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You can find our thoughts about the most cutting-edge technology on our blog and social media and articles about our latest projects and development process.

Padmé 2.0

We just launched Padmé 2.0! Padmé had a remarkable journey in 2022, from revisiting the US Open and Wimbledon to foraying into new venues like The Shed, TD Garden, and Universal studios.

Padmé revisits US Open

We are thrilled to announce that Padmé, the flagship product from Lotus Labs, has revisited US Open Tennis 2022 after our launch in 2021. Since then, we have successfully deployed our platform at Wimbledon, The Shed and running pilots at TD Garden and Universal studios.

Crowd Surge Analysis

Design a computer vision solution that can assess the crowd density and behavior in a venue and inform the operators of the typical points of crowd convergence and the current crowd situation.

Truck Logo Recognition using MobileNet and Yolo

Truck logo recognition looks like an easy classification, just like classifying a car or a truck in the vehicle data collection.

Optimizing models and controllers for distributed energy resources

From Demand Response programs to utilities rates, AI can help optimizing energy models.

Accurate insurance claims prediction with Deep Learning

Accurate prediction gives insurance companies a chance to reduce financial loss for the company.

Introduction to Convolutional Neural Networks and its Applications

Convolutional Neural Networks are deep neural networks that are primarily used for computer vision.

Forecasting retail store sales with deep learning using entity embeddings

Accurate retail sales demand forecasting is critical for optimal resource allocation, budget planning and other related retail tasks during the year.