Latest from Google AI – LayerNAS: Neural Architecture Search in Polynomial Complexity

Posted by Yicheng Fan and Dana Alon, Software Engineers, Google Research Every byte and every operation matters when trying to build a faster model, especially if the model is to run on-device. Neural architecture search (NAS) algorithms design sophisticated model architectures by searching through a larger model-space than what is possible manually. Different NAS algorithms,…

Latest from MIT Tech Review – A Cambridge Analytica-style scandal for AI is coming

Can you imagine a car company putting a new vehicle on the market without built-in safety features? Unlikely, isn’t it? But what AI companies are doing is a bit like releasing race cars without seatbelts or fully working brakes, and figuring things out as they go.  This approach is now getting them in trouble. For…

Latest from Google AI – Visual Blocks for ML: Accelerating machine learning prototyping with interactive tools

Posted by Ruofei Du, Interactive Perception & Graphics Lead, Google Augmented Reality, and Na Li, Tech Lead Manager, Google CoreML Recent deep learning advances have enabled a plethora of high-performance, real-time multimedia applications based on machine learning (ML), such as human body segmentation for video and teleconferencing, depth estimation for 3D reconstruction, hand and body…