News
Engineers develop bio-machine nose that can “sniff” and classify odors
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.
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?
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.
Elon Musk
Tesla says texting and driving capability is coming ‘in a month or two’
“In the next month or two, we’re going to look at the safety statistics, but we’re going to allow you to text and drive, essentially.”
Tesla CEO Elon Musk said that within the next month or two, the company will be able to open the ability for people to text and drive because its Full Self-Driving suite will be robust enough to allow drivers to take their attention away from the road.
In its current state, Tesla Full Self-Driving is a supervised driver assistance suite that requires the vehicle operator to maintain control of the vehicle and pay attention to the road surroundings.
However, the company has been aiming to release a fully autonomous version of the Full Self-Driving suite for years, teasing its future potential and aiming to release a Level 5 suite as soon as possible.
CEO Elon Musk believes the company is on the cusp of something drastic, according to what he said at yesterday’s Annual Shareholder Meeting.
One thing Musk hinted at was that the company should be able to allow those sitting in the driver’s seat of their cars to text and drive “in the next month or two,” as long as the statistics look good.
He said:
“In the next month or two, we’re going to look at the safety statistics, but we’re going to allow you to text and drive, essentially.”
The company recently transitioned to its v14 Full Self-Driving suite, which is its most robust to date, and recently expanded to Cybertruck, completing its rollout across the vehicle lineup.
Currently, Tesla is running v14.1.5, and when major improvements are made, that second number will increase, meaning v14.2 will be the next substantial improvement.
Musk said that v14.3 will be when you can “pretty much fall asleep and wake up at your destination.”
🚨🚨 Elon Musk says Tesla Full Self-Driving v14.3 will be when you can “pretty much fall asleep and wake up at your destination.”
We are on v14.1 currently 👀 pic.twitter.com/KMkWh5Qa7T
— TESLARATI (@Teslarati) November 6, 2025
We’ve heard a considerable amount of similar statements in the past, and Tesla owners have been conditioned to take some of these timeframes with autonomous driving with a grain of salt.
However, with the upgrades in FSD over the past few months, especially with the rollout of Robotaxi in Austin, which does not utilize anyone in the driver’s seat for local roads, it does not seem as if autonomy is that far off for Tesla.
News
Tesla Semi undergoes major redesign as dedicated factory preps for deliveries
The Semi has been one of the most anticipated products in the Tesla lineup due to the disruption it could cause in the trucking industry.
Tesla put its all-electric Semi truck through quite a major redesign as its dedicated factory for the vehicle is preparing for initial deliveries to the public starting next year.
The Semi has been one of the most anticipated products in the Tesla lineup due to the disruption it could cause in the trucking industry.
It has already been in numerous pilot programs for some pretty large companies over the past couple of years, PepsiCo. being one of them, and it is moving toward first deliveries to other companies sometime in 2026.
Yesterday at the 2025 Annual Shareholder Meeting, Tesla unveiled its new Semi design, which underwent a pretty significant facelift to match the aesthetic and vibe of the other vehicles in the company’s lineup.
Additionally, Tesla announced some other improvements, including changes to efficiency, and some other changes that we did not get details on yet.
The first change was to the design of the Semi, as Tesla adopted its blade-like light bar for the Class 8 truck, similar to the one that is used on the new Model Y and the Cybertruck:
There also appear to be a handful of design changes that help with aerodynamics, as its efficiency has increased to 1.7 kWh per mile.
Tesla also said it has an increased payload capability, which will help companies to haul more goods per trip.
All of these changes come as the company’s Semi Factory, which is located on the same property as its Gigafactory in Reno, Nevada, is just finishing up. In late October, it was shown that the Semi facility is nearly complete, based on recent drone imagery from factory observer HinrichsZane on X:
The factory will be capable of producing about 50,000 Tesla Semi units annually when it is completely ramped. The company has major plans to help get the Semi in more fleets across the United States.
Other entities are also working to develop a charging corridor for electric Class 8 trucks. The State of California was awarded $102 million to develop a charging corridor that spans from Washington to Southern California.
Another corridor is being developed that spans from Southern California to Texas, and 49 applicants won $636 million from the Department of Transportation for it.
Tesla requested funding for it, but was denied.
The Semi has been a staple in several companies’ fleets over the past few years, most notably that of Frito-Lay and PepsiCo., who have reported positive experiences thus far.
Musk said last year that the Semi had “ridiculous demand.”
News
Tesla Cybercab production starts Q2 2026, Elon Musk confirms
Elon Musk highlighted that the fully autonomous vehicle will be the first Tesla designed specifically for unsupervised self-driving.
Tesla CEO Elon Musk confirmed that production of the company’s autonomous Cybercab will begin in April 2026, and its production targets will be quite ambitious.
Speaking at Tesla’s 2025 Annual Shareholder Meeting, Musk highlighted that the fully autonomous vehicle will be the first Tesla designed specifically for unsupervised self-driving.
A robotaxi built for an autonomous world
Musk described the Cybercab as a clean-slate design optimized for autonomy, with no steering wheel, pedals, or side mirrors. “It’s very much optimized for the lowest cost per mile in an autonomous mode,” Musk said, adding that every Tesla produced in recent years already carries the hardware needed for full self-driving.
The Cybercab will be assembled at Giga Texas and will serve as the company’s flagship entry into the commercial robotaxi market. Musk emphasized that the project represents Tesla’s next evolutionary step in combining vehicle manufacturing, artificial intelligence, and mobility services.
One Cybercab every ten seconds
Musk reiterated that the Cybercab’s production process is more closely modeled on consumer electronics assembly than on traditional automotive manufacturing. This should pave the way for outputs that far exceed conventional automotive products.
“That production is happening right here in this factory, and we’ll be starting production in April next year. The manufacturing system is unlike any other car. The manufacturing system of the Cybercab, it’s closer to a high volume consumer electronics device than it is a car manufacturing line. So the net result is that I think we should be able to achieve, I think, ultimately, less than a 10-second cycle time, basically a unit every 10 seconds.
“What that would mean is you could get on a line that would normally produce, say, 500,000 cars a year at a one minute cycle time, Model Y. This would be maybe as much as 2 million or 3 million, maybe ultimately it’s theoretically possible to achieve a 5 million unit production line if you can get to the 5-second cycle time,” the CEO said.
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