Good. In part 1 we saw a few examples of what was possible with the API. In this part I will try to cover why I think the hype on the API is more justified than the hype on AI.

Major League Baseball is entering uncharted waters with the start of its COVID-abridged season today. Nobody’s really sure if the 60-game season will even be able to get through the World Series without disruption by the pandemic’s spread. The folks at …

Yann LeCun, the chief AI scientist at Facebook, helped develop the deep learning algorithms that power many artificial intelligence systems today. In conversation with head of TED Chris Anderson, LeCun discusses his current research into self-supervised m…

As the first generation of such work that was mainly crowdsourced gave way to more advanced requirements, companies such as Infolks, iMerit and Playment have come up catering to global clients and making India an emerging hub for data labelling and annota…

An AI system will enable glasses-free 3D displays to simultate real-world environments that look as if they can be explored through living space ‘windows.’…

The fully-managed service enables retailers to use AI to give customers personalized product recommendations.

With the release of OpenAI’s GPT-3 the topic of AI writing code is hot again. GPT-3 is a natural language model that, given some examples, tries to predict appropriate text output for a given text input. Since code is just text, there’s the question of wh…

Blue Screen: How Peter Gustafson Defragmented the World – Kindle edition by Benzle, Kyle. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Blue Screen: How P…

The first illustrated book from Tinkered Thinking will soon be available.