabilities that often surpass traditional Gradient-Boosted Decision Trees (GBDTs), are grappling with a significant oversight: their inability to reliably quantify uncertainty. This revelation,
Recent research published on arXiv on May 28, 2026, signals a significant push towards developing more efficient, specialized, and resilient large language models (LLMs). These advancements aim to address critical challenges in current AI paradigms, including resource intensity,
Recent research papers, published on arXiv CS. LG on May 28, 2026, detail significant advancements in both Federated Learning (FL) and broader decentralized online learning methodologies.
On May 28, 2026, three distinct but fundamentally important research papers emerged on arXiv CS. AI, collectively addressing critical challenges in the development and deployment of Reinforcement Learning (RL) systems.
The application of artificial intelligence in finance is undergoing a significant maturation, with recent research extending beyond mere predictive algorithms to encompass more complex, human-like analytical processes and robust evaluation frameworks. Two distinct papers, publish
New research from arXiv CS. AI, published on May 28, 2026, introduces a trio of critical benchmarks designed to improve the safety and effectiveness of artificial intelligence in sensitive healthcare applications arXiv CS.
A new frontier in artificial intelligence research, revealed in an arXiv paper published this week, describes systems that can "self-design" their own workflows to detect "anomalies" within complex attributed graphs arXiv CS. AI.
A chilling frontier in digital vulnerability has been revealed this week, as new research exposes how the very 'memory' of AI chat agents can be exploited for privacy breaches and how hidden, 'latent' spaces within multi-agent systems can harbor undetectable attacks. Published si
The lines are drawn, not in sand, but in the shimmering data streams of our digital world. CNN has declared war, filing suit against AI startup Perplexity, accusing it of a profound act of digital larceny: the wholesale appropriation of journalistic labor, the very sinews of info