Apple’s MacBook Neo (reviewed here) challenges what we expect from budget laptops. Accompanied by shrewd enterprise-focused moves, the new model gives Apple a chance to convert hitherto resistant IT purchasers to adopt its platfo…
Intel’s Core Ultra Series 3 processors with Intel vPro, built for business PCs, are off to a fast start, already powering more than 125 designs including newly-announced systems from Dell and HP, the company said.
Unveiled thi…
Vision-language models (VLMs) use images and text to plan robot actions, but they still struggle to decide what actions to take and where to take them. Most systems split these decisions into two steps: a VLM generates a plan in natural language, and a separate model translates it into executable actions. This approach often breaks […]
The post GroundedPlanBench: Spatially grounded long-horizon task planning for robot manipulation appeared first on Microsoft Research.
Death is always an unpleasant topic, typically ignored until it is fully upon us. But for IT leaders, fraudsters who use fake death documents generated by AI to steal data and commit a wide range of other crimes are simply too da…
Google says its new TurboQuant method could improve how efficiently AI models run by compressing the key-value cache used in LLM inference and supporting more efficient vector search.
In tests on Gemma and Mistral models, the …
arXiv:2603.22593v2 Announce Type: replace-cross
Abstract: Sparse Autoencoders uncover thousands of features in vision models, yet explaining these features without requiring human intervention remains an open challenge. While previous work has propose…
arXiv:2603.14185v3 Announce Type: replace
Abstract: Generative multimodal models can exhibit safety failures that are inherently relational: two benign concepts can become unsafe when linked by a specific action or relation (e.g., child-drinking-wine)…
arXiv:2603.23845v1 Announce Type: new
Abstract: Deep learning and generative models are advancing rapidly, with synthetic data increasingly being integrated into training pipelines for downstream analysis tasks. However, in medical imaging, their adop…
arXiv:2512.18128v3 Announce Type: replace
Abstract: High-resolution mapping of canopy height is essential for forest management and biodiversity monitoring. Although recent studies have led to the advent of deep learning methods using satellite imager…
arXiv:2603.23868v1 Announce Type: new
Abstract: In this paper, we address the challenging problem of single-scene, fully unsupervised video anomaly detection (VAD), where raw videos containing both normal and abnormal events are used directly for trai…