Тег: "Intel_Labs" в "Artificial Intelligence (AI)"

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Curious Case of Chain of Thought: Improving CoT Efficiency via Training-Free Steerable Reasoning

Researchers from the University of Texas at Austin and Intel Labs investigated chain-of-thought reas...
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Intel Labs Works with Hugging Face to Deploy Tools for Enhanced LLM Efficiency

Large Language Models are revolutionizing AI applications; however, slow inference speeds continue t...
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Intel Labs Open Sources Adversarial Image Injection to Evaluate Risks in Computer-Use AI Agents

Adversarial examples can force computer-use artificial intelligence (AI) agents to execute arbitrary...
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Robots Meet Humans: Intel Labs Extends Robotics Safety to Cover 3D Environments

Intel Labs researchers have developed a new set of safety concepts for mobile and stationary robots ...
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Intel Labs Presents Latest Machine Learning Research Among Eight Papers at ICML 2025

Intel Labs is excited to present six works at this year's ICML conference in Vancouver Canada, inclu...
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Intel Labs Researcher Souvik Kundu Receives DAC Under-40 Innovators Award for Impactful AI Research

Souvik Kundu is a Staff Research Scientist at Intel Labs, leading scalable and efficient AI research...
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Mamba-Shedder: Intel Labs Explores Efficient Compression of Selective Structured State Space Models

Utilizing block pruning techniques, Intel Labs researchers developed the Mamba-Shedder solution to r...
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Scalable Vector Search: Deep Dive Series

Vector search is at the core of the AI revolution, and this blog series is here to teach you all abo...
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Intel Labs’ Innovative Low-Rank Model Adaptation Increases Model Accuracy and Compression

Intel Labs’ Neural Low-Rank Adapter Search (NLS) produces accurate models with INT4 weights and is a...
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A Journey Towards Approaching “Why” Question-Answering for Video

Let’s take a super fast journey summarizing the strides taken in an era (2012 to 2025 period) from s...
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Intel Labs’ Kid Space Conversational AI Facilitates Collaborative Problem-Solving Among Students

Scientists involved in the multi-year research project completed several prototype studies, demonstr...
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New Atlas CLI Open Source Tool Manages Machine Learning Model Provenance and Transparency

Intel Labs offers Atlas CLI, an open source tool for managing machine learning (ML) model provenance...
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Intel Labs Presents Leading Multimodal and Agentic Research at CVPR 2025

Intel Labs researchers will present eleven papers at conference workshops as part of CVPR 2025. Thes...
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Making Vector Search Work Best for RAG

This blog in the series on Scalable Vector Search summarizes insights from our study on optimizing v...
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Tangible Immersion: How Intel Labs Programs Cobots Using Haptic Mixed Reality

Using programming-by-demonstration for collaborative robots (cobots), Intel Labs researchers employ ...
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Specialized Cognitive Experts Emerge in Large AI Reasoning Models

Intel researchers found that DeepSeek-R1 demonstrates greater semantic specialization in expert rout...
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Evaluating Trustworthiness of Explanations in Agentic AI Systems

Intel Labs research published at the ACM CHI 2025 Human-Centered Explainable AI Workshop found that ...
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Intel Presents Novel Research at NAACL 2025

Intel is proud to present four papers this year’s Annual Conference of the Nations of the Americas C...
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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 RAG-FiT...
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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
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Intel Presents Cutting-Edge AI Research at ICLR 2025

Intel is pleased to present 10 main conference papers, five workshop papers and leading the organiza...
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Intel Presents Latest Circuit Innovations at CICC 2025

Intel is proud to present four technical papers, an educational session and panel at this year's CIC...
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Dimensionality Reduction for Scalable Vector Search

In this post, we present LeanVec, a framework that combines dimensionality reduction with vector qua...
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The Urgent Need for Intrinsic Alignment Technologies for Responsible Agentic AI

Rethinking AI Alignment and Safety in the Age of Deep Scheming
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