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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.
Tesla is planning to improve one of the best features on its lineup of cars, a new patent shows. Tesla’s massive glass roof on its premium models is among the coolest additions to the all-electric vehicles, but the design certainly has its complaints, especially from those who live in even slightly warm climates.
Tesla has published a new patent that promises to transform cabin comfort in its electric vehicles, particularly those equipped with the expansive glass roofs.
The document, identified as US20260091643A1 and titled “Airflow Optimization for Cabin Comfort“, addresses that common complaint. Sunlight streaming through windshields and panoramic roofs creates localized hot air pockets near the dashboard and headliner. These pockets generate significant temperature gradients that conventional heating, ventilation, and air conditioning systems struggle to manage evenly.
The exposure to direct sunlight can make the cabin extremely warm, and even after cooling down the interior temperature, combating the continuous stream of sunlight and heat is a challenge. It uses precious energy that is especially pertinent to range and efficiency.
The patent explains how standard dashboard vents push cool air upward, only to entrain warmer air from these stagnant zones and distribute it throughout the occupied cabin space. This process forces the blower to operate at higher speeds, increasing energy consumption and reducing overall efficiency.
In electric vehicles, where every watt impacts driving range, such inefficiencies prove costly.
🚨 THE MODEL Y L IS THE MOST WATCHED EV LAUNCH OF 2026. ITS GLASS ROOF HAS ONE WEAKNESS — AND A PATENT PUBLISHED THIS WEEK SHOWS @TESLA BUILT THE FIX
The Model Y L launched in China and is now arriving in Korea, Japan, and across Asia-Pacific. It also has a glass roof. So does… https://t.co/wr6XnBn1Oc pic.twitter.com/5sYpniXJbU
— SETI Park (@seti_park) April 5, 2026
Research from AAA indicates that air conditioning can diminish range by up to 17 percent under hot conditions. Tesla’s innovation shifts the approach by extracting heat at its source rather than attempting to dilute it after mixing occurs.
Engineers describe a suction HVAC unit connected to dedicated intakes positioned strategically on the upper dashboard surface and within the headliner.
These intakes link to a hot air pocket extraction duct that channels the warmest air directly into the system’s plenum for conditioning. As the blower activates, it simultaneously draws recirculated cabin air and targeted hot pocket air through filters and cooling coils before redistributing conditioned airflow.
It seems somewhat reminiscent of the Tesla heat pump, which aims to combat colder temperatures.
Tesla highlights Model Y’s heat pump innovations in new promotional video
This method reduces entrainment, lowers peak temperatures, and achieves more uniform comfort levels. Testing data reveals that facial temperature gradients drop from 21 degrees Celsius, or 69.8 degrees Fahrenheit, in conventional setups to just 12 degrees Celsius (53.6 degrees F) with the new system. Blower speeds and compressor power requirements decrease appreciably as a result.
The design incorporates smart controls that monitor sunlight intensity and internal temperature distributions in real time. Suction activates selectively only where needed, optimizing energy use without constant high demand. Furthermore, the extraction duct serves a dual purpose.
In the summer months, it pulls hot air inward for cooling; in winter, it reverses to direct warm air outward for rapid windshield defrosting. This versatility allows the reuse of existing hardware with minimal modifications, potentially enabling retrofits in current Tesla fleets.
Lifestyle
Tesla saves its passengers again – This time after a 300-foot cliff fall in Malibu
A Tesla Model 3 fell 300 feet off a Malibu cliff and both passengers survived.
A Tesla Model 3 plunged roughly 300 feet off a cliff on Mulholland Highway in Malibu on Friday morning, May 29, 2026, and both occupants survived. The crash was reported at approximately 7:30 a.m. near the 2500 block of Mulholland Highway, triggering a multi-agency rescue operation involving Malibu Search and Rescue, the Los Angeles County Fire Department, the California Highway Patrol, and McCormick Ambulance.
