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.
News
Tesla’s AI lead doubles down on FSD’s speed strategy, and owners are confused
Tesla’s AI lead Ashok Elluswamy doubled down on the company’s strategy regarding Full Self-Driving’s speed settings, and owners are definitely confused.
Earlier versions of Full Self-Driving allowed owners to set a max speed that the vehicle could travel while operating under the semi-autonomous driver assistance platform. This allowed more customization for the driver, giving them the ability to experience FSD’s robust performance with their own personal preferences.
Speed is massively important for obvious reasons — it’s not only a question of keeping the vehicle occupants comfortable by traveling at a safe speed, but it’s also something that could contribute to a ticket or infraction from law enforcement.
With the release of FSD v14 last year, Tesla removed the ability to set a max speed and instead opted for five Speed Profiles, ranging from “Sloth,” the most conservative, to “Mad Max,” the most aggressive and spirited. These profiles not only control speed, but also how frequently the vehicle will execute passes, perform lane changes, and other contributing factors.
The removal of the Max Speed setting was a major complaint amongst the Tesla community because it left owners scrambling for a way to experience suitable behaviors while traveling at an appropriate speed. Most felt the driving profiles would be a good indicator of the behaviors, while speed would still be left up to the discretion of the driver.
Instead, Tesla’s Speed Profiles determine both, and the constant tinkering of how they behave has been a major bottleneck and point of confusion for both owners and the company. From update to update, the Speed Profiles will change, sometimes more drastically than others. Some owners have complained that the “Standard” profile is too fast, while others have experienced “Mad Max” traveling below the speed limit:
What has happened to Mad Max?
At one point it was going 32 in a 35. Traffic ahead had pulled away considerably https://t.co/bjKvaMVTNX pic.twitter.com/aaZSWmLu5v
— TESLARATI (@Teslarati) January 24, 2026
These things change with each update, but the big complaint is that owners are on the hook for any tickets that come from FSD’s infractions; that’s the caveat of the suite being named FSD (Supervised). It ultimately means the driver is responsible, and the automaker has no liability when it comes to speeding tickets or general traffic infractions.
It is the driver’s responsibility to take over or adjust based on this.
Elluswamy essentially confirmed that there are no plans to bring back Max Speed control, because it is what he referred to as “an anti pattern.” He then echoed something that CEO Elon Musk has started to really push with FSD, and that’s the idea that Tesla is really honing in on the preferences of the driver.
Max speed control is an anti pattern.
We are working on better learning of user’s implied preferences.
— Ashok Elluswamy (@aelluswamy) August 3, 2026
Owners were confused by Tesla’s decision, stating that there must be a better way, especially considering disengagements for incorrect speeds are common:
This…. is not the way
— Kyle Conner (@itskyleconner) August 4, 2026
😭 I appreciate this mentality ! But currently the no.1 reason I disengage in Australia is incorrect speed zones.
— Ryan’s Model Y (@ryanjaycowan) August 3, 2026
This is fine but you need to start accepting liability for speeding tickets then. https://t.co/lyCgdA83gQ
— Jeremy Judkins (@jeremyjudkins_) August 4, 2026
Okay https://t.co/nOvoXQkNg1 pic.twitter.com/jGRtF2xtox
— Chad Moran (@ChadMoran) August 3, 2026
From personal experience and using FSD for over 72 percent of my driving miles since v14 was released late last year, I make Speed Profile adjustments constantly. If FSD is traveling a tad too quickly, I will scale it back, and if it’s too conservative, I’ll make it more aggressive.
I don’t complain about making the Speed Profile changes too frequently, but it would certainly be nice to have it happen less frequently. There are far too many times I am concerned about getting a ticket, even in Standard mode.
The biggest issue for me, personally, which seems to be echoed throughout the community, is the fact that Tesla’s goal is to minimize disengagements. Many drivers are stating that speed is a major reason for disengagements.
However, Tesla is not willing to bring back this one level of input because it would technically be a regression.
Whether it’s right or wrong in your opinion, it is what Tesla is going with, and it seems like it has pivoted quite a bit from its other strategies for minimizing interventions by pushing its AI to behave in a way that would fit the occupant’s personal preferences.
