Apple Watch's new AI features are normalizing the idea that technology is always listening

I bet this happens also or will happen soon with other smart wearable devices and smartphones! This is only the beginning! This technology is still kind of experimental!

Generally speaking, if we want smart technology to support us in our daily lives, one has to allow continuous recording of our activities.

Like police officers' body cams this may make you a nicer person interacting with others. Smile, don't curse! Maybe this is just one benefit.

The concern that it may reduce interaction with others seems to be overblown.

According to this product review below, the new watch features seem to be kind of inconvenient/cumbersome to operate and allow only for a few seconds of recording.

" ...  its watches will now be able to process live audio and transcribe what was said. ...

Apple forged ahead in this area because it was afraid that another company, such as OpenAI, would soon introduce a competitive AI device of its own. ...

Already, recording devices have impacted the way people behave in real life, studies have shown, as has social media and data surveillance culture. Knowing you could be recorded at any time has a dampening effect on how you interact with others and engage in self-expression. ..."

Apple Watch's new AI features are normalizing the idea that technology is always listening | TechCrunch

This almost a silly if not counterproductive example for watches that cost $399 or $799.

Schools and Cell Phone Bans in the US

A controversial, but pertinent topic! In general, prohibition is in many cases the dumbest way to regulate!

Is there a smart way to integrate smartphones into K-12 education? I would think so.

Banning smartphone to prevent inappropriate photos and video recordings in restrooms, locker rooms etc. Should it not suffice to punish specifically those few students doing such things instead of banning all smartphones?

"Across the United States, cell phones seem to be causing issues for students and headaches for educators. That's why more than two dozen states have passed legislation restricting cell phone use in K–12 schools. Many school districts have rolled out their own bans, too. ...

What schools are doing: Nearly all K–12 schools that took part in the survey allow students to bring their phones to school. But two-thirds prohibit cell phone use from “bell to bell”—that is, during the entire school day. Other policies range from allowing cell phone use at teachers' discretion to all-out bans. ...

Sixty percent of youth support at least some limits on cell phones, mainly to cut down on distractions. But most are skeptical of bell-to-bell restrictions. ..."

"Cell phones are overwhelming K–12 schools. Teachers are pushing for cell phones to be removed from schools, citing constant disruptions to classroom instruction and concerns about what responsibility they might have for the content that students post while in their classrooms (Hatfield, 2024; Langreo, 2023; Walker, 2025).

School administrators are worried that cell phones have negatively affected students’ academic learning, mental health, and attention spans (National Center for Education Statistics, 2025). Beyond the impacts of cell phone use on student learning and mental health, cell phone and social media use have created a rash of safety problems for schools, including cyberbullying and threats (Moore et al., 2024; Vogels, 2022). ...

As of June 2025, 29 states have passed legislation restricting cell phone use in K–12 schools (Ballotpedia, undated), and many school districts in states with and without state-level policies have enacted their own cell phone policies. In fact, in a survey administered to school districts in spring 2025, nine in ten said that they now have some form of a cell phone policy  ..."

Policy Currents Newsletter: October 9, 2025 | RAND

Principals See Many Benefits of Cell Phone Policies, but Youth Remain Skeptical "Selected Findings from the American School Leader Panel and the American Youth Panel"

Figure 2. Percentage of Schools with Cell Phone Policies, by Grade Level

Figure 3. Percentage of Principals Reporting School Safety–Related Benefits or Drawbacks of Cell Phone Policies

Android Earthquake Alerts from your smartphone: A global system for early warning

Amazing stuff! Your smartphone a lifesafer!

"... turned the global network of Android smartphones into a powerful, pocket-sized earthquake detection system to help supplement official warnings systems. Over the last four years, the Android Earthquake Alerts system has detected thousands of earthquakes and sent alerts to millions of people in nearly 100 countries, often giving them the crucial moments they need to take cover before the shaking arrives.

Evaluation of thousands of earthquakes, analysis of specific earthquake examples and direct user feedback allows the system to continuously improve its performance in key areas, like magnitude estimation, making the alerts more effective over time. ...

The accelerometer in an Android phone, the same sensor that flips the screen when it’s turned sideways, can also detect the ground shaking from an earthquake. If a stationary phone detects the initial, faster-moving P-wave of an earthquake, it sends a signal to our earthquake detection server, along with a coarse location of where the shaking occurred.

