News

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

Published

7 years ago

October 29, 2018

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.

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?

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.

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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Dacia J. Ferris

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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News

NHTSA probes 2.9 million Tesla vehicles over reports of FSD traffic violations

The agency said FSD may have “induced vehicle behavior that violated traffic safety laws.”

Published

1 hour ago

October 9, 2025

Simon Alvarez

Credit: Whole Mars Catalog/YouTube

The U.S. National Highway Traffic Safety Administration (NHTSA) has opened an investigation into nearly 2.9 million Tesla vehicles over potential traffic-safety violations linked to the use of the company’s Full Self-Driving (FSD) system.

The agency said FSD may have “induced vehicle behavior that violated traffic safety laws,” citing reports of Teslas running red lights or traveling in the wrong direction during lane changes.

As per the NHTSA, it has six reports in which a Tesla with FSD engaged “approached an intersection with a red traffic signal, continued to travel into the intersection against the red light and was subsequently involved in a crash with other motor vehicles in the intersection.” Four of these crashes reportedly resulted in one or more major injuries.

The agency also listed 18 complaints and one media report which alleged that a Tesla operating with FSD engaged “failed to remain stopped for the duration of a red traffic signal, failed to stop fully, or failed to accurately detect and display the correct traffic signal state in the vehicle interface.”

Some complainants also alleged that FSD “did not provide warnings of the system’s intended behavior as the vehicle was approaching a red traffic signal,” as noted in a Reuters report.

Tesla has not commented on the investigation, which remains in the preliminary phase. However, any potential recall could prove complicated since the reported incidents likely involved the use of older FSD (Supervised) versions that have already been updated.

Tesla’s recent FSD (Supervised) V14.1 update, which is currently rolling out to drivers, is expected to feature significantly improved lane management, intersection handling, and overall driving accuracy, reducing the chances of similar violations. It should also be noted that Tesla maintains that FSD is a supervised system for now, and thus, is not autonomous yet.

While autonomous systems face scrutiny, NHTSA’s own data highlights a much larger danger on the road from human error. The agency recorded 3,275 deaths in 2023 caused by distracted driving due to activities like texting, talking, or adjusting navigation while operating a vehicle manually. It is also widely believed that a good number of traffic violations are unreported due to their frequency and ubiquity.

News

Tesla quietly files for Model Y+ in China, and its range numbers could be wild

The upcoming variant was listed in the Ministry of Industry and Information Technology’s (MIIT) public catalog.

Published

2 hours ago

October 9, 2025

Simon Alvarez

Credit: Tesla

Tesla has filed for regulatory approval of a new Model Y+ in China, hinting at a long-range update to its best-selling crossover SUV.

The upcoming variant was listed in the Ministry of Industry and Information Technology’s (MIIT) public catalog.

Mirroring Model 3+ Range

Based on the MIIT’s catalog, the Model Y+ will feature a 225 kW/302 horsepower single-motor setup. It will also feature ternary LG Energy Solution batteries, similar to the long-range Model 3+, which was launched earlier this year. The vehicle is expected to offer around 800 kilometers of CLTC range, potentially making it the longest range Model Y in Tesla China’s lineup.

The new Model Y+, identified under model number TSL6480BEVBR0, retains the same five-seat configuration and dimensions as the current Model Y. Though Tesla has not yet confirmed official range figures, industry observers expect it to be quite similar to the Model 3+’s 830-kilometer CLTC performance, as noted in a CNEV Post report.

BREAKING 🚨 $TSLA files for Model Y+ (Long Range RWD version) in China 🔥

✅ The Model Y+ uses a single motor and batteries from LG Energy Solution, similar to the Model 3 variant with an 830-km range
✅ The Model Y+ is expected to be priced between the entry-level and Long… pic.twitter.com/sDzA1ngfnU— Ming (@tslaming) October 9, 2025

Intensifying Competition

Tesla’s filing comes amid intensifying domestic competition in China. The U.S. EV maker sold 57,152 vehicles in August, down nearly 10% year-on-year, though up almost 41% from July’s 40,617 units, as noted by data from the China Passenger Car Association (CPCA). Still, the Model Y+ could help Tesla regain traction against strong local players by offering class-leading range and improved efficiency, two factors that have become a trademark of the electric vehicle maker in China.

Tesla’s experience with the Model 3+, which received a RMB 10,000 price cut within a month of launch, suggests that raw range numbers alone may not guarantee stronger sales. With this in mind, the rollout of features such as FSD could prove beneficial in boosting the company’s sales in the country.

Elon Musk

‘I don’t understand TSLAQ:’ notable investor backs Tesla, Elon Musk

Published

18 hours ago

October 8, 2025

Joey Klender

(Credit: Tesla)

One notable investor that many people will recognize said today on X that he does not understand Tesla shorts, otherwise known as $TSLAQ, and he’s giving some interesting reasons.

Martin Shkreli was long known as “Pharmabro.” For years, he was known as the guy who bought the rights to a drug called Daraprim, hiked the prices, and spent a few years in Federal prison for securities fraud and conspiracy.

Shkreli is now an investor who co-founded several hedge funds, including Elea Capital, MSMB Capital Management, and MSMB Healthcare. He is also known for his frank, blunt, and straightforward responses on X.

His LinkedIn currently shows he is the Co-Founder of DL Software Inc.

One of his most recent posts on X criticized those who choose to short Tesla stock, stating he does not understand their perspective. He gave a list of reasons, which I’ll link here, as they’re not necessarily PG. I’ll list a few:

Fundamentals always have and will always matter
TSLAQ was beaten by Tesla because it’s “a great company with great management,” and they made a mistake “by betting against Elon.”
When Shkreli shorts stocks, he is “shorting FRAUDS and pipe dreams”

After Shkreli continued to question the idea behind shorting Tesla, he continued as he pondered the mentality behind those who choose to bet against the stock:

“I don’t understand ‘TSLAQ.’ Guy is the richest man in the world. He won. It’s over. He’s more successful with his 2nd, 3rd, and 4th largest companies than you will ever be, x100.

You can admit you are wrong, it’s just a feeling which will dissipate with time, trust me.”

i dont understand “$TSLAQ”. guy is the richest man in the world. he won. it’s over. he’s more successful with his 2nd, 3rd and 4th largest companies than you will ever be, x100.

you can admit you are wrong, it’s just a feeling which will dissipate with time, trust me. https://t.co/dkqrISCldp

— Martin Shkreli (@MartinShkreli) October 8, 2025