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Articles récents
- Embedded LLM Benchmarks Reveal Intel® Gaudi® 2 Advantage over NVIDIA A100
- Intel Labs Offers Open Source AI Frameworks Designed to Run on Intel Hardware
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Neural networks news
Intel NN News
- Embedded LLM Benchmarks Reveal Intel® Gaudi® 2 Advantage over NVIDIA A100
Intel® Liftoff startup Embedded LLM benchmarked Intel® Gaudi® 2 against NVIDIA A100, revealing […]
- Intel Labs Offers Open Source AI Frameworks Designed to Run on Intel Hardware
Intel Labs supports the AI developer community with open source AI frameworks, including the […]
- The Secret Inner Lives of AI Agents: Understanding How Evolving AI Behavior Impacts Business Risks
Part 2 in Series on Rethinking AI Alignment and Safety in the Age of Deep Scheming
- Embedded LLM Benchmarks Reveal Intel® Gaudi® 2 Advantage over NVIDIA A100
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Archives de catégorie : Non classé
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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Sentence Transformer Fine-Tuning (SetFit)
In this work, we demonstrate Sentence Transformer Fine-tuning (SetFit), a simple and efficient alternative for few-shot text classification. The method is based on fine-tuning a Sentence Transformer with task-specific data and can easily be implemented with the sentence-transformers library.
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Intel® Labs’ Graph Neural Networks Research Featured as Groundbreaking Work in AI
Research finds that reversible Graph Neural Networks (RevGNNs) significantly outperform existing methods on multiple datasets and improve large models’ memory efficiency for AI applications.
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No One Rung to Rule Them All: Addressing Scale and Expediency in Knowledge-Based AI
Published October 26, 2021 Image adapted from Elentaris Photo / Shutterstock.com Gadi Singer is Vice President and Director of Emergent AI Research at Intel Labs leading the development of the third wave of AI capabilities. Cognitive AI, hierarchy of knowledge, … Continuer la lecture
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