Skip to Content

Seven Must-Read Stories (Week Ending February 20, 2016)

Another chance to catch the most interesting, and important, articles from the previous week on MIT Technology Review.
February 19, 2016
  1. Robot Art Raises Questions about Human Creativity
    What is the potential of machine art, and can it truly be described as creative or imaginative?
  2. The Missing Link of Artificial Intelligence
    We don’t know how to make software that learns without explicit instruction—but we need to if dreams of humanlike AI are to come true.
  3. The Best AI Program Still Flunks an Eighth-Grade Science Test
    A contest designed to push the limits of artificial intelligence suggests that truly intelligent machines are a long way off.
  4. Inside the Mosquito Factory That Could Stop Dengue and Zika
    Genetically modified mosquitoes seem to stop the spread of disease—but will Brazil, or anyone else, pay for them?
  5. Startup Bets Its Magic Touch on Seeds Can Boost Crop Yields
    Harnessing microbes to increase crop production could lessen the need for pesticides and fertilizer.
  6. Apple Vows to Fight the Feds in the Battle over Encryption
    Apple CEO Tim Cook has said his company will fight a court order to unlock the iPhone 5c owned by one of the San Bernardino shooters.
  7. EmTech Digital Preview: Imagining Tomorrow’s Intelligent Systems
    Join us in San Francisco this May as we explore how artificial intelligence is changing business and redefining the way we work.
  8. <

Keep Reading

Most Popular

Large language models can do jaw-dropping things. But nobody knows exactly why.

And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models.

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.

Stay connected

Illustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at customer-service@technologyreview.com with a list of newsletters you’d like to receive.