Artificial Intelligence (AI) - Page 10

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Artificial Intelligence (AI) - Page 10

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

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IT Requirements for Effective AI Planning

According to a whitepaper from ABi Research, every AI investment must be a forward-looking business ...
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Enterprise AI: Growing Momentum, But Who is Driving?

According to a survey and white paper from Omdia Consulting, the focus is shifting towards the devel...
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Skin Cancer Detection using TensorFlow*: Developer Spotlight

Spotlight on Jayita Bhattacharyya blog proposing a solution to Skin Cancer Detection
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Anaconda Demo: Greener Machine Learning with Intel

Learn about “Green AI,” a focus on reducing the environmental impact of AI systems
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Enhance Your AI Pipeline through Efficient Knowledge Transfer with Model Adapter

Model Adapter is a toolkit based on knowledge transfer technology to make AI pipeline easier.
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Intel Labs Researcher Spotlight: Leobardo Campos Granted the 2022 Weizmann Award

Intel Labs research scientist Leobardo Campos was awarded the 2022 Weizmann Award for technology and...
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How Intel Builds AI with People in Mind

Intel’s Intelligent Systems Research Lab is working to understand the interplay between technical an...
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Intel Presents Latest Computer Vision Research and Achievements at CVPR 2023

Intel presents six main conference papers at CVPR 2023, including novel methods for exploiting the i...
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Accelerating Generative AI and Large Language Models with Gaudi2

View our live webinar recording as we discuss the cutting-edge capabilities of the Habana® Gaudi®2 A...
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Compressing the Transformer: Optimization of DistilBERT with the Intel® Neural Compressor

A neural network, the aptly named, biologically-inspired programming paradigm, enables the processin...
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CARLA and AVL Collaboration: Ushering in a New Era of Off-Road Autonomous Vehicle Simulation

CARLA, a free, open-source simulator designed to support the development of autonomous driving syste...
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PyTorch New York Meetup (Virtual) on June 7th: Video Replay Available

Watch the video replay from 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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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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