News
Tesla qualifies for awesome new first-time EV buyer incentive in California
Tesla is one of several automakers whose vehicles qualify for an awesome new first-time EV buyer incentive program in California.
The Golden State launched the MyFirstEV incentive program, which helps those buying an electric vehicle for the first time with a $3,500 incentive on new-inventory purchases of a Model 3 or Model Y.
First-time electric vehicle buyers in California can now get $3,500 off eligible Model 3 and Model Y new inventory vehicle purchases.
To be eligible, you must place your order on or after August 3, 2026 and take delivery while funds are still available. The incentive applies to… pic.twitter.com/yuXF00XA50
— Sawyer Merritt (@SawyerMerritt) August 4, 2026
The incentive requires an order on or after August 3, and delivery must be taken while the program is still being funded. California has set aside $135.5 million to help strengthen its SEV market and support automotive innovation.
Incentives are offered at the point of sale, and used EVs are also available for a partial incentive of $1,750. Half of the $3,500 and $1,750 incentive amounts are covered by California, with the other half being covered by participating OEMs.
Additionally, rules apply for MSRP and how the vehicle will qualify for the incentive. Any vehicle from a non-California headquartered OEM must have an MSRP of $50,000 or less. Used vehicles must be priced at $25,000 or less and must be at least two model years older than the year of purchase.
The cars must also be purchased from manufacturers as certified pre-owned vehicles. Private dealerships are not eligible.
In total, California expects to incentivize over 73,000 ZEVs.
Participating Manufacturers
Fourteen total automakers are participating in California’s MyFirstEV program:
- Chevrolet – Launching August 2026
- Ford – Launching August 2026
- Honda – Launching September 2026
- Hyundai – Launching August 2026
- Kia – Launching August 2026
- Lexus – Launching September 2026
- Lucid – Launching August 2026
- Mitsubishi – Launching November 2026
- Nissan – Coming Soon
- Rivian – Coming Soon
- Subaru – Launching September 2026
- Tesla – Launching August 2026
- Toyota – Launching September 2026
- Volvo – Coming Soon
Investor's Corner
SpaceX to report first-ever earnings today: here’s what to expect
Elon Musk’s space exploration company, SpaceX (NASDAQ: SPCX), is set to report its earnings for the second quarter today in what will be its first-ever earnings call since going public in July.
SpaceX is trading down roughly 25 percent from its IPO. These early stock signals are usually a bit tumultuous, and considering this is the first company actively launching rockets that is available on the stock exchange, investors might have a tendency to be a bit skittish.
However, there are going to be some details that investors will hear for the first time today on the earnings call. Here’s what to look for:
Wall Street Expectations
Revenue is expected to fall somewhere around $6.8 billion, and will be heavily driven by Starlink, which is SpaceX’s widely popular satellite internet platform that has been adopted by numerous airlines, cruise ships, and other maritime operations. It is also available for consumers at home or in their cars.
Earnings Per Share (EPS) expectations fall at a net loss of $0.23 per share. Wall Street sees this as a total net loss of roughly $1.9 billion.
EBITDA is expected to come in between $2 billion and $2.1 billion.
What Investors Want to Know
Tesla uses the Say platform to help work with both retail and institutional investors to answer relevant and quality questions that address concerns or questions that they might have.
However, SpaceX is doing things differently, as the company launched its own Investor Relations website where these questions are being fielded. Just like the Tesla questions, they seem to be less focused on the operational tasks and overall progress of the company, and more novelty.
Here are the top five:
- Has the team thought about what possibilities there are with your mascot Asteroid? Whether it’s starting additional foundations for kids in its name, helping kids learn about space, etc. Kids are our future, and Asteroid would be a fun and easy way to help.
- Baby Asteroid is already making a difference through charity around the world. Could SpaceX take it even further with programs that inspire kids to explore space?
- SpaceX has some legendary vehicle names. Would you ever allow the public to name a Starship, even knowing there is a 99% chance it becomes Shipy McShipface?
- When can we expect to see more footage of the Human Landing System?
- Will Asteroid (your mascot) go to Mars?
SpaceX will report its earnings today, August 4, at 4:30 P.M. EDT.

