Skip to Content

Seven Must-Read Stories (Week Ending July 9, 2016)

Another chance to catch the most interesting, and important, articles from the previous week on MIT Technology Review.
July 8, 2016
  1. Hacking a Desktop Printer to Make Batteries and Circuits
    Want to make a smart coffee mug that signals “hot”? A customized printer can make the flexible circuits and supercapacitors you’ll need.
  2. Are Face Recognition Systems Accurate? Depends on Your Race.
    The available evidence suggests that face matching systems don’t work equally well for different races.
  3. Robotic Stingrays Made with Rat Heart, Algae, and Plastic Fins
    Scientists control the bionic fish with light.
  4. Merck Invests in RNA Startup to Target Cancer
    If it works, mRNA therapy could provide a simple way to create customized cancer vaccines.
  5. Tesla’s Dubious Claims About Autopilot’s Safety Record
    Figures from Elon Musk and Tesla Motors probably overstate the safety record of the company’s self-driving Autopilot feature compared to humans.
  6. Blood Tests That Spot Cancer DNA Offer “Quantitative Peace of Mind” for Survivors
    A study shows that liquid biopsies can predict whether someone has been cured of colon cancer.
  7. The Internet of Things Could Keep Dirty Coal Plants in Business
    Digitization promises lower annual emissions but could increase them over plants’ lifetimes.

 

Keep Reading

Most Popular

This new data poisoning tool lets artists fight back against generative AI

The tool, called Nightshade, messes up training data in ways that could cause serious damage to image-generating AI models. 

Rogue superintelligence and merging with machines: Inside the mind of OpenAI’s chief scientist

An exclusive conversation with Ilya Sutskever on his fears for the future of AI and why they’ve made him change the focus of his life’s work.

The Biggest Questions: What is death?

New neuroscience is challenging our understanding of the dying process—bringing opportunities for the living.

Driving companywide efficiencies with AI

Advanced AI and ML capabilities revolutionize how administrative and operations tasks are done.

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.