My Running Tests Left Me Feeling Like the Moto Watch Is Low-Key Catfishing


The Moto Watch feels like a kid trying their hardest to stand out in a sport, only to walk away with a participation trophy. Having spent years reviewing pricey fitness trackers and smartwatches, I know how rare it is for a relatively affordable $150 device to arrive with real fitness credibility, so I was genuinely rooting for this one. When Motorola announced a partnership with Polar, along with dual-band GPS and week-long battery life at this price, it sounded like a breakthrough moment. I thought this could be Motorola’s big return to relevance in wearables.

Then I actually used it for a few weeks and reality set in.

Motorola isn’t a stranger to this space. The Moto 360 helped define early Android wearables back in 2014, and made a strong impression doing so. But the years since have been relatively slow on its wearables front. This new Moto Watch is its most serious attempt at breaking through the space in a while, and the Polar partnership gives it a level of fitness-tracking street cred that’s rare at this price.

But theory and execution don’t quite align here. At $150, the Moto Watch isn’t trying to compete directly with higher-end wearables from Samsung or Google; rather, it’s trying to carve out a league of its own with this big-screen 47mm watch. And it’s no home run — yet.

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The Moto Watch has a metal frame and rotating crown that can be used to navigate the screen. 

Vanessa Hand Orellana/CNET

The Polar partnership, tested

The Polar integration is the headline feature that had me excited to put it through the paces. The brand is synonymous with accuracy among serious endurance athletes, and its H10 chest strap is the gold standard we reach for at CNET for heart rate benchmarking on other devices.

So I took both to a college track — three miles (12 laps) — with the watch unpaired from my phone and the chest strap recording simultaneously for comparison. The watch consistently kept up, but I noticed it struggled to keep pace during my sprints.

The workout summaries showed similar numbers, which is why I prefer exporting the raw, second-by-second heart rate data to get more granular. The Polar app makes it easy to export a spreadsheet of your HR data, but the Moto Watch is running it’s own app, and there was no export option. I had to settle for comparing the snapshot of metrics that I got from the workout summary. 

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The Moto Watch workout summary vs. the heart rate metrics from the Polar H10 chest strap. 

Vanessa Hand Orellana/CNET

The graphs looked similar at first glance, with matching peaks and valleys during the laps when I picked up my pace. The average heart rate was only one beat off from the chest strap. But the watch seemed to smooth out the spikes, and the max heart rate was off by seven beats (173 bpm on the watch versus 180 bpm on the chest strap). That kind of gap is pretty standard for wrist-based tracking, which measures blood flow rather than the heart’s electrical signals. Still, you may not be getting full credit for your effort if you plan to use this as a serious training tool.

Distance tracking was another reality check. Dual-band GPS is usually reserved for higher-end sports watches, so I had high hopes that the Moto Watch would be right on track. It took a while to lock onto a satellite and dropped connection more than once during my 30-minute run. By the end, it had given me 0.15 miles of extra credit. That’s about a 5% error rate, which sounds small until you’re training for a half-marathon and your long runs keep coming back inflated. It’s fine for casual activity tracking, but this is no Garmin replacement.

Health features

Away from the track, the Polar integration holds up better. The watch monitors heart rate, blood oxygen and stress levels throughout the day, though it lacks more advanced features such as ECG or temperature tracking. Wear it to bed (if you can) and you’ll get sleep stages plus a Nightly Recharge Status, Polar’s version of a recovery or readiness score that can help guide training intensity.

But it’s just too bulky to wear comfortably while sleeping. I only wore it to bed once during my month-long testing journey because I felt like the larger size got in the way of my sleep quality. Admittedly, I’m averse to sleeping with accessories on; I don’t even wear my wedding ring to bed. Testing wearables always means making a few concessions, but the Moto Watch just didn’t make the cut for what I’m willing to put up with. It’s definitely more Garmin Fēnix 8 Pro level bulk than Pixel Watch, which I’m ok wearing to bed. 

Moto Watch Motorola

Motorola’s new Moto Watch looks massive at 47mm. 

Motorola

Design: It screams ‘bro’

Motorola positioned this watch as the Clark Kent of smartwatches: a fitness watch cloaked in a polished suit that can go from sweat session to the boardroom. That was the pitch. What landed on my desk, was a different picture with much less polish than I had envisioned. Strapping it on only made matters worse, because it’s 47mm watch looked (and felt) as if it had swallowed my 6.5-inch wrist.

The 1.43-inch OLED touchscreen wasn’t the problem — that was the bright spot. It’s more responsive and more vivid than you’d expect at this price, with slim bezels thanks to a cleverly positioned dial.

