At Google’s 2018 I/O developer conference, the company debuted a new suite of “digital well-being” aimed at helping Android users better manage their screen time. At its 2019 event, it expanded its tools’ capabilities and improved the related parental controls. Although Google I/O isn’t taking place this year due to the COVID-19 pandemic, the company is once again refreshing its well-being toolset. This year, the focus is a timely one as Google will roll out new bedtime tools to help people get better sleep.
Google reports seeing a rise in sleep-related search queries like “insomnia” and “can’t sleep” in April and May, as the coronavirus crisis led to increased stress and anxiety, which can disrupt sleep.
Android’s “Bedtime” mode, previously known as “Wind Down,” uses Do Not Disturb to silence calls, texts, and notifications, while grayscale fades the colors on your phone to black and white, to reduce the draw to your screen. With the updates to this feature, Google is making it easier to customize when and how Bedtime mode is enabled.
Based on your bedtime schedule, you can now opt to have it automatically turn on after your phone is plugged into its charger. You can also add Bedtime mode to your Android phone’s Quick Settings, to instantly turn it on or off with a single tap. And if you need a few more minutes, you can choose to pause Bedtime mode without needing to adjust your schedule.
The update to Digital Wellbeing, which included the ability to automatically enable Bedtime mode when the phone is charging and add it to Quick Settings, actually rolled out earlier in May. But Google is announcing the features today as part of its other Bedtime mode changes.
The Clock app on Android is also being updated with a new Bedtime tab.
Here, you can set daily sleep and wake times. In the app, you’ll be able to see a preview of your calendar for the next day, and then tally the total number of hours of sleep you’d get. This way, you can adjust your bedtime if needed to sync up with tomorrow’s schedule — even if that means diverting from your typical bedtime schedule.
In addition, users will receive a reminder before bedtime and have the option to play calming sounds from Calm, Spotify, YouTube Music, and other sources. If they have Digital Wellbeing installed, they can pair with Bedtime mode to limit the interruptions during sleep.
The app will also display how much time you’re spending and which apps you’ve used after your set bedtime.
Google additionally suggested users looking for better sleep can try the “Sunrise Alarm” option that gradually brightens your screen to help you wake up more gently. This visual alarm system will begin 15 minutes prior to your audio alarm. Users can also set their favorite songs as an alarm to make the alarm less jarring, Google recommends.
The sunrise alarm was first introduced with the Pixel 3 and Pixel Stand in 2018. But with the update, you will no longer need the stand to use the feature — it’s a part of the new Bedtime tab in the Clock app.
Related to today’s launch of new bedtime features, Google noted it recently added new YouTube bedtime reminders. It also supports a daily bedtime schedule in Andoird’s parental controls feature, Family Link.
The updated Bedtime experience is launching first on Pixel devices starting today, and will roll out to the Clock app and on other Android devices later this summer.
Aluminum and iconography are no longer enough for a product to get noticed in the marketplace. Today, great products need to be useful and deliver an almost magical experience, something that becomes an extension of life. Tiny Machine Learning (TinyML) is the latest embedded software technology that moves hardware into that almost magical realm, where machines can automatically learn and grow through use, like a primitive human brain.
Until now building machine learning (ML) algorithms for hardware meant complex mathematical modes based on sample data, known as “training data,” in order to make predictions or decisions without being explicitly programmed to do so. And if this sounds complex and expensive to build, it is. On top of that, traditionally ML-related tasks were translated to the cloud, creating latency, consuming scarce power and putting machines at the mercy of connection speeds. Combined, these constraints made computing at the edge slower, more expensive and less predictable.
But thanks to recent advances, companies are turning to TinyML as the latest trend in building product intelligence. Arduino, the company best known for open-source hardware is making TinyML available for millions of developers. Together with Edge Impulse, they are turning the ubiquitous Arduino board into a powerful embedded ML platform, like the Arduino Nano 33 BLE Sense and other 32-bit boards. With this partnership you can run powerful learning models based on artificial neural networks (ANN) reaching and sampling tiny sensors along with low-powered microcontrollers.
Over the past year great strides were made in making deep learning models smaller, faster and runnable on embedded hardware through projects like TensorFlow Lite for Microcontrollers, uTensor and Arm’s CMSIS-NN. But building a quality dataset, extracting the right features, training and deploying these models is still complicated. TinyML was the missing link between edge hardware and device intelligence now coming to fruition.