Will AI Replace the Humans In the Loop?

Will AI Replace the Humans In the Loop?

People are involved in everything from training and testing algorithms to labeling data, conducting quality control, and monitoring automation.

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3 Ways Humans in the Loop Add Value to the AI Lifecycle

3 Ways Humans in the Loop Add Value to the AI Lifecycle

Humans play a critical role throughout the AI lifecycle, from data cleaning and labeling to quality control and automation monitoring.

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Accelerating ML Model Development with Human in the Loop

Accelerating ML Model Development with Human in the Loop

Developing ML models requires a lot of data and skilled people to work with it. Here’s our HITL approach for machine learning model development.

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Leadership Q&A with Lisbi Abraham

Leadership Q&A with Lisbi Abraham

We connected with our new chief delivery officer to learn about what brought him to CloudFactory and what he’s learned since joining the team.

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CloudFactory Launches New CV Offering: Data Annotation Solution

CloudFactory Launches New CV Offering: Data Annotation Solution

We are excited to announce a new offering that bundles our professionally managed workforce with a market-leading annotation platform for one price.

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11 Interesting LiDAR Applications

11 Interesting LiDAR Applications

Apple just introduced its newest iPhone models, which feature a LiDAR scanner. Here’s how innovators use LiDAR to train machines to interpret the visual world.

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Driven by AI: Driver Technologies Helps Protect the World’s Motorists

Driven by AI: Driver Technologies Helps Protect the World’s Motorists

Autonomous vehicles and AI driver safety tools aren’t available or affordable for all. Driver Technologies created a free app and model training database to boost safety and ...

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Under the Hood: Active Learning and Autonomous Vehicles

Under the Hood: Active Learning and Autonomous Vehicles

Autonomous vehicles require continuous training to ensure they operate safely. Here’s how active learning can improve that process.

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Billions of Miles of Data: The Autonomous Vehicle Training Conundrum

Billions of Miles of Data: The Autonomous Vehicle Training Conundrum

Autonomous vehicles are among the most data-hungry machines the world’s ever seen. Here’s a look at data collection techniques and challenges.

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Speed Bumps Ahead: Training Data Hurdles for Autonomous Vehicles

Speed Bumps Ahead: Training Data Hurdles for Autonomous Vehicles

From localized bias to difficulties annotating video and radar data, here are some of the biggest challenges facing the future of autonomous vehicles.

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AI in Action: The Rise of Autonomous Vehicles

AI in Action: The Rise of Autonomous Vehicles

Autonomous vehicles are changing the world of transportation and logistics. Here are 3 AV innovators you should know about.

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How Autonomous Cars Learn to See

How Autonomous Cars Learn to See

Training a car to drive itself is a heavy lift. Here’s a closer look at how it works and how people are involved in the process.

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From Meals to Video: Connecting a Remote, Global Workforce

From Meals to Video: Connecting a Remote, Global Workforce

Building and maintaining relationships while working remotely calls for creativity. We use pod socials to connect globally at CloudFactory.

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How Computer Vision Helps Us See the Future

How Computer Vision Helps Us See the Future

Can AI help us predict the future? Here are some fascinating ways computer vision can use today’s data to model tomorrow’s outcomes.

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4 Common Misconceptions About Image Annotation for Computer Vision

4 Common Misconceptions About Image Annotation for Computer Vision

Image annotation is one of the most important tasks when training a computer vision model. Here are common misconceptions to overcome first.

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CEO Mark Sears Interviews New CloudFactory Board Member John Cotterell

CEO Mark Sears Interviews New CloudFactory Board Member John Cotterell

We are delighted to welcome tech veteran John Cotterell to the CloudFactory Board of Directors. CEO Mark Sears talked with John about his new leadership role.

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