You also get a rotating crown for scrolling or clicks, plus a programmable side button. The aluminum case looks polished, too, but it’s easy to miss. The oversized black silicone straps run straight into the frame with no visual break, making the whole thing look like one continuous slab.

Turns out all it needed was a stylist. The desperation of having to wear this thing for weeks put me in problem-solving mode, and I realized the straps were standard width (22mm) and easily swappable with third-party bands you can buy anywhere. Once I switched them, it finally looked like the watch Motorola had sold me. It still screamed “bro,” but it was board room bro.

Moto Watch Motorola

The Moto Watch with its stock sports strap (top) vs. a sleeker imitation leather upgrade (bottom).

Vanessa Hand Orellana/CNETc

A battery that just won’t quit  

After a three-mile outdoor run with GPS active and no phone, plus a full day of notifications popping up on its always-on display, most flagships would be down to their last breath, but not the Moto Watch. This smartwatch barely broke a sweat and finished the day at 85% battery. 

With the always-on display (and no sleep tracking), I made it a full week on a full charge. Switch the screen activation from always-on to raise to wake and Motorola promises it will last 13 days, which I didn’t test, but it seems totally feasible. This is impressive even by sports watch standards.

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The battery life on the Moto Watch rivals even the longest lasting sports watches. 

Vanessa Hand Orellana/CNET

For the right person, battery life alone could be the reason to buy this. 

Watch this: Apple Watch vs. Oura Ring: The One Feature That Tipped the Scale

App, setup and smartwatch functionality

Out of the box, the watch has notifications turned off and set to raise to wake (probably to help get you to the promised 13 days of battery life). And while that might work for some people, I spent most of my first day wondering why nothing was happening on my wrist. If you like to get a heads-up on what’s going on in your phone, I suggest you dig into settings before you start wearing it.

I was skeptical because the watch runs on Motorola’s proprietary software rather than Android’s Wear OS, though it seems like a very bare-bones knockoff. Text previews come through, call notifications work and basic alert handling is fine. But there are a lot of trade-offs that left me wondering why they went rogue in the first place, especially because it still only works with Android phones. It doesn’t support message replies from the wrist, Google Assistant, NFC payments or much of a third-party app ecosystem. For replacing quick glances at your phone notifications, it works. For anyone hoping to actually interact with their phone from their wrist or use their smartwatch to pay for riding a train, it falls short.

The phone app combines health and technical features into one interface, which takes some getting used to, but it ultimately works. It’s a hybrid of Fitbit’s health widget layout and Apple’s activity ring system — almost a blatant borrow, but an effective one for visualizing daily steps, active minutes and calories.

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The 47mm Moto Watch looks large on my 6.5″ wrist. 

Vanessa Hand Orellana/CNET

A pricing identity crisis

The Moto Watch is priced to feel like a deal: stellar battery life, dual-band GPS, Polar-backed tracking, blood oxygen, sleep stages and a screen that outperforms its price. On a spec sheet, it punches above its weight.

But $150 is a tricky number. It’s not cheap enough to be an obvious budget pick, and it’s not capable enough to compete at Polar-level performance. The sensor limitations and lack of data export put a ceiling on what that partnership can actually deliver.

Instead, it sits at an awkward intersection, more of a first attempt at carving out something in between. The bones are good. The execution needs work.

Who is this for?

If you’re an Android phone owner who wants sportswatch-level battery life in a sleeker package, this one might be worth a second glance. It’s best suited for casual fitness trackers who want a watch that covers the basics. Serious athletes will want something more precise.

But deal-seekers could be better off with the $160 Fitbit Charge 6 for its additional features or one of the truly budget watches made by Amazfit such as the Bip 6 and Active 2. Style options are limited, and there’s no cycle tracking, so it’s also less appealing for women looking for those features.





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What Is Artificial Intelligence?

Artificial intelligence, one of today’s burgeoning computer science technologies, is poised to usher in a new era of global change by giving rise to clever machines. Artificial intelligence has become pervasive in our world. It is currently engaged in a wide range of subfields, from the general to the specialized, including self-driving cars, chess play, theorem proving, music performance, painting, etc. What is it then?

