Apple's lawsuit against OpenAI highlights the fragility of tech partnerships and the critical need to protect intellectual property and employee insights, as once-allied giants now face off legally ov…
A large-scale evaluation of uncertainty estimation across 22 languages using two human-curated Q&A datasets and nine methods found that prompting models to reason in English, even for low-resource lan…
LLMbda, a new framework based on untyped call-by-value lambda calculus, introduces a provenance-based approach to defend AI agents against prompt injection attacks. In tests on the AgentDojo banking b…
Waze is integrating Google's Gemini AI assistant into its navigation app to enable voice-based traffic reporting and destination search, aiming to reduce distracted driving. The conversational reporti…
Meta's $201 billion revenue in 2025 is overshadowed by reports that its Instagram ad system in India inadvertently approved ads containing child sexual abuse material, highlighting a tension between p…
AI's true value emerges only when organizations scrutinize, analyze, and act on its processes, not from mere potential, according to an analysis of AI decision-making. Inaction risks stagnation in a r…
AI is creating a dual reality for older workers, either making their roles more efficient or pushing them into early retirement, according to recent research. In industries like manufacturing, logisti…
Researchers are using neural networks to estimate measurement-induced entanglement (MIE) in quantum systems, revealing a learnability transition that marks the boundary between classically feasible an…
AI agents are complicating zero trust security models by acting as autonomous decision-makers, creating a verification dilemma where traditional authentication and endpoint verification fall short. Th…
AI reliability depends on clear specifications and rigorous verification, according to an unnamed expert. Without these foundations, AI models risk producing unpredictable outputs, especially as they …
AI adoption is forcing software companies to rethink their foundational architecture, according to Forbes Councils Member Andrew Avanessian. Many organizations still operate on outdated assumptions fr…
A German research consortium released Soofi S 30B-A3B, an open language model trained on Deutsche Telekom's cloud infrastructure in Munich. The model uses a hybrid architecture that activates only a f…
A new AI-driven framework using a Transformer-empowered actor-critic design promises to revolutionize Virtualized Network Function management for 6G networks, outperforming existing solutions in servi…
A self-evolving agentic framework for metasurface inverse design raised task success rates from 38% to 74% on a multi-type benchmark, according to researchers. The system combines a coding agent with …
A new framework called BREW (Bootstrapping expeRientially-learned Environmental knoWledge) enables LLM agents to retain and use experience-based knowledge, improving task success rates by 10-20% and r…
QAgent, a novel autonomous multi-agent framework for OpenQASM code generation, achieves a 47-70% improvement in Pass@1 accuracy on single-kernel tasks and over 88% accuracy on multi-kernel workflows a…
The PAC-ACT framework enhances industrial robot precision by optimizing action-chunking policies, reducing latency, and cutting memory costs. On the Contour task, peak contact force above 60 N decreas…
A new universal approximation theorem leveraging Leray-Schauder mappings and orthogonal projections in Banach spaces could reshape operator learning, providing a theoretical foundation for deep learni…
A new training-free approach called TCLA (Training-Free Class-Level Adaptation) enhances medical vision-language models' performance on out-of-distribution data by correcting inference logits with a f…
A new study reveals that the true energy burden of Vision-Language Models lies not in visual processing but in the generation of output tokens, with each output token consuming 11 to 39 times more wal…