At this week’s Google Cloud Next conference, Israeli company Plataine demonstrated a new app for Google Glass, pointing to artificial intelligence as the technology that will drive the success of the spectacles. The easy-to-use app, which is aimed at factory workers, understands and replies in spoken language. Plataine’s clients already include Airbus, Boeing and GE, and the company is now working on adding image recognition capabilities to the app, which was built using Google Cloud AI services and support from the tech giant. Continue reading New App for Manufacturing Workers Adds AI to Google Glass

At its Cloud Next conference, Google revealed that its AutoML Vision, which allows non-experts to train their own self-learning models for image and object recognition, will soon be available in public beta. It also debuted AutoML Natural Language and AutoML Translation. To democratize such techy AI tools, Google relied on a simple graphical interface and such widely adopted interfaces as drag-and-drop. The company is also pitching its cloud services to corporations, having recently nabbed Target as a client. Continue reading Google to Open Up Its AutoML Vision AI Tool for Public Beta

In May, research project Google Brain debuted its AutoML artificial intelligence system that can generate its own AIs. Now, Google has unveiled an AutoML project to automate the design of machine learning models using so-called reinforcement learning. In this system, AutoML is a controller neural network that develops a “child” AI network for a specific task. The near-term goal is that AutoML would be able to create a child that outperforms human versions. Down the line, AutoML could improve vision for autonomous vehicles and AI robots. Continue reading Google Intends to Advance Machine Learning With its AutoML

Google Senior Fellow Jeff Dean, who works on the Google Brain team, recently highlighted AutoML (for machine learning), a project aimed at using AI-empowered machines to build other AI machines, removing humans from the equation. The need for AI algorithms grows as its capabilities are becoming important to a wide range of industries. But only an estimated 10,000 people worldwide have the education, expertise and ability to construct those algorithms, and Facebook, Google and Microsoft pay millions of dollars for them. Continue reading Google Project Aims to Use AI to Develop More AI Algorithms