-
-
Articles récents
- Tackling Network Security: AI Agents at the Edge with Red Hat AI on Intel® Processors and Graphics
- Practical Deployment of LLMs for Network Traffic Classification – Part 1
- Practical Deployment of LLMs for Network Traffic Classification
- Intel Labs Presents Latest Machine Learning Research Among Eight Papers at ICML 2025
- Intel Labs Researcher Souvik Kundu Receives DAC Under-40 Innovators Award for Impactful AI Research
-
Neural networks news
Intel NN News
- Tackling Network Security: AI Agents at the Edge with Red Hat AI on Intel® Processors and Graphics
Executive Summary: The cybersecurity landscape is evolving rapidly, with organizations facing […]
- Practical Deployment of LLMs for Network Traffic Classification - Part 1
Additional contributing authors: Rui Li, Vishakh Nair, Mrittika Ganguli Executive SummaryThe […]
- 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, […]
- Tackling Network Security: AI Agents at the Edge with Red Hat AI on Intel® Processors and Graphics
-
Archives de catégorie : Non classé
Best Practice for Text-Classification with Distillation Part (4/4)
In this post, I present Tango architecture, a simple cascade student-teacher model, and exploit the simplicity of task instances to gain maximum throughput for text classification.
Publié dans Non classé
Laisser un commentaire
Conceptualization as a Basis for Cognition — Human and Machine
To pursue this path to better AI, it is essential to understand what “understanding” really means for the human brain.
Publié dans Non classé
Laisser un commentaire
Accelerate Deep Learning with Intel® Optimization for TensorFlow*
Intel and Google* have been collaborating to deliver optimized implementations of some of the most compute-intensive TensorFlow operations.
Publié dans Non classé
Laisser un commentaire
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.
Publié dans Non classé
Laisser un commentaire
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.
Publié dans Non classé
Laisser un commentaire
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.
Publié dans Non classé
Laisser un commentaire
Democratizing AI by Delivering Hardware Performance and Developer Productivity At Scale
In his keynote presentation from the oneAPI DevSummit for AI 2022, Wei Li, VP/GM AI & Analytics at Intel, is joined by Jean-Luc Chatelain, CTO of Accenture Applied Intelligence to launch new AI reference kits for industry-specific use cases.
Publié dans Non classé
Laisser un commentaire
Hybrid AI Inferencing managed with Microsoft Azure Arc-Enabled Kubernetes
Azure Arc-Enabled Kubernetes enables centralized management of heterogenous and geographically separate Kubernetes clusters from Azure public cloud.
Publié dans Non classé
Laisser un commentaire
Python* Data Science at Scale
Learn about how Intel has been working to improve performance of popular Python* libraries
Publié dans Non classé
Laisser un commentaire
Intel Collaboration With Deci Boosts AI Performance on Intel Hardware
A collaboration between Intel Labs and Deci, a start-up company focused on deep learning development, is accelerating the journey toward more scalable AI.
Publié dans Non classé
Laisser un commentaire