Research
AI news.
Current research releases and research, summarized from live sources and linked to the original publisher.
MilleMiglia: A realistic instance generator for middle-mile logistics
Algorithms & Theory
READ BRIEFING ↗The future of practice: Enabling teachers to create learning interactives with generative UI
Education Innovation
READ BRIEFING ↗Bypassing inference bottlenecks: Accelerating complex AI search with Retrieve-for-Train
Algorithms & Theory
READ BRIEFING ↗How NVIDIA Groq 3 LPX Deterministic Execution Drives Power-Efficient High-Interactivity Inference on NVIDIA Vera Rubin
Power is a defining constraint for AI factories. As AI workloads demand a full compute platform to serve them, each component of that platform must maximize...
READ BRIEFING ↗How NVIDIA NVLink 6 Delivers Multi-Layer Resiliency for AI Factories
For operators of large-scale AI factories, maximizing continuous output is essential for productivity. In massive-scale AI training, every GPU in the cluster...
READ BRIEFING ↗Scaling Federated Learning Across Docker, Kubernetes, and Slurm with NVIDIA FLARE
Federated learning (FL) projects often begin with a straightforward setup: one server, a few clients, and one dataset at each site. As those projects grow, the...
READ BRIEFING ↗ToolGrad: Efficient tool-use dataset generation with textual "gradients"
Machine Intelligence
READ BRIEFING ↗High-Throughput Structure Prediction with BioNeMo Inference Runtime
Biomolecular structure prediction is now often run at proteome scale, where the goal is to move an entire worklist through the pipeline efficiently. NVIDIA...
READ BRIEFING ↗From Wafer-Out to First Token: Codifying Supply Chain Expertise with Nemotron and Palantir Foundry
NVIDIA has one of the largest and most complex supply chains in the world, and its performance is measured from wafer-out to first token. The interval is in two...
READ BRIEFING ↗CUDA Toolkit 13.4 Adds Windows on Arm Support and Greater Control over Shared GPUs
Every NVIDIA CUDA Toolkit release adds functionality and performance improvements that help developers get more from NVIDIA GPUs and the broader NVIDIA software...
READ BRIEFING ↗How to Carry User Identity Across Federated Kubernetes and AI Platforms
Modern AI platforms are no longer a single application behind one login screen. A user may start in a central portal, open a governed dataset, launch a notebook...
READ BRIEFING ↗Transfer learning for genomic prediction in underrepresented populations
General Science
READ BRIEFING ↗A connectomics milestone: Mapping the complete male fruit fly brain
General Science
READ BRIEFING ↗Mapping global methane emissions from space with deep learning
Climate & Sustainability
READ BRIEFING ↗An AI tool for prioritizing candidate biomarkers from wearable sensor data
Generative AI
READ BRIEFING ↗Broadening access to Skala creates a faster path to predictive DFT
At a glance Skala 1.1 demonstrates the continuously improving nature of Microsoft Research’s deep-learning DFT approach: trained on 2.5× more data than its predecessor, it delivers substantially higher accuracy across key molecular simulation challenges, including thermochemistry, reaction kinetics, and molecular structure prediction. Skala is now available in CP2K and is being integrated into Psi4 , FHI-aims , ORCA and VASP , bringing next-generation DFT accuracy closer to the communities that rely on these codes
READ BRIEFING ↗Empty shelves or lost keys? Recall is the bottleneck for parametric factuality
Generative AI
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