Seven Must-Read Stories (Week Ending May 28, 2016)
Another chance to catch the most interesting, and important, articles from the previous week on MIT Technology Review.
- Sensing the Inevitable, Companies Begin to Adapt to Climate Change
Most have yet to incorporate climate change into their business plans, but a few are finding a way. - No Industry Can Afford to Ignore Artificial Intelligence
MIT Technology Review’s EmTech Digital conference will explore and explain how artificial intelligence is transforming all kinds of business. - Big Ideas, Big Conflicts in Plan to Synthesize a Human Genome
Printing genomes on demand could mean custom-built organisms, difficult ethical questions, and profits for a handful of companies. - Germany Runs Up Against the Limits of Renewables
Even as Germany adds lots of wind and solar power to the electric grid, the country’s carbon emissions are rising. Will the rest of the world learn from its lesson? - Tesla Tests Self-Driving Functions with Secret Updates to Its Customers’ Cars
The Internet connection built into every Tesla gives the company a unique advantage in the race to develop autonomous vehicles. - Washington Grapples with a Thorny Question: What Is a GMO Anyway?
New approaches to generating crop varieties are making it hard for policymakers to know what to regulate. - Google Has a Plan to Kill Off Passwords
Passwords are annoying to remember and can be insecure, so Google is turning to a new form of authentication to protect our personal information. <
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OpenAI teases an amazing new generative video model called Sora
The firm is sharing Sora with a small group of safety testers but the rest of us will have to wait to learn more.
Google’s Gemini is now in everything. Here’s how you can try it out.
Gmail, Docs, and more will now come with Gemini baked in. But Europeans will have to wait before they can download the app.
This baby with a head camera helped teach an AI how kids learn language
A neural network trained on the experiences of a single young child managed to learn one of the core components of language: how to match words to the objects they represent.
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