A new data-driven technique for obstacle avoidance in autonomous vehicles is reported in the International Journal of Vehicle ...

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior performance compared to conventional non-machine learning ... on deception ...

The system uses up to six cameras on any construction equipment to alert operators to obstacles and people to avoid accidents.

Key considerations for discovery in AI-focused intellectual property (IP) litigation, including an examination of a hypothetical patent infringement and trade secret misappropriation case on highly ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

In the last two decades, mass digitization has dramatically changed the landscape of scholarly research. The ability to ...

Machines are rapidly gaining the ability to perceive, interpret and interact with the visual world in ways that were once ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

Join 10,000+ vision professionals driving innovation in automation, AI and imaging with: ...