Artificial intelligence is really a technique for teaching a computer, a robot operated by a computer, or software to think critically and creatively like a human mind. AI is achieved through examining the cognitive process and researching the patterns of mankind’s brain. These research projects produce systems and software that are intelligent. It can therefore be defined as a field of computer science that allows us to build intelligent machines capable of thinking and acting like people

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Why Artificial Intelligence

Future possibilities have been hinted at multiple times by artificial intelligence. The key advantages of learning AI are as follows:

  • AI aids in managing, analyzing, and generating useful information for future decision-making from a massive volume of data.
  • Nearly every facet of society benefits from AI, including healthcare, education, transportation, decision-making, cybersecurity, and better workplaces and homes.
  • AI contributes to a better user experience that makes it easier to utilize gadgets and applications.
  • AI is a rewarding job option with limitless future potential.
  • In general, AI will deliver more solutions that are optimized for people and businesses to support them in each and every decision.
  • You will be able to question established working practices and alter your general worldview thanks to AI. You could advance your career by emphasizing your desire for positive change and your enthusiasm to master the most recent technologies.

Realted Article: History of Artificial Intelligence

Types of Artificial Intelligence

Based on its capabilities & functionalities, artificial intelligence may be divided into several types. Let’s go through each category one at a time.

Artificial Intelligence Types—Based on Capabilities

Based on its capabilities, Artificial intelligence can be described into 3 categories:

1.Narrow AI

One particular application of artificial intelligence is called ANI. Among the most prevalent varieties of AI are now in use. ANI is also referred to as a weaker AI because it lacks the intelligence to perform tasks on its own outside of its capabilities. Self-driving automobiles, chess-playing computers, image recognition, voice recognition, and purchase recommendations on e-commerce websites are some examples of ANI. However, each ANI contributes to the building of strong Artificial Intelligence.

Following are a few ANI examples:

  • An ANI that operates within a constrained, specified range is Apple’s Siri. It frequently struggles with things that are outside of its capabilities.
  • Another ANI that uses Machine Learning (ML), natural language processing, as well as cognitive computing to process data and provide answers is IBM Watson.
  • Google Translate, recommendation systems, picture recognition software, Google’s page-ranking algorithm, & spam filtering are more examples of ANI.
2.General AI

AGI is a sort of artificial intelligence that can reason and act in ways akin to humans. Making a system intelligent and capable of acting like a person on its own is the goal of AGI. Although they do not yet exist, researchers are concentrating on creating machines based on AGI.

The following list of AGI examples includes:

  • One of the most popular experiments towards AGI is the Fujitsu K computer. One second of brain activity may be simulated in just about 40 minutes.
  • Tianhe-2, a supercomputer, has a record of 33.86 petaflops, or quadrillions of clock cycles per second (calculations per second). Although it seems impressive, the human brain is efficient enough to do much more—one exaflop, or a billion clock cycles every second.
3.Super AI

Theoretically, ASI is smarter than humans. It is more adept at performing jobs than people. According to this theory, AI has advanced to the point where it is comparable to human emotions & experiences, i.e., it elicits its own emotions, ideas, needs, and desires.

  • Thinking, taking decisions on their own, solving puzzles, and forming judgments are some of ASI’s essential qualities.
  • AI that surpasses human intelligence and enables machines to execute any task more effectively than people is known as ASI.
  • ASI also referred to as powerful AI, has the capacity to think, plan, learn, communicate, solve riddles, and make decisions.
  • There isn’t a good example of ASI at the moment. However, since several industrial titans are concentrating on creating powerful AI, ASI will soon come to life.
     

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Artificial Intelligence Types—Based on Functionalities

Artificial Intelligence can be categorized as follows, based on its Functionalities:

 1.Reactive Machines
  • Reactive machines are the earliest and most fundamental sort of artificial intelligence. They make decisions in a reactionary manner, not drawing on memories from the past.
  • Reactive machines use a computer system to perceive the environment and take appropriate action.
  • Reactive machines concentrate only on the current situation, which they then respond to.
  • Reactive robots, according to artificial intelligence expert Rodney Brooks, are limited to performing the specific tasks they are given to them because they have no concept of the outside world.
  • Google’s AlphaGo and IBM’s Deep Blue Systems are two examples of reactive machines.
  2.Limited Theory
  •  Machines with limited memory can make decisions by learning from past data.
  • The data kept in the little memory, however, can only be accessed for a short while.
  • Virtual assistants like Siri, self-driving cars, and chatbots are a few instances of computers with a small amount of memory.

Self-driving cars employ artificial intelligence with a small amount of memory. It keeps track of how a certain vehicle is moving around other cars both right now and over time. The static data of an artificial intelligence device, such as lane markings and traffic signals, are then supplemented with the acquired data.

Such information can assist a vehicle in making decisions on lane changes and avoiding cutting off other traffic. The goal of Mitsubishi Electric has been to advance this technology for autonomous vehicles.