The system then quickly analyzes data from many phones to confirm that an earthquake is happening and estimate its location and magnitude. The goal is to warn as many people as possible before the slower, more damaging S-wave of an earthquake reaches them. ..."

From the abstract:

"Earthquake early-warning systems are increasingly being deployed as a strategy to reduce losses in earthquakes, but the regional seismic networks they require do not exist in many earthquake-prone countries.

We use the global Android smartphone network to develop an earthquake detection capability, an alert delivery system, and a user feedback framework. Over 3 years of operation, the system detected an average of 312 earthquakes per month with magnitudes from M 1.9 to M 7.8 in Türkiye.

Alerts were delivered in 98 countries for earthquakes with M ≥4.5, corresponding to ~60 events and 18 million alerts per month.

User feedback shows that 85% of people receiving an alert felt shaking, and 36, 28, and 23% received the alert before, during, and after shaking, respectively. We show how smartphone-based earthquake detection algorithms can be implemented at scale and improved through post event analysis."

Android Earthquake Alerts: A global system for early warning "Using aggregated measurements from a global network of Android smartphones, we developed a system that detects earthquakes, delivers early warnings to users, and builds user trust with each successful alert."

Global earthquake detection and warning using Android phones (open access)

Fig. 1. Global distribution of earthquakes detected and alerted.

Handyverbot an Schulen in Niederlanden: Erfahrungen nach einem Jahr

Verbote sind oft sehr schlechte Massnahmen, wie in diesem Fall!

Handys sollten in den Unterricht integriert werden, wenn möglich! Handys könnten u.a. individuelles Lernen fördern.

Handyverbot an Schulen in Niederlanden: Erfahrungen nach einem Jahr "Mehr Konzentration und weniger Mobbing: Auch in der Schweiz und Deutschland wird der Ruf nach einheitlichen Regeln lauter. Die niederländischen Schüler haben plötzlich ungeahnte «Probleme»."

Smartphones and human interaction

There is widespread and serious concern that humans, in particular children, become too glued to their smartphones and thereby risk to neglect important human interactions.

Let's take dog owners for example. I can personally witness that some dog owners while taking out their dog have become so glued looking at their smartphone screen that they completely ignore a passersby even when greeted by a passerby.

In the past, owning a dog was supposedly a means for dog owners to get to know more people like neighbors, have a conversation or two with other pedestrians, and have their dog play with other dogs while walking the dog.

Why New Smartphone Releases No Longer Thrill Us with Palki Sharma

Recommendable! Do we really need a new smartphone every year? I am still using my Samsung S10 from 2019. Works fine!

Some NSA advice for your phone security

It probably does not hurt to go over this every so often!

To turn off and restart your phone once a week is probably one good idea to make sure things are erased, recent updates are fully activated etc. 

The NSA advises you to turn your phone off and back on once a week - here's why | ZDNET

Smartwatch AI predicts atrial fibrillation 30 minutes before it arrives

Good news! I bet there is more to come!

"AI trained on simple heart rate data can predict an episode of the most common heart rhythm disorder, atrial fibrillation, 30 minutes in advance, new research has shown. With plans for it to be incorporated into a smartphone so it can analyze data from a smartwatch, the model would act as an early warning system. ...

Researchers from the Luxembourg Center for Systems Biomedicine (LCSB) at the University of Luxembourg have published a study wherein they trained a deep-learning model to accurately predict, 30 minutes ahead of time, when a person will go into AF. ..."

"... “Another interesting aspect is that our model has a high performance using only R-to-R intervals, basically just heart rate data, that can be acquired from easy-to-wear and affordable pulse signal recorders such as smartwatches,” ..."

