Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...
Scientists tracked 14 elite endurance athletes for a year and found a metabolic ceiling: no one sustained more than 2.5× ...
Evaluating the advantages and potential drawbacks of shielding as a method for safe RL. Bettina Könighofer is an assistant ...
Most organizations rely on traditional last-touch attribution, a simple model that assigns 100% credit to the last engagement ...
OpenAI and AMD have launched a multi-year, multi-generation partnership to deploy 6 GW of GPU compute, beginning with a 1 GW ...
Abstract: Document-level biomedical relation extraction (Bio-DocRE) involves identifying relations between entities distributed across multiple sentences in biomedical literature. Most existing ...
KillChainGraph predicts attack sequences using machine learning. Rather than just flagging individual suspicious events, it ...
Discusses ESMO Data on TGF-beta Receptor by PD-1 Bispecific in Colorectal Cancer and G12D Inhibitor in Pancreatic ...
Trump's threatened to increase tariffs on Chinese imports 100% if no agreement. Officials in the province of Ontario have said the ad, which protests President Donald Trump's tariff policy, will be ...
Multi-modal Graph Convolution Network is a novel multi-modal recommendation framework based on graph convolutional networks, explicitly modeling modal-specific user preferences to enhance micro-video ...
Salesforce adds agentic AI, Otter expands reach, Gemini’s security risk | Ep. 5 In today’s 2-Minute Tech Briefing, Salesforce launches Agentforce IT Service to automate IT support with agentic AI, ...