Tech companies are missing market expectations due to a slowdown in customer spending on AI infrastructure, reflecting deeper economic challenges in scaling AI models. The volatile GPU supply chain, p…
Volvo AB's autonomous trucks aim to slash per-mile costs to $1.35 from the current $11.35, achieving capital recovery within 18 months. The Swedish manufacturer promises over 80% reduction in operatio…
OpenAI has reinstated ChatGPT on WhatsApp exclusively for users in the European Economic Area, a move driven by new EU regulations requiring Meta to open its platform to competing AI technologies. The…
Companies are learning that deploying AI technology is only part of the challenge, according to Madhavi Rajan in Forbes. The article argues that businesses must develop specific AI-driven business mod…
Q-Score, a new molecular docking method using Graph Neural Networks and quantum optimization, outperforms classical scoring functions by predicting orbital donor-acceptor energies and solving a maximu…
Graph Neural Networks (GNNs) are redefining RFID localization by focusing on relationships between data points rather than just coordinates, according to a new analysis. This graph-based approach inte…
New research introduces a nonparametric Bayesian method for inverse reinforcement learning that handles diverse expert inputs by using a Dirichlet Process prior over reward functions. The approach ach…
EvoClawBench, a new benchmark testing whether AI agents can learn reusable skills from experience, shows mixed results across 100 tasks and 502 sub-problems. Nanobot's GPT-5.4 model consistently excee…
A study using log data from Japanese junior high students using a grammar app found that AI-generated English learning content can improve performance, with multiple-choice questions requiring the lea…
Researchers introduced MCLASH, a multilingual benchmark for culturally sensitive AI moral decision-making, along with MET and MET-D methods to improve cultural reasoning. MET-D, a self-distillation tr…
TreeThink, a new open-source Python library for neural theorem proving, offers modular asynchronous tree search with native integration for formal verifiers in Lean 4, Rocq, and Isabelle/HOL, achievin…
A study analyzing 1,117 COVID-19 treatment articles found that Retrieval-Augmented Generation (RAG) systems can amplify ideological biases in large language model outputs, with the strongest bias tran…
A new benchmark called QIMG-7 reveals that multimodal retrieval-augmented generation systems suffer significant accuracy drops when faced with polluted data, with the GPT-4o-mini stack falling from 0.…
Researchers introduced destroR, a pipeline with three attack strategies—paraphrase, back-translation, and one-hot word-swap—that revealed Bangla sentiment classifiers are vulnerable to adversarial att…
LLM watermarking is emerging as a critical technology for ensuring transparency and accountability in AI-generated content, addressing provenance ambiguity and content laundering risks. The field face…
A new method called UMoE realigns Mixture-of-Experts (MoE) models to enhance domain-specific performance without increasing expert count, parameters, or inference cost. Across Qwen3-30B-A3B and Qwen3.…
ResearchQA, a new benchmark for citation-grounded AI, evaluates whether AI-generated answers are backed by verifiable sources using a dataset of 6,211 question-answering pairs from 494 open-access pap…
China's NLP community is preparing for the first ChineseBabyLM challenge in 2026 at the NLPCC conference, tasking researchers with building language models using 100 million Chinese tokens across thre…
RegCheck, an AI-enhanced tool integrating large language models, aims to improve scientific transparency by automatically verifying consistency between study registrations and published papers, genera…
Researchers are shifting AI video detection from pixel-level artifact analysis to high-level factual fidelity verification, driven by the increasing realism of AI-generated content (AIGC-V). A new tax…