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Articles récents
- End-to-End Podcast Generation Using OpenNotebook on Intel® Xeon®: A Practical Guide
- ExecuTorch with OpenVINO Backend in 2026: New Capabilities and Updates
- Gemma 4 Models optimized for Intel Hardware: Enabling instant deployment from day zero
- Why Planning is the Most Crucial Step for Enterprise AI Readiness
- Saturate your Tensor Cores: Intel at NVIDIA GTC 2026
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Archives de catégorie : Non classé
Kid Space: Re-imagining the Potential of Technology-Mediated Learning
Kid Space incorporates audio and vision hardware components and AI technologies to create an adaptive and engaging learning environment.
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Intent Prediction Improves Human-robot Collaboration Task Fluency
Intel Labs will present the paper “Intuitive & Efficient Human-Robot Collaboration via Real-time Approximate Bayesian Inference” at IROS 2022 in Kyoto.
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Distributed Large-Scale Graph Training on Intel CPUs Presented at MLSys 2022
We present our open sourced Sequential Aggregation and Rematerialization (SAR) scheme, which achieves impressive results on common graph learning benchmarks in terms of speed and memory efficiency.
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Beyond Input-Output Reasoning: Four Key Properties of Cognitive AI
Published August 16, 2022 Image credit: James Thew via Adobe Stock. Gadi Singer is Vice President and Director of Emergent AI Research at Intel Labs leading the development of the third wave of AI capabilities. The Necessity of World Model, … Continuer la lecture
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VL-InterpreT: An Interactive Visualization Tool for Interpreting Vision-Language Transformers
We developed VL-InterpreT, an interactive tool that provides novel visualizations and analysis for interpreting the attentions and hidden representations in multimodal transformers. Our paper on VL-InterpreT won the Best Demo Award at CVPR 2022.
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A Guide to AI Partner and Accelerator Programs for Startups
What to look for in AI Partner and Accelerator Programs for Startups and Collaborating with Intel on AI
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Enabling AI Developers on Their Journey to Scale with Intel AI
Overview and link to Ramtin Davanlou, from Accenture* presentation at the oneAPI DevSummit for AI.
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Multimodality: A New Frontier in Cognitive AI
In this blog, we will introduce the concept of multimodal learning along with some of its main use cases, and discuss the progress made at Intel Labs towards creating of robust multimodal reasoning systems.
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Intel Labs Enables AI Innovation with Hardware-Aware Automated Machine-Learning Tools
Intel Labs’ hardware-aware AI-based automation tools (AutoX) enable rapid adoption of AI models for different deployments to address productivity challenges.
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LM!=KM: Five Reasons Why Language Models Fail to Support Knowledge Model Requirements of Next-Gen AI
This post will discuss the five capabilities that make up an advanced KM and how these areas cannot be easily addressed by LMs in their present form. These capabilities are Scalability, Fidelity, Adaptability, Richness and Explainability.
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