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Engineers develop bio-machine nose that can “sniff” and classify odors

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Engineers from Brown University in Rhode Island have invented a small, low-cost sensor device which is able to classify odors using input from a mimicked “sniffing” action. It’s called TruffleBot, and it’s here to raise the bar on electronic “noses”. It also works with Raspberry Pi, an inexpensive mini-computer popular with electronics hobbyists, students, and others in the “maker” crowd.

Generally, an electronic nose is a device comprising several chemical sensors whose results are fed through a pattern-recognition system to identify odors. In traditional devices, the chemical responses alone are used for classification. The engineers behind this invention, however, decided to incorporate non-chemical data to account for the mechanics of the smell process used in nature for a better result. Their experiment proved successful with an approximate 95-98% rate of accuracy in identification compared to about 80-90% accuracy with the chemical sensors alone.

According to the inventors’ published paper, the guiding knowledge that made TruffleBot so useful in odor detection was this: Different smells have different impacts on the air around them, and measuring the variations enables more accurate identification. Did you know that beer odor decreases air pressure and increases temperature? The changes are slight, but TruffleBot can sense them.

This is where the “sniffing” comes in. The device uses air pumped through four obstructed pathways before sending it through chemical and non-chemical sensors. Odors impact the air surrounding them, and the movement of the air through obstacles (“sniffing”) enables the odors’ impact to be more accurately measured.

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A chart detailing how TruffleBot processes odors. | Credit: Brown University

So, where exactly would one need an electronic nose? Everywhere. Devices with the chemical sensing ability are being used in agriculture, military, and commercial applications to identify all sorts environmental data. Essentially, electronic noses are useful in any industrial application that has odor involved.

Nasal Marketing

Did you know that it’s possible to trademark a smell in the United States? It’s not easy to accomplish given the somewhat difficult requirements to meet, but a few such things exist. The fact that Play-Doh, a product whose smell is probably one of its most distinct features, was granted a trademark for the scent only this year is testament to the difficulty of obtaining such a mark. However, the fact that some companies have found enough incentive to make sure only their company can give your nose a particular chemical experience tells a lot about that sense’s importance from a marketing perspective.

On one hand, utilizing smell in marketing might seem a little manipulative. After all, creating an air freshener that reminds someone of a beloved, deceased relative on purpose might not seem like a particularly ethical way to target their money. On the other hand (or bigger picture), however, the motivation for marketers to use scent as a tool involves a sort of “chicken or the egg” question.

To summarize part of an article in the journal Sensors on the role scent plays in society and commerce, the aroma of products has a direct impact on their appeal to customers and thus, the success of the product. In fact, a change in a product’s formula that impacts its smell can, and often has had, devastating sales results. In other words, it’s not enough for a company to create a good product; it has to be a good smelling product.

Hacking the Human Nose

It’s probably no surprise that the commercial industry has categorized consumer preferences when it comes to smells. As the first sense fully developed after birth, our noses link us to things like memories, emotions, and chemical communication (think pheromones). Is it any wonder, then, why businesses might be interested in the functionality of the organ that is doing the receiving?

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Turns out, there’s an enormous amount of science behind “hacking” a nose. Identifying smells is more than just categorizing chemical mixtures as “floral” or “masculine”. The multitude of chemical combinations available generates such a vast amount of data that scientists have implemented computer neural networks to analyze and classify it. Also, the actual mechanics of smelling something impacts the way the smell is received and processed in the brain. Computers and scientific instruments come in handy there as well. To really get to the core of human response to an aroma, lots of non-human tools are needed, and this is essentially where the TruffleBot fits in the greater realm of “olfactory” science.

I think this is a Sumerian variant for “fruity”. | Credit: AstroJane’s bathroom collection.

More Than Just Your Money

Perhaps one of the most innovative uses found for electronic noses is in disease research. One of the limitations of human smell is its overall weakness. A dog’s sense of smell is around 40 times better than a human’s, and a bear’s is a whopping 2,100 times superior to ours. That said, when researchers learned that certain diseases give off certain odors, the human nose wasn’t exactly the first choice to utilize in sensing them.

An electronic nose makes good use of the simple fact that organic matter releases chemicals into the air. For example, when a plant has been impacted by a fungus, the changes brought on in the plant’s structure release what’s called “volatile organic compounds” (VOCs). These VOCs can be detected by the sensors in an electronic nose and then provide information on the type of disease present without destroying the plants being tested.

Humans have some amazing things to gain from electronic noses, too. Using sensors to process odors from VOCs, things like digestive diseases, kidney diseases, and diabetes, among many others,  are all receiving scientific attention for non-invasive diagnosis by these types of devices. With improvements brought on by inventions like TruffleBot, especially combined with its low-cost and resulting accessibility, a future involving remote diagnoses for any number of illnesses and diseases seems more possible every day.

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Accidental computer geek, fascinated by most history and the multiplanetary future on its way. Quite keen on the democratization of space. | It's pronounced day-sha, but I answer to almost any variation thereof.

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Tesla avoids California sales suspension after DMV review

The agency confirmed Tuesday that Tesla has taken “corrective action.”

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(Credit: Tesla)

Tesla will not face a 30-day sales suspension in California after the state’s Department of Motor Vehicles (DMV) stated that the company has come into compliance regarding the marketing of its automated-driving features. 

