Happy Sunday and welcome to the weekend edition of InsideAI. I'm Rob May, CEO of Talla, a new kind of knowledge base for Sales, Support, and Success teams that merges automation and machine learning with content. I also host the AI at Work podcast - the most recent one is a fantastic talk with David Murgatroyd, who runs machine learning at Spotify.
This weekend, we will look at the top articles and links from the week, then I am going to make a very unpopular and unusual prediction about AI.
Top links of this week:
A U.K. startup that uses AI to produce marketing copy plans to expand into the U.S. market. Phrasee is based in London and the company's clients include Domino’s, Virgin, and Superdry. Phrasee was founded in 2015 and has raised $4 million in a Series A round to support its deep learning and natural language generation technology. According to co-founder and CEO Parry Malm, their systems are able to write copy that is "indistinguishable" from copy written by humans, and can also predict whether the copy will be effective. The funding round was led by Albion Capital and will allow the company to launch in San Francisco in June. — THE TELEGRAPH
Singapore is launching two initiatives to train 12,000 people in AI. The programs are being spearheaded by AI Singapore, a national organization created in May 2017 to boost the country's AI development. One of the initiatives is called "AI for Everyone," and targets 10,000 secondary school students and working adults. AI for Everyone is free and supported by industry regulator Infocomm Media Authority (IMDA), software vendor Microsoft, and chipmaker Intel. The second initiative, "Foundation in AI," is geared toward 2,000 technically inclined professionals. Foundation in AI will focus on basic competency and software development skills for the Python platform. — ZDNET
Designers Philipp Schmitt and Steffen Weiss developed an AI system for creating a new style of chair. Called the chAIr project, the system has a generative adversarial network (GAN) trained on a dataset of 562 chair designs from the 20th century. The GAN network generates new images based on the dataset, and analyzes and refines the new images. The designers then used the AI images to make 3D sketches factoring in real-world variables such as the material used to produce prototype chairs. — FAST COMPANY
Google is open-sourcing its reinforcement learning framework. The company made the announcement yesterday, introducing the Tensorflow-based system that was designed for clarity and simplicity so that researchers can quickly prototype reinforcement learning algorithms. The framework is called "Dopamine" and is available today on Github. Google is also providing the JSON data files so researchers can compare their data with that of agents trained in other networks, and a website so researchers can visualize the training runs. — VENTUREBEAT