As many as 5 percent of children suffer from amblyopia, or “lazy eye, “which causes an otherwise normal eye to lose proper vision. Often the result of a misalignment of the eyes, lazy eye is treatable if caught early-but diagnosis is trickier in children too young to read an eye chart. So Johns Hopkins pediatric ophthalmologist David Hunter and his colleagues have built a device to check eye alignment automatically.
The device, still in early testing, shines a polarized infrared beam into a patient’s eyes and analyzes the light coming back to detectors. When the beam reflects off the fovea-a small, specialized area of the retina responsible for high-acuity vision-it has a characteristic signature. By looking for this signature, Hunter says, the device can tell when an eye that should be aimed straight at the light is more than one degree off the mark. Hunter’s team is working on a second-generation prototype and looking for a commercial partner to help develop the device.
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.
Data analytics reveal real business value
Sophisticated analytics tools mine insights from data, optimizing operational processes across the enterprise.
Driving companywide efficiencies with AI
Advanced AI and ML capabilities revolutionize how administrative and operations tasks are done.
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.