Agentic AI promises autonomy, but production systems expose its fragility. Dynatrace’s Perform keynote shows why ...

The good news? This isn’t an AI limitation – it’s a design feature. AI’s flexibility to work across domains only works because it doesn’t come preloaded with assumptions about your specific situation.

International Business Machines Corporation ( IBM) Q4 2025 Earnings Call January 28, 2026 5:00 PM EST ...

DeepMind COO Lila Ibrahim discusses building powerful AI with care, ethics and a long-term focus on human impact.

ai-learning-graph/ ├── learning-graphs/ # YAML files defining concepts and relationships │ ├── 00_graph_meta.yaml # Domain-level structure │ ├── 01_math_foundations.yaml │ ├── 02_deep_learning.yaml │ ...

This is a PyTorch implementation of the GraphCTA algorithm, which tries to address the domain adaptation problem without accessing the labelled source graph. It performs model adaptation and graph ...

Abstract: Feature-based domain adaptation methods project samples from different domains into the same feature space and try to align the distribution of two domains to learn an effective transferable ...

1 Department of Human Development and Family Science, University of Missouri, Missouri, MO, United States 2 Department of Child, Youth and Family Studies, University of Nebraska-Lincoln, Lincoln, NE, ...

Large Language Models (LLMs) have demonstrated remarkable reasoning capabilities across diverse tasks, with Reinforcement Learning (RL) serving as a crucial mechanism for refining their deep thinking ...

Center for Engineering Concepts Development, Department of Mechanical Engineering, University of Maryland, College Park, Maryland 20742, United States ...