From the highlights and abstract:

"Highlights

• Predicts AF onset on average 30.8 min in advance on test data

• Achieves 83% accuracy and 85% F1 score on test data

• Uses R-to-R interval signals for monitoring, accessible via smartwatches

• Has the potential to lower interventions and costs by early AF detection

The bigger picture

Atrial fibrillation (AF), the most prevalent heart rhythm disorder, affects millions globally, leading to significant increases in stroke risk, heart failure, and healthcare expenses. These challenges underscore the need for innovative monitoring solutions. Wearable technology, coupled with artificial intelligence, will eventually enable continuous, real-time tracking of heart health and warn users of imminent danger. This paper shows that such a future is not far. Our research introduces a model, WARN, that harnesses R-to-R intervals, the intervals between successive heartbeats, from readily available smartwatches to issue early warnings of AF onset. By leveraging extensive long-term data of individual patients, we expect that WARN can be personalized to significantly improve the prediction horizon, offering a future where many patients might manage AF proactively with as-needed medication rather than routine daily doses, thereby optimizing treatment regimens and improving quality of life.

Summary

Atrial fibrillation (AF), the most prevalent cardiac rhythm disorder, significantly increases hospitalization and health risks. Reverting from AF to sinus rhythm (SR) often requires intensive interventions. This study presents a deep-learning model capable of predicting the transition from SR to AF on average 30.8 min before the onset appears, with an accuracy of 83% and an F1 score of 85% on the test data. This performance was obtained from R-to-R interval signals, which can be accessible from wearable technology. Our model, entitled Warning of Atrial Fibrillation (WARN), consists of a deep convolutional neural network trained and validated on 24-h Holter electrocardiogram data from 280 patients, with 70 additional patients used for testing and further evaluation on 33 patients from two external centers. The low computational cost of WARN makes it ideal for integration into wearable technology, allowing for continuous heart monitoring and early AF detection, which can potentially reduce emergency interventions and improve patient outcomes."

Smartwatch AI predicts atrial fibrillation 30 minutes before it arrives

Predicting arrhythmia 30 minutes before it happens (original news release)

Early warning of atrial fibrillation using deep learning (open access)

Graphical abstract

World’s smallest LED could turn your phone camera into a high-res microscope

Amazing stuff! Smartphones are getting smarter? Lab on a chip smartphone!

"... researchers from the Singapore-MIT Alliance for Research and Technology (SMART) who’ve developed the world’s smallest silicon light-emitting diode (LED) – at less than a micrometer wide – with an intensity comparable to much larger silicon LEDs. ...
Previous on-chip emitters have been difficult to integrate into standard complementary metal-oxide-semiconductor (CMOS) platforms. ...
Here, the researchers placed their tiny silicon LED in a 55 nm CMOS node alongside the other photonic and electronic components – all on one chip. ...
To test how their LED might be used in a real-world situation, they placed it into a lensless holographic microscope. Lensless microscopes are smaller than regular microscopes and less expensive because they don’t require complex, precise lens systems. ...

the researchers used a neural networking algorithm to reconstruct objects viewed by the holographic microscope. ...

The researchers found that their holographic lens provided more accurate high-resolution images than a regular optical microscope. ..."

From the abstract:

"A nanoscale on-chip light source with high intensity is desired for various applications in integrated photonics systems. However, it is challenging to realize such an emitter using materials and fabrication processes compatible with the standard integrated circuit technology. In this letter, we report an electrically driven Si light-emitting diode with sub-wavelength emission area fabricated in an open-foundry microelectronics complementary metal-oxide-semiconductor platform. The light-emitting diode emission spectrum is centered around 1100 nm and the emission area is smaller than 0.14 μm2 (~∅400

 nm). This light-emitting diode has high spatial intensity of >50 mW/cm2 which is comparable with state-of-the-art Si-based emitters with much larger emission areas. Due to sub-wavelength confinement, the emission exhibits a high degree of spatial coherence, which is demonstrated by incorporating the light-emitting diode into a compact lensless in-line holographic microscope. This centimeter-scale, all-silicon microscope utilizes a single emitter to simultaneously illuminate ~9.5 million pixels of a complementary metal-oxide-semiconductor imager."

World’s smallest LED could turn your phone camera into a high-res microscope Researchers have created the world’s smallest silicon LED and holographic microscope that opens up a wide range of potential applications, including turning your smartphone camera into a portable, high-resolution microscope.

SMART researchers create world’s smallest LED and holographic microscope that enable conversion of existing mobile phone cameras into high-resolution microscopes

A sub-wavelength Si LED integrated in a CMOS platform (open access)

Fig. 1: Device structure and emission spectra.

Would you buy a smart ring for your partner?

You'll be the judge! Ring with a heartbeat monitor?