Artificial Intelligence (AI)

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331 Discussions

Artificial Intelligence (AI)

Artificial Intelligence (AI)
Discuss current events in AI and technological innovations with Intel® employees

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PyTorch New York Meetup (Virtual) on June 7th

Learn why you want to sign up to virtually attend the NYC PyTorch Meetup on Wednesday, June 7, 2023
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Deploy Accelerated Distributed AI Applications on the AWS Cloud

Capitalize on distributed architectures based on Kubernetes* with Intel® optimized AI software and h...
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Sign Language Recognition using scikit-learn* (sklearn): Developer Spotlight

Learn about Sign Language Recognition technology that recognizes actions from sign languages
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Face Mask Detection using scikit-learn* (sklearn): Developer Spotlight

Highlights from Ripan Roy blog proposing a solution to Face Mask Detection
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Intel Labs Details Latest Innovations in Deep Learning at ICLR 2023

The International Conference on Learning Representations (ICLR) 2023 will run from May 1st through 5...
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Architecting for Accelerators – Intel® AMX and Intel® XMX

Using SYCL Joint Matrix Extension on Intel® AMX and Intel® XMX to create custom AI optimizations
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Intel Labs Shares Kid Space at Home Research with the Educational Community at Bett UK 2023

Intel Labs excitedly presented its recent research, ‘Multi-Modal Conversational Artificial Intellige...
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Multi-Model, Hardware-Aware Train-Free Neural Architecture Search

In this blog, we introduce the challenges of traditional NAS solutions and propose a multi-model, ha...
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Have Machines Just Made an Evolutionary Leap to Speak in Human Language?

In this blog, we evaluate the progression of methods to guide and converse with machines based on re...
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Intel, Brown, and MIT Set New Record in Energy-Efficient Sorting

Intel Labs, in a joint effort with Brown University and MIT through a DSAIL research collaboration, ...
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Intel AI Startup Olympics: Hackathon to Accelerate Innovation

This event let startups showcase and refine their technology on the latest Intel hardware and softwa...
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Get Better TensorFlow* Performance on CPUs and GPUs

Ongoing collaboration between Intel® and Google, the Intel® Optimization for TensorFlow*
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Enabling In-Memory Computing for Artificial Intelligence Part 2: The Digital Approach

Intel Labs is actively pursuing multiple avenues for In-Memory Computing. Part 2 of this blog series...
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Join the Neurofibromatosis Tumor Segmentation Challenge

Intel is co-hosting a MICCAI 2023 challenge to improve medical image analysis deep learning results
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Azure ML Based Federated Learning with Intel® Xeon® Platforms

Federated Learning using Azure ML and on-premises Intel Xeon Platforms
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Virtual Meeting: CPU Accelerated Fine-Tuning for Image Segmentation using PyTorch

Register for virtual University of Houston Hewlett Packard Enterprise Data Science Institute meeting
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Accelerate your AI Applications using Intel AI Tools and Frameworks: Three Tech Talks

Overview of three on-demand tech talks which were delivered at oneAPI DevSummit for AI and HPC 2022
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Optimize PyTorch* Performance on the Latest Intel® CPUs and GPUs

With 4th Gen Intel® Xeon® Scalable Processors, developers can use optimization strategies for PyTorc...
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Meetup: CPU Accelerated Fine-Tuning for Image Segmentation using PyTorch

Register for Virtual Meetup on how to accelerate fine-tuning models on your CPU using PyTorch
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On-Demand Webinar: Optimize Transformer Model Performance with Intel and Hugging Face

Julien Simon of Hugging Face: increase productivity running transformers workloads on CPU platforms
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6 Trends Driving the AI Everywhere Boom

With AI Everywhere, businesses and organizations can use AI to automate tasks, improve decision-maki...
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Enabling In-Memory Computing for Artificial Intelligence Part 1: The Analog Approach

In this two-part series, we will explore and evaluate digital and analog computing and highlight the...
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Talkin’ ‘Bout My Generative AI

It may not be trying to cause a big sensation, but this powerful technology is leading the headlines...
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Intel oneAPI AI Tools and Frameworks Quick Reference

Download a guide with links to key resources for getting started with Intel oneAPI AI software.
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AI and HPC DevSummit 2022 Keynote: AI Software and Hardware Acceleration

Intel’s AI software, tools with hardware architectures are improving AI application performance
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Is Positional Encoding Required In All Language Models?

Peter Izsak is a Staff Research Scientist at Intel Labs, where he explores topics at the intersectio...
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Getting started with classical Machine Learning Frameworks using Google Colaboratory

Installing major machine learning frameworks optimized by Intel on Google Colaboratory (Colab)
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Training Causal Language Models on SDSC’s Gaudi-based Voyager Supercomputing Cluster

The SDSC Voyager supercomputer is an innovative AI system designed specifically for science and engi...
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Intel Labs at The Winter Conference on Applications of Computer Vision

Intel presents five computer vision papers that detail novel works that include a Dynamic Scene Grap...
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Top 10 Intel Labs Posts of 2022

Intel Labs presented many exciting research innovations in 2022. Read for a brief description of Int...
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AI4Mat NeurIPS 2022 Workshop Recap

At NeurIPS 2022, Intel Labs researchers and academic and corporate co-organizers hosted a workshop c...
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Microsoft Azure Cognitive Service Containers on-premises with Intel Xeon Platform

Microsoft Azure Cognitive Services based AI Inferencing on-premises with Intel Xeon Platforms
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Art Generation with PyTorch Stable Diffusion and Habana Gaudi

In this post, we will learn how to run PyTorch stable diffusion inference on Habana Gaudi processor,...
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Responsible AI: The Future of AI Security and Privacy

Intel Innovation 2022: Jason Martin, Principal Engineer leading Intel Labs Secure Intelligence Team
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Intel Labs Introduces SPEAR: An Open-Source Photorealistic Simulator for Embodied AI

Intel Labs collaborated with the Computer Vision Center in Spain, Kujiale in China, and the Technica...
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Intel Labs Presents Natural Language Processing Research at EMNLP 2022

Intel Labs presents latest research in Natural Language Processing at EMNLP.
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Writing training scripts that can run either on Gaudi, GPU, or CPU

In this tutorial we will learn how to write code that automatically detects what type of AI accelera...
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Intel Labs Introduces the Open MatSci ML Toolkit

Intel Labs has set several works in motion to further the development and application of advanced ar...
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Intel Co-Sponsors New Phase of MIT DSAIL Program for Instance-Optimized Data Systems Research

A new phase of our Data Systems and Artificial Intelligence Lab (DSAIL) university research  progra...
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CUMULATIVE_THROUGHPUT Enables Full-Speed AI Inferencing with Multiple Devices

OpenVINO™ has enabled automatic selection of the most suitable target device for AI inferencing
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Habana this week at re:Invent ‘22

The Habana® team is excited to be at re:Invent 2022, November 28 – December 1. We’re proud that Ama...
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