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How VirtuSense built an AI data engine that dramatically increased model performance

Virtusense is the #1 fall prevention system in the world. To train and maintain their models, the team designed their data engine to automate nearly every aspect of the iteration loop.

How Deque uses data prioritization and model diagnostics to unlock AI breakthroughs in digital accessibility

Deque has developed a sophisticated data engine that’s capable of prioritizing the most performant classes of data, discovering model errors quickly, and fueling their iterations with high-quality data.

CAPE Analytics tackles catastrophe and property analyses for insurance with AI

CAPE Analytics creates AI applications, primarily for insurance organizations, that extracts information from aerial or satellite geospatial images.

Genentech develops breakthrough labeling process for medical imagery ML

Genentech researchers are building convolutional neural networks to help diagnose illnesses and aid medical professionals.

New study finds that non-expert labeling teams can create high quality training data for medical use cases

Imperial College London’s BioMedIA research group and the iFind Project set out to challenge the assumption that only those medical training can provide quality annotations for clinical deep learning models.

NASA’s Jet Propulsion Laboratory employs ML to find signs of life in our solar system

Does life exist beyond our planet? This ML team is training an algorithm to help researchers find life elsewhere in our solar system.

How Sharper Shape built a robust ML pipeline with Labelbox and Valohai

Learn how Sharper Shape currently utilizes Labelbox and Valohai to collaborate more efficiently and take advantage of both platforms to manage a mature and large-scale machine learning operation.

How Move.ai is revolutionizing video content creation

Emerging AI company Move.ai is set to change the status quo, making processes like motion capture and key point recognition easier, faster, and less expensive.

American University of Beirut takes on dietary behavior research with ML

Researchers at the American University of Beirut have embarked on a project International Development Research Centre (IDRC) to build two machine learning models that classify images of food taken by wearable cameras.

University of Exeter uses ML to reveal how the media impacts human behavior

Researchers at Exeter University have been conducting two studies utilizing machine learning to explore the effects of news and social media on public attitudes and behavior.