These third-party projects greatly expand the ways agents and LLMs can draw on facts, documents, and conversations to deliver ...
STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...
Alibaba's SkillWeaver framework routes AI agents through massive tool libraries with 99% less token consumption. Here's how ...
New benchmarks show semantic code graphs helping coding agents find change locations faster and complete updates more ...
Best in Class Multi-agent AI Assistant Delivers Robust Offerings for Game Developers and up to 2X Increased Speed and ...
Entering 2026, the discussion around AI agents has clearly moved to the next stage. At first, it was about 'how to write prompts.' Next, 'how to pass context,' or Context Engineering, became the topic ...
Microsoft says that an ongoing Universal Print sharing issue that prevents users from creating some printer shares is due to a Microsoft Graph API code change. Universal Print is a cloud-based print ...
TOKYO, JAPAN - FEBRUARY 3: Staff members prepare a talk session by SoftBank Group CEO Masayoshi Son and Open AI CEO Sam Altman during an event titled "Transforming Business through AI" in Tokyo, Japan ...
Such conversion increases inference speed by 30% with compared with pure PyTorch model with cached past-key-value. It allows you to generate a full sequence in one call via your favorite runtime or ...
Graphpaper and LOOPWHEELER have dropped their latest collaborative capsule on February 21 The collection features the new “Easy Wide Sweat Pants” alongside updated hoodies and raglan sweatshirts Items ...
Abstract: Graph heterophily poses a formidable challenge to the performance of Message-passing Graph Neural Networks (MP-GNNs). The familiar low-pass filters like Graph Convolutional Networks (GCNs) ...
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