When first responders arrived, the male driver was outside the vehicle shouting for help while the female passenger remained pinned inside the Tesla. Rescue crews rappelled down the cliffside on ropes to reach the wreckage. A flight medic was lowered by helicopter to begin treating both victims, and the driver was hoisted up to the roadway before crews used the Jaws of Life to free the trapped passenger. Both were airlifted to a local trauma center with moderate injuries despite a remarkable result for a fall that steep.
The outcome is not surprising, considering Model 3 earned an overall 5-star rating from NHTSA in every category and sub-category, and recorded the lowest probability of injury of any car ever evaluated by the U.S. New Car Assessment Program. The absence of a traditional engine in the front of the vehicle creates a longer crumple zone that absorbs impact energy before it reaches occupants, and the battery pack running along the floor gives the car an unusually low center of gravity that reinforces structural rigidity.
This is not the first time a Tesla has kept passengers alive after going off a cliff. A Tesla Model Y carrying a family of four survived a plunge off a cliff at Devil’s Slide near San Francisco in January 2023, with two adults and two children walking away from a 250-foot fall. That incident drew widespread attention to how the structural integrity of Tesla’s electric platform performs in extreme crash scenarios that most vehicles would not survive.
Tesla Model Y driver who drove off cliff with family attempts to avoid criminal conviction
Tesla Full Self-Driving (Supervised) has taken yet another significant step forward in Europe. On May 29, Estonia became the third European Union country to approve the advanced driver-assistance technology, following approvals in the Netherlands and Lithuania.
Tesla Europe announced the news on X, confirming the expansion has continued across the continent that, at one time, seemed to be taking its sweet old time giving any approval to the FSD suite.
FSD Supervised now approved in Estonia🇪🇪. Rollout will begin soon pic.twitter.com/y5a64qlp5m
— Tesla Europe, Middle East & Africa (@teslaeurope) May 29, 2026
Estonia’s Transport Administration (Transpordiamet) granted the approval by recognizing the type certification issued by the Dutch vehicle authority RDW. This mutual recognition mechanism, enabled by EU regulations, allows other member states to fast-track deployment without repeating extensive local testing.
The Estonian authority noted that Tesla’s FSD had undergone rigorous evaluation on European roads for approximately 18 months before the initial Dutch approval in April 2026.
FSD Supervised remains classified as a Level 2 advanced driver-assistance system (ADAS). Drivers must maintain full attention, keep their hands on the wheel, and stay ready to intervene at any moment.
The system assists with tasks such as automatic lane changes, navigation through city streets, and responding to traffic objects, but it does not constitute full autonomy. Estonian officials emphasized this distinction, underscoring that safety responsibility lies entirely with the driver.
The rapid progression across the Baltic region highlights Tesla’s strategic approach to European expansion. The Netherlands provided the foundational type approval in April, unlocking doors for neighboring countries.
Lithuania followed swiftly in mid-May, with rollout beginning shortly thereafter. Estonia’s decision, coming just days later, demonstrates how smaller, digitally progressive nations are accelerating adoption.
Tesla owners in Estonia can expect an over-the-air software update in the coming weeks, bringing the latest FSD capabilities to compatible vehicles
This expansion builds on Tesla’s global momentum. FSD Supervised is now available in 11 countries worldwide, including the United States, Canada, Australia, and South Korea. In Europe, the approvals signal growing regulatory confidence in Tesla’s vision-based AI approach, which relies on cameras and neural networks rather than lidar or radar-heavy alternatives used by some competitors.
For Tesla, these European milestones are more than symbolic. They validate years of data collection and software iteration while opening new revenue streams through FSD subscriptions and purchases.
As the company continues refining its AI models with real-world miles from diverse driving environments, including Estonia’s variable winter conditions, the dataset grows richer, potentially benefiting global users.
Tesla plans ingenious improvement to one of its best features
Tesla saves its passengers again – This time after a 300-foot cliff fall in Malibu