3.Theory of Mind

The theory of mind interacts in a way that takes into account its understanding of people, animals, sentiments, & objects in the world. This artificial intelligence is the least evolved of all the categories. However, some scholars are working hard to create it.

Theory-of-mind and the robot head Kismet, developed in the late 1990s by MIT researcher Dr. Cynthia Breazeal, are examples of real-world applications of AI. The ability of this robot head to replicate and identify human emotions is a crucial development in this technology. Kismet, however, is unable to track or direct attention toward people.

Sophia from Hanson Robotics is another example of this sort of artificial intelligence in action. Sophia can see thanks to the cameras in her eyes and the computer algorithms that control them. She was now able to maintain eye contact, identify people, and follow faces.

4.Self-awareness
  • Self-awareness is regarded as the pinnacle of artificial intelligence’s evolution.
  • Machines are conscious and aware of themselves.
  • Self-aware machines will have greater intelligence than people.
  • Such machines do not already exist; as of yet, this is just a theoretical idea.

Self-aware AI might be able to recognize human emotions in addition to comprehending its own conditions, features, and states. These artificially intelligent machines would not only be able to recognize and arouse emotions in those with whom they engage, but will also have their own emotions, beliefs, and desires.

Importance of Artificial Intelligence

The importance of AI may be summarised as follows:

  • Repetitive learning and data-driven discovery are automated by AI. Artificial intelligence is capable of reliably completing repetitive, high-volume, automated tasks without getting tired.
    Existing products gain intelligence thanks to AI. Most of the time, AI would not be offered as a standalone application. As with Google Assistant, which was given as functionality to a new era of mobile phones, AI capabilities will instead be applied to items you already are using to better them.
  • AI adapts by using algorithms for progressive learning, which allow the data to do the programming. The algorithm transforms into a predictor or a classifier. The algorithm can therefore educate itself on how to play any activity and can also learn what goods to recommend online next.
  • AI uses neural networks with numerous hidden layers to interpret more and more data. Deep learning models require a large amount of data because they derive their knowledge straight from the data. They get more accurate the more data one can supply them.

Applications of Artificial Intelligence

he following are some of the most widespread commercial implementations of AI in actual applications:

Algorithms are employed in the finance industry to distinguish between fraudulent and legitimate activity by tracking user behavior for outlays, logins, or shady transactions.

  • AI bots are now employed in customer support to manage consumer inquiries and provide answers to frequently asked concerns. 
  • Combining Al and ML technology, algorithms in cyber security may now anticipate anomalies, identify dangers to protect against by studying previous attacks, and even alert the system for upcoming alerts.
  • AI is transforming virtual assistants by using voice recognition tools like Alexa, Siri, Google Voice, and Cortana to directly accept user orders.
  • The usage of AI in our current era is highlighted by Tesla’s Autopilot and Google Driverless Cars, particularly in automation. Elon Musk has even continued to claim that AI-powered driverless vehicles will be able to forecast customers’ destinations based on their past behavior.
  • One industry that has solely benefited from the application of AI is robotics. Industries all around the world are constantly looking for ways to improve the tasks carried out by these automated machines
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Goals of Artificial Intelligence
  1. The following are artificial intelligence’s primary objectives:
  2. Replicate the intellect of humans
  3. Deal with knowledge-intensive problems
  4. Building a thoughtful relationship between perception and action
  5. Creating a machine that can carry out jobs that call for human intelligence, like:
            a.Build a theorem’s proof
            b.Playing chess
            c.Plan a surgical procedure
            d.Driving while in the midst of traffic
  6. Developing a system that can behave intelligently, pick up new skills on its own, show, explain, and give advice to its user.
Recommended Audience

This tutorial has been prepared while keeping in mind the needs of a beginner in the domain. Hence, this is an elementary-level tutorial meant for individuals aspiring to embark on the journey of Artificial Intelligence and comes with an easy guide to make you feel more at ease.

Prerequisites

You should have a basic understanding of information technology, be comfortable using the Internet and computers and have a working understanding of data before beginning this Artificial Intelligence tutorial. These fundamentals will aid in your understanding of AI ideas and enable you to advance more quickly through your learning process.

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 Conclusion

We have always found technical advancements to be fascinating. Presently, we are experiencing the greatest AI developments in history. This has not only affected the future of every industry, but it has also served as a catalyst for new technologies like big data, robotics, and the IoT. There is no doubt that AI will continue to grow in the future at the rate at which it is developing. As a result, as of 2022, AI is a fantastic field to kickstart your career. The demand for qualified AI professionals in this field will increase as AI and related technologies advance.

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