Asian chip stocks tumbled on Tuesday, with South Korea's Kospi falling as much as 11% and Samsung Electronics and SK Hynix losing up to 13% and 14%, respectively, as investors pulled back from AI trad…
Nvidia Corp. is backing a $50bn lease on a Texas data centre that will use its chips, deploying its balance sheet to support the growth of the AI computing market, according to the Financial Times. CE…
EchoBridge, a new model for aligning ECG and echocardiography data, improves classifier-free AUROC, AUPRC, and F1 by 7.88, 5.61, and 4.54 points over baselines, according to a preprint on arXiv. The m…
A new study from arXiv proposes BettiSafe, a topology-guided split selection strategy for privacy-aware split learning that improves resistance to feature inversion attacks by 2 to 5 times compared to…
Researchers propose CausAdv, a causal framework for detecting adversarial examples in convolutional neural networks (CNNs) by learning causal and non-causal features and quantifying counterfactual inf…
Researchers introduce EgoPlay, an event-triggered video-to-video editor for egocentric streams that jointly learns event recognition, temporal restraint, and pixel-level editing in a single end-to-end…
A new approach to Hardware Trojan detection uses And-Inverter Graphs (AIGs) and Knowledge Graph Embedding (KGE) to scale to modern System-on-Chips with billions of gates, achieving linear complexity a…
Researchers introduced KANEx, the first framework leveraging Kolmogorov-Arnold Networks (KANs) to ground Vision-Language Model (VLM) reasoning for medical explainability, achieving a 10% improvement i…
A new framework called Cloud Decoy AI Agent pairs high-fidelity cloud decoys with autonomous language model agents to compress intrusion investigation from suspicious activity to analyst-ready reports…
Researchers propose MXAttention, a data-free post-training quantization framework for MXFP4 attention that introduces Universal Optimal Scaling (UOS) with a distribution-independent optimal scaling bo…
A new hybrid model called MTSF-ANO, integrating variational quantum circuits with adaptive non-local observables, ranks first or second in mean squared error in 17 of 20 settings on the four ETT datas…
Researchers propose DraftExpert, an expansion-aware self-speculative decoding framework for expert-offloaded Mixture-of-Experts (MoE) inference on end devices, achieving 1.45x average decode throughpu…
Researchers propose UNIFUSION, a continual pre-training approach that adapts pretrained autoregressive language models (e.g., GPT-2) to uniform-noise discrete diffusion under a unified reverse-rate ob…
Researchers propose CADER (Confidence-Aware Dynamic Evidence Reasoning), a training-free framework for adaptive long-video reasoning that uses a logit-margin signal to let high-confidence examples exi…
LOCKS, a new method from arXiv, enables efficient long-context decoding by giving each page of the key-value cache its own compact spectral summary, reconstructing within-page logits, and attending on…
A new multi-agent lane change decision model using the QMIX framework with a convolutional neural network (CNN-QMIX) can increase cooperative platooning rates by up to 26.2% for connected automated ve…
A new study from arXiv finds that chain-of-thought (CoT) prompting improves large language model performance primarily through local word co-occurrence activation rather than global reasoning order. R…
Researchers introduced PeopleSearchBench, an open-source benchmark for evaluating AI-powered people search platforms, and found that Lessie, a specialized AI people search agent, scored 65.2 overall, …
Researchers propose Evo-DKD, a dual-decoder framework that enables large language models to autonomously evolve ontologies by combining structured ontology traversal with unstructured text reasoning. …
Researchers propose TableMind, a tuning-based autonomous programmatic table agent that simulates human-like multi-turn interaction within a lightweight large language model, outperforming previous bas…