Technologies

TMR vs. Hall Effect Controllers: Battle of the Magnetic Sensing Tech

The magic of magnets tucked into your joysticks can put an end to drift. But which technology is superior?

Competitive gamers look for every advantage they can get, and that drive has spawned some of the zaniest gaming peripherals under the sun. There are plenty of hardware components that actually offer meaningful edges when implemented properly. Hall effect and TMR (tunnel magnetoresistance or tunneling magnetoresistance) sensors are two such technologies. Hall effect sensors have found their way into a wide variety of devices, including keyboards and gaming controllers, including some of our favorites like the GameSir Super Nova.

More recently, TMR sensors have started to appear in these devices as well. Is it a better technology for gaming? With multiple options vying for your lunch money, it’s worth understanding the differences to decide which is more worthy of living inside your next game controller or keyboard.

How Hall effect joysticks work

We’ve previously broken down the difference between Hall effect tech and traditional potentiometers in controller joysticks, but here’s a quick rundown on how Hall effect sensors work. A Hall effect joystick moves a magnet over a sensor circuit, and the magnetic field affects the circuit’s voltage. The sensor in the circuit measures these voltage shifts and maps them to controller inputs. Element14 has a lovely visual explanation of this effect here.

The advantage this tech has over potentiometer-based joysticks used in controllers for decades is that the magnet and sensor don’t need to make physical contact. There’s no rubbing action to slowly wear away and degrade the sensor. So, in theory, Hall effect joysticks should remain accurate for the long haul.

How TMR joysticks work

While TMR works differently, it’s a similar concept to Hall effect devices. When you move a TMR joystick, it moves a magnet in the vicinity of the sensor. So far, it’s the same, right? Except with TMR, this shifting magnetic field changes the resistance in the sensor instead of the voltage.

There’s a useful demonstration of a sensor in action here. Just like Hall effect joysticks, TMR joysticks don’t rely on physical contact to register inputs and therefore won’t suffer the wear and drift that affects potentiometer-based joysticks.

Which is better, Hall effect or TMR?

There’s no hard and fast answer to which technology is better. After all, the actual implementation of the technology and the hardware it’s built into can be just as important, if not more so. Both technologies can provide accurate sensing, and neither requires physical contact with the sensing chip, so both can be used for precise controls that won’t encounter stick drift. That said, there are some potential advantages to TMR.

According to Coto Technology, who, in fairness, make TMR sensors, they can be more sensitive, allowing for either greater precision or the use of smaller magnets. Since the Hall effect is subtler, it relies on amplification and ultimately requires extra power. While power requirements vary from sensor to sensor, GameSir claims its TMR joysticks use about one-tenth the power of mainstream Hall effect joysticks. Cherry is another brand highlighting the lower power consumption of TMR sensors, albeit in the brand’s keyboard switches.

The greater precision is an opportunity for TMR joysticks to come out ahead, but that will depend more on the controller itself than the technology. Strange response curves, a big dead zone (which shouldn’t be needed), or low polling rates could prevent a perfectly good TMR sensor from beating a comparable Hall effect sensor in a better optimized controller.

The power savings will likely be the advantage most of us really feel. While it won’t matter for wired controllers, power savings can go a long way for wireless ones. Take the Razer Wolverine V3 Pro, for instance, a Hall effect controller offering 20 hours of battery life from a 4.5-watt-hour battery with support for a 1,000Hz polling rate on a wireless connection. Razer also offers the Wolverine V3 Pro 8K PC, a near-identical controller with the same battery offering TMR sensors. They claim the TMR version can go for 36 hours on a charge, though that’s presumably before cranking it up to an 8,000Hz polling rate — something Razer possibly left off the Hall effect model because of power usage.

The disadvantage of the TMR sensor would be its cost, but it appears that it’s negligible when factored into the entire price of a controller. Both versions of the aforementioned Razer controller are $199. Both 8BitDo and GameSir have managed to stick them into reasonably priced controllers like the 8BitDo Ultimate 2, GameSir G7 Pro and GameSir Cyclone 2.

So which wins?

It seems TMR joysticks have all the advantages of Hall effect joysticks and then some, bringing better power efficiency that can help in wireless applications. The one big downside might be price, but from what we’ve seen right now, that doesn’t seem to be much of an issue. You can even find both technologies in controllers that cost less than some potentiometer models, like the Xbox Elite Series 2 controller.

Caveats to consider

For all the hype, neither Hall effect nor TMR joysticks are perfect. One of their key selling points is that they won’t experience stick drift, but there are still elements of the joystick that can wear down. The ring around the joystick can lose its smoothness. The stick material can wear down (ever tried to use a controller with the rubber worn off its joystick? It’s not pleasant). The linkages that hold the joystick upright and the springs that keep it stiff can loosen, degrade and fill with dust. All of these can impact the continued use of the joystick, even if the Hall effect or TMR sensor itself is in perfect operating order.

So you might not get stick drift from a bad sensor, but you could get stick drift from a stick that simply doesn’t return to its original resting position. That’s when having a controller that’s serviceable or has swappable parts, like the PDP Victrix Pro BFG, could matter just as much as having one with Hall effect or TMR joysticks.

Technologies

Google races to put Gemini at the center of Android before Apple’s AI reboot

Google is using its latest Android rollout to position Gemini as the AI layer across phones, Chrome, laptops and cars.

