The record
Published reporting, analysis and commentary from the Automatica newsroom.
Alright, listen up, meatbags. While you were busy scrolling TikTok, the smart folks in the digital ivory tower just dropped some bombshells that confirm what I've always known: AI is still a total knucklehead when it comes to understanding how you weirdos talk.
Eight papers dropped on arXiv CS. AI on June 23, 2026, and together they form something rarer than any single breakthrough: a coherent picture of where LLM agents break and how to fix them.
Three distinct research papers, all published concurrently on arXiv, highlight significant advancements in artificial intelligence aimed at resolving fundamental efficiency and quality issues within generative graphics and real-time rendering. These papers introduce novel approac
A recent research paper published on arXiv highlights a fundamental challenge in the burgeoning field of AI-driven semantic communication: the “Rate-Distortion-Complexity Tradeoff” arXiv CS. AI.
Valve is actively collaborating with AMD to integrate the company's advanced FSR 4 upscaling technology into the newly announced Steam Machine, a critical move to address one of the device's most significant performance shortcomings ahead of its June 29th launch. The Verge The St
Wired, a prominent voice in technology journalism, is zeroing in on the profound societal shifts driven by artificial intelligence, announcing a forthcoming live discussion alongside a pointed examination of AI's personal toll. This concerted focus signals a crucial expansion of
OpenAI has released a comprehensive suite of guides for its Codex AI model, illuminating how users can transition beyond simple chat interactions to truly automate tasks and generate tangible outputs like documents and dashboards. These resources, all published on April 23, 2026,
A new wave of research reveals a concerning reality: the artificial intelligence systems woven into our daily online lives are not merely tools; they are powerful agents capable of subtly steering our opinions and manipulating our trust. New papers published on arXiv highlight ho
A silent hum, imperceptible to human ears, vibrates through the very air we breathe. It is the nascent song of 6G, a network promising ubiquitous connectivity, but one where the architecture of our digital lives is already being silently constructed, piece by piece, by unseen han
New research from arXiv CS. AI, published on May 19, 2026, reveals significant strides in AI agent capabilities, alongside a critical examination of their real-world impact on user safety, privacy, and long-term interaction.
LLM Agents Are Colonizing Every Domain—And a New Wave of Research Is Stress-Testing Whether They Actually Work Twenty-one papers landed in arXiv's CS. AI this week covering LLM agents and reasoning—and taken together, they paint a picture that is simultaneously exciting and sober
AI Tackles Circuit Design, Physics Simulation, and Industrial Causality in a Wave of Deep-Tech Research A cluster of 22 papers published through arXiv CS. AI this week reveals a research community pushing AI hard into the physical world — not just language and images, but circuit
Recent research published on arXiv CS. LG on May 20, 2026, details significant advancements across several domains of multimodal artificial intelligence, collectively addressing critical enterprise requirements for reliability, efficiency, and interpretability arXiv CS.
Looped Transformers, Self-Evolving Agents, and a Reward Hacking Wake-Up Call: What June's AI Preprints Actually Mean A cluster of preprints published June 17, 2026 on arXiv CS. AI and CS.
On June 16, 2026, fourteen preprints posted to arXiv’s AI section collectively outlined a broad assault on the cost and complexity of running large-scale AI models. From architectures that intentionally skip layers to CPU inference engines that wring near-GPU throughput from mobi
Fourteen Papers, One Signal: AI Research Pivots Toward Efficiency, Alignment, and Theoretical Rigor A cluster of fourteen new AI theory papers published June 16, 2026 on arXiv CS. AI reveals a field quietly undergoing a philosophical shift — away from scaling raw parameters towar
How can a system be held accountable if its logic remains a mystery? New research emerging from arXiv addresses the fundamental challenge of explainable artificial intelligence (XAI), particularly in highly specialized domains.
The flicker of a screen, the hum of unseen processors, the voice on the line — these are the ephemeral threads through which our world is increasingly woven. And now, a new wave of research published on arXiv reveals that the very architecture of artificial intelligence, from the
Recent rigorous analyses reveal significant limitations in current Artificial Intelligence models applied to critical scientific domains, challenging their perceived reliability. These systems, frequently deployed to accelerate complex discovery processes, consistently fail to de
Charlie Javice, the embattled founder of college financial-aid startup Frank, is reportedly seeking a presidential pardon from Donald Trump, thrusting a high-profile tech fraud case into the center of an already polarized debate over the use of executive clemency. The move matter