10 Emerging Technologies 2007
As always, Technology Review’s annual list of emerging technologies to watch comprises projects in a broad range of fields, including medicine, energy, and the Internet. Some, such as optical antennas and metamaterials, are fundamental technologies that promise to transform multiple areas, from computing to biology. Our reports on peer-to-peer video, personalized medical monitors, and compressive sensingreveal how well-designed algorithms could save the Internet, simplify and improve medical diagnoses, and revamp digital imaging systems in cameras and medical scanners. Nanohealing and quantum-dot solar power demonstrate the potential of nanotechnology to make a concrete difference in our daily lives by changing the way we treat injuries and helping solar energy deliver on its promises. Precise neuron control could help physicians fine-tune treatments for brain disorders such as depression and Parkinson’s disease. And single-cell analysis could not only revolutionize our understanding of basic biological processes but lead directly to predictive tests that could help doctors treat cancers more effectively. Finally, by combining location sensors and advanced visual algorithms with cell phones, mobile augmented reality technology could make it easier to just figure out where we are.
View the 10 Emerging Technologies in a special section.
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
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.