Researchers at Chiba University in Japan have developed a new artificial intelligence framework capable of decoding complex brain activity with significantly improved accuracy, marking an important ...
Graph Neural Networks (GNNs) and GraphRAG don’t “reason”—they navigate complex, open-world financial graphs with traceable, multi-hop evidence. Here’s why BFSI leaders should embrace graph-native AI ...
BingoCGN employs cross-partition message quantization to summarize inter-partition message flow, which eliminates the need for irregular off-chip memory access and utilizes a fine-grained structured ...
Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025 ...
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Shortest paths research narrows a 25-year gap in graph algorithms
Most of you have used a navigation app like Google Maps for your travels at some point. These apps rely on algorithms that compute shortest paths through vast networks. Now imagine scaling that task ...
Project Helix's GPU to deliver a massive uplift in performance, will be powered by advanced new ML-based neural chips.
A new study published in the journal Minerals sheds light on this sweeping shift. Titled Big Data and AI in Geoscience: From ...
Microsoft unveils AI-powered DirectX upgrades at GDC 2026, including neural rendering features, new ML tools, and DXR 2.0.
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