Don’t lift a finger: AI-driven voice commands are the future of the smart home
Powered by AI and machine learning, voice control of devices makes an entire home ready to answer a user’s every beck and call.Read More
Is Intel Labs’ brain-inspired AI approach the future of robot learning?
Intel Labs’ new neuromorphic computing approach is aimed primarily at future applications such as robotic assistants.Read More
Apple’s New ‘Ultra’ Watch Goes Toe-to-Toe With Garmin
Saddled by still-mediocre battery life, the Apple Watch Ultra isn’t a true competitor to the reigning king of premium wearables. But it’s getting much closer.
Everything Apple Announced: iPhone 14, Apple Watch Ultra, and More
Wednesday’s iPhone launch event saw the release of four new iPhone models, plus an Apple Watch built to take a beating.
Apple’s Killing the Password. Here’s Everything You Need to Know
With iOS 16 and macOS Ventura, Apple is introducing passkeys—a more convenient and secure alternative to passwords.
A Steam Deck Helped Me Endure Artemis 1’s Failure to Launch
It was indeed a long, long time, and I was decidedly not a Rocketman.
Why Pain Feels Worse at Night
Many people report that their aches and pains intensify when they’re trying to sleep, but new research into the circadian clock helps explain this mystery.
Walking and slithering aren’t as different as you think
Abrahamic texts treat slithering as a special indignity visited on the wicked serpent, but evolution may draw a more continuous line through the motion of swimming microbes, wriggling worms, skittering spiders and walking horses. A new study found that all of these kinds of motion are well represented by a single mathematical model.
Next generation of hearing aids could read lips through masks
A new system capable of reading lips with remarkable accuracy even when speakers are wearing face masks could help create a new generation of hearing aids.
Collaborative machine learning that preserves privacy
Training a machine-learning model to effectively perform a task, such as image classification, involves showing the model thousands, millions, or even billions of example images. Gathering such enormous datasets can be especially challenging when privacy is a concern, such as with medical images. Researchers from MIT and the MIT-born startup DynamoFL have now taken one …
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