computer vision tagged posts:

Smart Manufacturing: Computer Vision and AI for Inline Inspection

February 5th, 2024 |
Smart Manufacturing: Computer Vision and AI for Inline Inspection

Intel IT is using computer vision and AI for inline inspection in Intel’s assembly and test factories.

Keeping Intel’s global network of factories running at top efficiency is one of Intel IT’s primary roles. Over the last decade, we have [See the full post…]

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Categories: Artificial Intelligence, Intel, Intel IT, IT White Papers, IT@Intel Tags: , , , , , , , , , , , , , , , , , , ,

Computer Vision and NLP in Practice with ExamRoom.AI – Conversations in the Cloud – Episode 292

January 16th, 2023 |
Computer Vision and NLP in Practice with ExamRoom.AI – Conversations in the Cloud – Episode 292

Deepak MK, Vice President of Data Science at ExamRoom.AI sits in with Jake to discuss the company’s primary mission: to provide a highly secure, unified assessment system and fair environment to the candidates who take online remote proctored exams.

ExamRoom.AI’s [See the full post…]

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Categories: Artificial Intelligence, Audio Podcast, Cloud Computing, Intel, Intel Conversations in the Cloud Tags: , , , , , , , , ,

Generating Real-Time Shelf Insights with ParallelDots Computer Vision Platform – Conversations in the Cloud – Episode 284

October 27th, 2022 |
Generating Real-Time Shelf Insights with ParallelDots Computer Vision Platform – Conversations in the Cloud – Episode 284

Ankit Narayan Singh, Co-Founder & CTO at ParallelDots, joins host Jake Smith to discuss how artificial intelligence and image recognition are transforming the consumer-packaged goods (CPG) and retail industry operations in brick-and-mortar stores. He describes how it’s a challenge for [See the full post…]

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Categories: Artificial Intelligence, Audio Podcast, Cloud Computing, Intel, Intel Conversations in the Cloud Tags: , , , , , , , , ,

Optimizing Computer Vision with GLAIR – Conversations in the Cloud – Episode 280

September 8th, 2022 |
Optimizing Computer Vision with GLAIR – Conversations in the Cloud – Episode 280

Novan Parmonangan Simanjuntak, Head of Machine Learning and Artificial Intelligence Strategy at GLAIR joins host Jake Smith to discuss how GLAIR worked with Intel to optimize deep learning and inference for their computer vision solution. Novan talks about how the [See the full post…]

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Categories: Artificial Intelligence, Audio Podcast, Cloud Computing, Intel, Intel Conversations in the Cloud Tags: , , , , , , , , ,

Streamline Deep-Learning Integration into Defect Classification

Streamline Deep-Learning Integration into Defect Classification

IT Best Practices: Intel factories are using the Intel Distribution of OpenVINO toolkit to streamline deep-learning integration with the factories’ computer vision automatic defect-classification systems.

Intel factories have been using computer vision for over a decade to automate defect [See the full post…]

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Categories: Intel, Intel IT, IT White Papers, IT@Intel Tags: , , , , , , , , , , , , , , , ,

Faster, More Accurate Defect Classification Using Machine Vision

November 14th, 2018 |
Faster, More Accurate Defect Classification Using Machine Vision

IT Best Practices: Automated defect classification (ADC) using machine vision (MV) and machine learning (ML) can improve speed, consistency, and efficiency in manufacturing processes. [See the full post…]

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Categories: Intel, Intel IT, IT White Papers, IT@Intel Tags: , , , , , , , , , , ,

How Is Open Source Important to the Future of Robotics? – Open Source Voices – Episode 3

September 21st, 2018 |
How Is Open Source Important to the Future of Robotics? – Open Source Voices – Episode 3

Open Source Voices: In this episode, Joe Speed, Field CTO of IoT Solutions and Technology at ADLINK, and Greg Burns, Chief IoT Software Technologist at Intel, explore the exciting world of edge computing—specifically, robotics. The robotics industry is predicted [See the full post…]

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Categories: Audio Podcast, Intel, Open Source Voices Tags: , , , , , , , , , , , , , , , , , , , , , ,

Delivering Amazing New Experiences in the Smart Home – Intel Chip Chat – Episode 561

December 1st, 2017 |
Delivering Amazing New Experiences in the Smart Home – Intel Chip Chat – Episode 561

In this Intel Chip Chat audio podcast with Allyson Klein: Miles Kingston, General Manager of the Smart Home Group at Intel, joins us to discuss enabling amazing new experiences in the Smart Home. Kingston’s Smart Home Group helps to [See the full post…]

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Movidius Myriad X: Computer Vision and Deep Learning at the Edge – Intel Chip Chat – Episode 547

September 2nd, 2017 |
Movidius Myriad X: Computer Vision and Deep Learning at the Edge – Intel Chip Chat – Episode 547

In this Intel Chip Chat audio podcast with Allyson Klein: Remi El-Ouazzane, Vice President at Intel New Technology Group and General Manager of Movidius, joins us to share his excitement about the Movidius Myriad X VPU (Vision Processing Unit), [See the full post…]

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Future Lab: Better Photos

December 6th, 2010 |
Future Lab: Better Photos

Many digital tools are available to help photographers achieve better results. But those tools only augment the photographer’s ability to see. Computer vision researchers have been working on programs that allow computers to see. Subhabrata Bhattacharya, working with Intel Labs, [See the full post…]

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Categories: Future Lab Radio, Intel, Intel Free Press, Intel Labs, Research@Intel Tags: , , , , , , , , , , , , , , , , , , , ,

Future Lab: Computer Vision

Future Lab: Computer Vision

In this week’s show we explore computer vision and perception, and the research involved in advancing a computer’s ability to understand the real world.

We talk with Intel senior researchers Rahul Sakthankar and Lily Mummert from the Intel research lab [See the full post…]

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Future Lab: Stemness

August 16th, 2010 |
Future Lab: Stemness

The concept of “stemness” refers to the capacity within a stem cell to create different kinds of cells. It promises to revolutionize medicine. Isolated in the petri dish, stem cells exhibit interesting behaviors that scientists are just beginning [See the full post…]

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