devices
Unlocking the potential of AI on edge devices
In an interview at AI & Big Data Expo, Alessandro Grande, Head of Product at Edge Impulse, discussed issues around developing machine learning models for resource-constrained edge devices and how to overcome them. During the discussion, Grande provided insightful perspectives on the current challenges, how Edge Impulse is helping address these struggles, and the tremendous…
Splitting a large AI across several devices lets you run it in private
Running your own AI locally by splitting it across multiple devices offers more privacy than using online services Source link
Closing the design-to-manufacturing gap for optical devices | MIT News
Photolithography involves manipulating light to precisely etch features onto a surface, and is commonly used to fabricate computer chips and optical devices like lenses. But tiny deviations during the manufacturing process often cause these devices to fall short of their designers’ intentions. To help close this design-to-manufacturing gap, researchers from MIT and the Chinese University…
You can finally control Kasa devices in the Tapo app
Wi-Fi router manufacturer TP-Link is finally uniting its two smart home brands under one app, Tapo. The company has made smart gadgets since 2019, but confoundingly under two separate brands: Tapo and Kasa. After a recent update (Tapo 3.0), TP-Link is now letting users port their Kasa devices into the Tapo app. This allows you…
Top Features in Apple’s iOS 17 and iPadOS 17: Compatible Devices, Updates
You’re now able to check in with a friend or family member when you arrive at a destination. If you dillydally for some reason on the way to this destination, the system will try to check in with you, and if you don’t respond, it will share location data, battery level, and cell service status…
Technique enables AI on edge devices to keep learning over time | MIT News
Personalized deep-learning models can enable artificial intelligence chatbots that adapt to understand a user’s accent or smart keyboards that continuously update to better predict the next word based on someone’s typing history. This customization requires constant fine-tuning of a machine-learning model with new data. Because smartphones and other edge devices lack the memory and computational…