The agency confirmed Tuesday that Tesla has taken “corrective action” following a prior ruling over how it promoted Autopilot and Full Self-Driving (FSD), as noted in a Bloomberg News report.

The California DMV had previously given Tesla 90 days to address concerns that were raised by an administrative judge. Regulators had alleged that Tesla overstated the capabilities of its driver-assist systems, which were branded as Autopilot and Full Self-Driving.

A potential 30-day suspension of vehicle sales in California was on the table if Tesla had failed to comply. On Tuesday, however, the DMV stated that Tesla had met the requirements to avoid that penalty, though it did not provide detailed specifics about the changes that were made.

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That being said, Tesla did discontinue its standalone Autopilot product in January and has ramped the marketing of its most advanced driver-assistance package available to consumers today, Full Self Driving (Supervised). From its naming, FSD (Supervised) clearly emphasizes that the system, despite its advanced features, still requires driver attention.

Following reports of a potential sales ban in California, Tesla clarified the matter on X, stating that the issue “was a ‘consumer protection’ order about the use of the term ‘Autopilot’ in a case where not one single customer came forward to say there’s a problem.” Tesla also noted that “Sales in California will continue uninterrupted.”

Tesla has not issued a comment about the matter as of writing.

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Elon Musk confirms Tesla Cybercab pricing and consumer release date

Elon Musk has confirmed that Tesla does intend to sell a version of the Cybercab for less than $30,000 by 2027.

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Credit: @AdanGuajardo/X

Elon Musk has confirmed that Tesla does intend to sell a version of the Cybercab for less than $30,000 by 2027. He shared the update in a post on social media platform X. 

Amidst Tesla’s announcement that the first Cybercab has been produced at Giga Texas’ production line, some members of the Tesla community immediately started joking about how the milestone will affect a wager shared by popular YouTube tech reviewer Marques Brownlee (MKBHD.) 

Following Tesla’s We, Robot event in October 2024, MKBHD noted that while the Cybercab was impressive in a lot of ways, he is very skeptical about Elon Musk’s estimate that the autonomous two-seater could be sold to consumers for below $30,000 around 2027. 

“I think the obvious red flag, the biggest red flag to me is the timeline stuff. This is notorious Elon stuff. He gets on stage, he says we’re going to have this vehicle out for $30,000 before 2027,”  he said, adding “No, they’re not. There’s just no way that they’re actually going to be able to do that. I mean, if they do, let’s say they do, I will shave my head on camera because I’m that confident.”

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It was then no surprise that meme images of MKBHD with his head shaved immediately spread on X following Tesla’s announcement that the first Cybercab has been built at Giga Texas. One of these, which was posted by longtime FSD tester Whole Mars Catalog, received a response from Elon Musk. The CEO responded with the words “Gonna happen,” together with a laughing emoji. 

Apart from riding jokes about MKBHD’s wager, Musk also confirmed that Tesla will be selling a Cybercab to regular consumers before 2027, and the vehicle will be priced for $30,000 or less. In response to an X user who asked if the exact scenario will be happening, Musk responded with a simple “Yes.” 

While the first Cybercab has been produced at Giga Texas, it would not be surprising if the following months will only see low volumes of the autonomous two seater being produced. As per Elon Musk in previous comments, the Cybercab’s early production will likely be slow, but it will eventually be extremely fast. “For Cybercab and Optimus, almost everything is new, so the early production rate will be agonizingly slow, but eventually end up being insanely fast,” he said. 

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First Tesla Cybercab rolls off Giga Texas production line

Tesla’s official account on X shared an image showing employees gathered around the first Cybercab built at Gigafactory Texas.

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Credit: Tesla/X

Tesla has produced the first Tesla Cybercab at Texas Gigafactory, marking a key milestone ahead of the planned autonomous two-seater’s production in April. The two-seat Robotaxi, which was unveiled in 2024, is designed without pedals or a steering wheel and represents Tesla’s most aggressive step yet toward fully autonomous mobility.

Tesla’s official account on X shared an image showing employees gathered around the first Cybercab built at Gigafactory Texas. Elon Musk echoed the milestone, writing, “Congratulations to the Tesla team on making the first production Cybercab!”

Previous comments from Musk on X reiterated the idea that production of the Cybercab “starts in April.” The vehicle will launch without traditional driver controls, and it will rely entirely on Tesla’s vision-based Full Self-Driving (FSD) system.

The Cybercab is positioned to compete with autonomous services such as Waymo. While Tesla has deployed Model Y vehicles in limited Robotaxi operations in Austin and the Bay Area, a serious ramp of the service to other cities across the United States is yet to be implemented. The production of the Cybercab could then be seen as a push towards the company’s autonomy plans.

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Musk has linked the Cybercab to Tesla’s proposed “Unboxed” manufacturing process, which would assemble large vehicle modules separately before integrating them, rather than following a traditional production line. The approach is intended to cut costs, reduce factory footprint, and speed up output.

That being said, Elon Musk has set expectations for the Cybercab’s production ramp. As per Musk, it would likely take some time before meaningful volumes of the Cybercab are produced because it is such a new and different vehicle. But when the vehicle hits its pace, volumes will be notable. 

“Initial production is always very slow and follows an S-curve. The speed of production ramp is inversely proportionate to how many new parts and steps there are. For Cybercab and Optimus, almost everything is new, so the early production rate will be agonizingly slow, but eventually end up being insanely fast,” Musk noted.

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