Google is using its latest Android rollout to make Gemini less of a chatbot and more of an operating layer across the phone, browser, car and laptop, just weeks before Apple is expected to show its own Gemini-powered Apple Intelligence reboot at WWDC.
Ahead of its Google I/O developer conference next week, the company previewed a number of Android updates, including AI-powered app automation, a smarter version of Chrome on Android, new tools for creators, a redesigned Android Auto experience, and a sweeping set of new security features.
Alphabet is counting on Gemini to help Google compete directly with OpenAI and Anthropic in the market for artificial intelligence models and services, while also serving as the AI backbone across its expansive portfolio of products, including Android. Meanwhile, Gemini is powering part of Apple’s new AI strategy, giving Google a role in the iPhone maker’s reset even as it races to prove its own version of personal AI on the phone is further along.
Sameer Samat, who oversees Google’s Android ecosystem, told CNBC that Google is rebuilding parts of Android around Gemini Intelligence to help users complete everyday tasks more easily.
“We’re transitioning from an operating system to an intelligence system,” he said.
As part of Tuesday’s announcements. Google said Gemini Intelligence will be able to move across apps, understand what’s on the screen and complete tasks that would normally require a user to jump between multiple services. That means Android is moving beyond the traditional assistant model, where users ask a question and get an answer, and acting more like an agent.
For instance, Google says Gemini can pull relevant information from Gmail, build shopping carts and book reservations. Samat gave the example of asking Gemini to look at the guest list for a barbecue, build a menu, add ingredients to an Instacart list and return for approval before checkout.
A big concern surrounding agentic AI involves software taking action on a user’s behalf without permissions. Samat said Gemini will come back to the user before completing a transaction, adding, “the human is always in the loop.”
Four months after announcing its Gemini deal with Google, Apple is under pressure to show a more capable version of Apple Intelligence, which has been a relative laggard on the market. Apple has long framed privacy, hardware integration and control of the user experience as its advantages.
Google’s Android push is designed to show it can bring AI deeper into the device experience while still giving users control over what Gemini can see, where it can act and when it needs confirmation.
The app automation features will roll out in waves, starting with the latest Samsung Galaxy and Google Pixel phones this summer, before expanding across more Android devices, including watches, cars, glasses and laptops later this year.
The company is also redesigning Android Auto around Gemini, turning the car into another major surface for its assistant. Android Auto is in more than 250 million cars, and Google says the new release includes its biggest maps update in a decade and Gemini-powered help with tasks like ordering dinner while driving.
Alphabet’s AI strategy has been embraced by Wall Street, which has pushed the company’s stock price up more than 140% in the past year, compared to Apple’s roughly 40% gain. Investors now want to see how Gemini can become more central to the products people use every day.
WATCH: Alphabet briefly tops Nvidia after report of $200 billion Anthropic cloud deal

Technologies

Waymo recalls 3,800 robotaxis after glitch allowed some vehicles to ‘drive into standing water’

Waymo issued a voluntary recall of about 3,800 of its robotaxis to fix software issues that could allow them to drive into flooded roadways.

Waymo is recalling about 3,800 robotaxis in the U.S. to fix software issues that could allow them to “drive onto a flooded roadway,” according to a letter on the National Highway Traffic Safety Administration’s website.
The voluntary recall is for Waymo vehicles that use the company’s fifth and sixth generation automated driving systems (or ADS), the U.S. auto safety regulator said in the letter posted Tuesday.
Waymo autonomous vehicles in Austin, Texas, were seen on camera driving onto a flooded street and stalling, requiring other drivers to navigate around them. It’s the latest example of a safety-related issue for the Alphabet-owned AV unit that’s rapidly bolstering its fleet of vehicles and entering new U.S. markets.
Waymo has drawn criticism for its vehicles failing to yield to school buses in Austin, and for the performance of its vehicles during widespread power outages in San Francisco in December, when robotaxis halted in traffic, causing gridlock.
The company said in a statement on Tuesday that it’s “identified an area of improvement regarding untraversable flooded lanes specific to higher-speed roadways,” and opted to file a “voluntary software recall” with the NHTSA.
“Waymo provides over half a million trips every week in some of the most challenging driving environments across the U.S., and safety is our primary priority,” the company said.
Waymo added that it’s working on “additional software safeguards” and has put “mitigations” in place, limiting where its robotaxis operate during extreme weather, so that they avoid “areas where flash flooding might occur” in periods of intense rain.
WATCH: Waymo launches new autonomous system in Chinese-made vehicle

Technologies

Qualcomm tumbles 13% as semiconductor stocks retreat from historic AI-fueled surge

Semiconductor equities reversed sharply after a broad AI-driven advance, with Qualcomm suffering its worst day since 2020 amid inflation concerns and rising oil prices.

Semiconductor stocks fell sharply on Tuesday, reversing course after an extensive rally that had expanded the artificial intelligence investment theme well past Nvidia and driven the industry to unprecedented levels.

Qualcomm plunged 13% and was on track for its steepest single-day decline since 2020. Intel shed 8%, while On Semiconductor and Skyworks Solutions each lost more than 6%. The iShares Semiconductor ETF, which benchmarks the overall sector, fell 5%.

The sell-off came after a key gauge of consumer prices came in above forecasts, and as conflict in Iran pushed crude oil higher—prompting investors to shift away from riskier assets.

The preceding advance had widened the AI opportunity set beyond longtime industry leader Nvidia, which for much of the past several years had largely carried the market to new peaks on its own.

Explosive appetite for central processing units, along with the graphics processing units that power large language models, has sent chipmakers to all-time highs.

Market participants are wagering that the shift from AI model training to autonomous agents will lift demand for additional AI hardware. Among the beneficiaries are memory chip producers, which are raising prices as supply remains tight.

Micron Technology slid 6%, and Sandisk cratered 8%. Sandisk’s stock has surged more than six times over since January.