Two Intel Labs research papers present novel neuromorphic computing solutions using Intel’s Loihi ne...
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Intel Labs introduces VI-Depth version 1.0, an open-source model that integrates monocular depth est...
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Intel Labs researchers will present 24 papers at CVPR 2024 on June 17-21
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Researchers at Intel Labs introduced Language Model Assisted Generation of Images with Coherence, a ...
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In this blog post, we introduce an optimized importance sampling routine for GGX materials. Such mat...
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Intel is proud to present the first SYCL implementation of fully-fused Multi-Layer Perceptrons appli...
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This year’s International Conference on Learning Representations (ICLR) is hosted in Vienna Austria ...
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Could the risks of silent data corruption hinder the quality of AI training data?
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At the Optical Fiber Conference in San Diego on March 26-28, 2024, Intel demonstrated our advanced O...
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There are many outstanding women at Intel Labs, and in honor of International Women’s Day, we would ...
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Researchers at Intel Labs, in collaboration with Xiamen University and DJI, have introduced GIM, the...
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Intel Senior Fellow Pradeep K. Dubey was named a 2023 ACM Fellow for his lifelong technical contribu...
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Intel Labs and Intel DCAI researchers demonstrated how advanced AI models can be trained on 4th Gene...
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Intel Labs’ top stories of 2023 cover the release of the Intel® Quantum Software Development Kit and...
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Training a single generic model for solving arbitrary datasets is always a dream for ML researchers,...
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Intel Labs and Mila collaborate on HoneyBee, a large language model specialized to materials science...
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This year, Intel Labs presents 31 papers at NeurIPS, including 12 at the main conference. Contributi...
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In this two-part series, we will explore and evaluate digital and analog computing and highlight the...
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Model pruning is arguably one of the oldest methods of deep neural networks (DNN) model size reducti...
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GenAI Architecture Shifting from RAG Toward Interpretive Retrieval-Centric Generation (RCG) Models
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Intel Labs and AIA developed a new graph sampling method called “fused sampling” that achieves up to...
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Intel Labs, Mila, and Recursion Pharmaceuticals collaborated on Multi-Objective GFlowNets (MOGFNs), ...
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Intel Labs recently released the Open MatSci ML Toolkit version 1.0 on August 31, making training of...
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Intel presents six computer vision works at he 2023 International Conference on Computer Vision (ICC...
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Optimum Habana makes it easy to achieve fast training and inference of large language models (LLMs)...
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