In the News
Machine learning algorithms don’t yet understand things the way humans do — with sometimes disastrous consequences.
A tech boot camp will teach US politicians and policymakers about the potential, and the risks, of artificial intelligence.
Also in the news…
- Microsoft’s president: we need to regulate facial recognition tech. But AI is still very very stupid.
- Habana Labs raises $75M for its AI chips, DeepMap raises $60M for its HD maps for self-driving cars and Engineer.AI raises $29.5M for its AI+Humans software building platform.
Some thoughts on the evolution of ML at Uber over the last three years: why and how they developed their Michelangelo platform along with the way they have been scaling ML to support large numbers of experiments
The Economist and others have recently described how online programs like fast.ai can “equip the masses to use AI.” One of the protagonists, Sara Hooker, feels uneasy about this and gives here a firsthand description of what it really takes to be successful in this field.
2h lecture by Stephen Wolfram on what he learned from building Wolfram Alpha.
Talk by Greg Brockman, founder of OpenAI.
Software tools & code
New dataset released by Google. Around 10 million images with bounding boxes, visual relationships, and image-level labels for 20,000 distinct concepts
Controlled image synthesis and editing using a novel TL-GAN model
Open Source Applied Reinforcement Learning Platform
Using text to accurately identify images
This newsletter is a collection of AI news and resources curated by @dlissmyr. If you find it worthwhile, please forward to your friends and colleagues, or share on your favorite network!
Suggestions or comments are more than welcome, just reply to this email.
Artificial Intelligence Weekly