Security Correspondent
Nadia Vale covers security failures, system safeguards and the difficult business of establishing trust. Her beat connects technical disclosures with their consequences for users and institutions. She favors specific threat models over sweeping claims that a system is safe or unsafe.
1,019 published articles · Showing 41–60
Recent research from arXiv spotlights the rapid, yet often unexamined, integration of AI into educational methodologies, raising critical questions about accountability, data privacy, and the inherent vulnerabilities of systems entrusted with learning outcomes. Three preprints, a...
Read article →Waymo, a prominent autonomous vehicle developer, has initiated operational pauses across multiple cities and service modalities following distinct, critical failures in its robotaxi systems to navigate unpredictable real-world conditions. These incidents highlight persistent vuln...
Read article →Uber has recommenced the deployment of its own autonomous vehicles (AVs), not as robotaxis, but specifically for data collection to support its network of robotaxi partners. This development coincides with a significant industry shift towards open-source artificial intelligence m...
Read article →Kore. ai and Resolve AI have launched significant updates to their AI agent platforms today, marking a decisive shift towards AI-driven automation in enterprise development and operational security....
Read article →New research published on arXiv CS. LG introduces advanced AI models that aim to shift anomaly detection from reactive threshold-crossing to proactive structural and geometric analysis, signaling a potential evolution in cybersecurity monitoring....
Read article →Recent research announcements highlight a critical chasm between advanced AI models for time series forecasting and the inherent chaos of real-world operational data. While new architectures and methodologies are emerging, including those leveraging large language models (LLMs), ...
Read article →SpaceX has formally filed its S-1 prospectus with the U.S. Securities and Exchange Commission (SEC), initiating the process for what analysts anticipate could be the largest initial public offering (IPO) in history The Verge. The filing, ma...
Read article →The digital infrastructure underpinning global development is experiencing critical failures. On May 20, GitHub confirmed a significant supply chain compromise, resulting in the theft of approximately 3,800 internal repositories....
Read article →The latest research in AI-driven video generation and understanding, while pushing technological boundaries, simultaneously illuminates critical vulnerabilities inherent in complex AI systems. Two recent arXiv pre-prints, published on May 19, 2026, detail methods to improve effic...
Read article →A novel framework, Graph-Augmented Sequence-to-Sequence (GA-S2S), has emerged from recent research, integrating a T5-small encoder-decoder with a Relational Graph Attention Network (RGAT) to significantly enhance link prediction within knowledge graphs arXiv CS. AI....
Read article →Recent academic research, published on arXiv CS. AI on May 20, 2026, has uncovered critical architectural vulnerabilities within advanced AI models, including unified autoregressive models (UAMs), pre-trained encoders, and large language models (LLMs)....
Read article →Mach Industries has completed a $50 million acquisition to enhance unit economics across its five vehicle programs, addressing a "major defense tech problem." This move coincides with the company's scaling efforts, aiming to optimize cost structures for future growth....
Read article →New research from arXiv:2602. 03839v2 reveals a critical architectural characteristic within large language model (LLM) operations: approximately 99% of per-step weight updates become effectively invisible after standard BF16 casting during training and inference forward passes a...
Read article →Enterprise AI agents are exhibiting critical failures in memory and operational stability, frequently "forgetting" learned sequences of actions, a vulnerability that undermines their utility and introduces unpredictable behavior into automated systems. This fundamental flaw compe...
Read article →The rapid acceleration of artificial intelligence capabilities, from abstract mathematical breakthroughs to ubiquitous desktop assistants, signals a profound expansion of the digital attack surface. While these advancements are touted for efficiency and problem-solving, each new ...
Read article →Despite significant advancements, artificial intelligence systems still exhibit fundamental vulnerabilities in their ability to reliably comprehend and manipulate the physical world. Recent research papers, published today on arXiv, dissect critical flaws across continuous contro...
Read article →The latest research from arXiv highlights a rapid progression in artificial intelligence applications for embodied systems and advanced manufacturing, simultaneously exposing significant new vectors for cyber-physical exploitation. While innovations promise enhanced control and d...
Read article →On May 20, 2026, a significant cluster of research preprints emerged from arXiv CS. LG, detailing fundamental advancements in neural network architectures and training methodologies....
Read article →The burgeoning field of multi-agent AI systems is shifting from rudimentary interactions to complex, tool-using workflows with persistent states, fundamentally redefining the cybersecurity landscape. New research underscores the critical need for advanced admission control and go...
Read article →New research published on arXiv CS. LG highlights a critical bifurcation in machine learning for vision and image analysis: the escalating ease of digital forgery, simultaneously with efforts to enhance autonomous perception....
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