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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.

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.

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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.

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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.

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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Elon Musk

Elon Musk’s new $29B Tesla stock award gets strange synopsis from governance firm

Did CGI not realize that Tesla Shareholders supported Musk being paid not once, but twice?

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Credit: TED

Elon Musk was recently awarded around $29 billion in Tesla stock as the company’s Board of Directors is attempting to get its CEO paid after his original pay package was denied twice by the Delaware Chancery Court.

But a new and strange synopsis from the Corporate Governance Institute (CGI) says the award is potentially a strength move to “endorse the will of a powerful CEO.” The problem is, in the same sentence, the firm said the new award brings up a “question of whether the board exists to steward a company in the interests of all stakeholders.”

The problem with their new analysis of Musk’s pay package is that shareholders voted twice on Musk’s original pay package of $56 billion. They voted to give Musk that sum on two separate occasions.

Musk’s original $56 billion pay package was approved by shareholders twice; once in 2018 and once again last year. Last year’s vote was in response to Delaware Chancery Court Kathaleen McCormick’s decision to revoke the “unfathomable sum” from Musk.

Shareholders still showed support for Musk getting paid. Tesla said in its new award to the CEO that this is a way to give him compensation for the first time in seven years.

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CGI said in its note (via TipRanks):

“When a board builds its strategy around a single individual, it creates a concentration risk, not just operationally, but culturally and ethically. If that individual becomes a source of volatility, the company becomes fragile by design.”

What’s strange with this type of narrative is the fact that Tesla’s valuation has skyrocketed with Musk at the helm. Go back to 2020, and the stock is up over 200 percent. Since Musk’s $56 billion pay package was introduced in 2018, shares are up well over 1,000 percent.

Tesla engineer explains why Elon Musk deserves new pay package

Musk’s 2018 pay package was also not awarded to him without performance-based incentives. He was required to reach certain growth goals, all of which were accomplished through the launch of new vehicles and the advancements of its driver-assistance suites, like Autopilot and Full Self-Driving.

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It is tough to agree with CGI’s perception of Musk’s new pay plan, especially as it is much less than what shareholders voted on twice. Musk deserves to be paid for his contributions to Tesla.

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Tesla Robotaxi is headed to New York City, but one thing is in its way

Tesla is working to hire Vehicle Operators in New York City, but the company still needs some regulatory hurdles to go through.

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tesla store in New York City
Credit: Tesla

Tesla Robotaxi will be headed to New York City, but there is one huge thing that stands in its way: approval to test autonomous vehicles.

Tesla is expanding its Robotaxi platform across the United States as it currently operates in Austin, Texas, and the Bay Area of California.

The company has also been seeking approvals in several other states, including Nevada, Arizona, and Florida.

However, the company is also working to expand to major metropolitan areas across the U.S. that it has not explicitly mentioned, as it attempts to reach CEO Elon Musk’s goal of giving half of the country’s population access to the platform by the end of the year:

It appears New York City is next on the list, according to a job posting on Tesla’s Careers website.

The company says it is hiring a Vehicle Operator for Autopilot in Flushing, New York, a section of the borough of Queens. Queens is connected to Brooklyn and Long Island, so it seems more ideal than launching in Manhattan or the Bronx, where traffic is heavy and charging is not as readily available.

Tesla’s job posting states:

“We are looking for a highly motivated self-starter to join our vehicle data collection team. As a Prototype Vehicle Operator, you will be responsible for driving an engineering vehicle for extended periods, conducting dynamic audio and camera data collection for testing and training purposes. Access to the data collected is limited to the applicable development team. This role requires a high level of flexibility, strong attention to detail, excellent driving skills, and the ability to thrive in a fast-paced, dynamic environment.”

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It also lists the hours of operation as Tuesday through Saturday or Sunday through Thursday, with its three shifts listed as:

  • Day Shift: 6:00 AM – 2:30 PM or 8:00 AM – 4:30 PM
  • Afternoon Shift: 2:00 PM – 10:30 PM or 4:00 PM – 12:30 AM
  • Night Shift: 10:00 PM-6:30 AM or 12:00 AM-8:30 AM

We wouldn’t count on New York City being the next place Tesla launches Robotaxi. According to a report from CNBC, a spokesperson for the NYC Department of Transportation confirmed Tesla has not yet applied for permits that are needed to operate its ride-hailing service.

For what it’s worth, it could just be the first step in Tesla’s plans. It also has Vehicle Operator job postings in other regions. Houston, Texas, as well as Tampa, Miami, and Clermont, Florida, are all listed on Tesla’s Career postings.

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Tesla’s Elon Musk gives nod to Ford while acknowledging his influence on EVs

“Ford basically invented mass manufacturing of large, complex products. Everyone else copied.”

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elon-musk-jim-farley-tesla-ford
Credit: Tesla, Ford

Tesla CEO Elon Musk gave a tremendous nod to Ford while also acknowledging his own influence on EVs and the automotive industry in general.

Yesterday, Ford announced its new manufacturing process for EVs, which was essentially a rebirth of its own production lines and plans for more affordable models to offer consumers.

It was important to recognize that Ford truly launched automotive manufacturing with its production of the Model T 122 years ago.

That’s exactly what Musk did in a response to Ford CEO Jim Farley:

In the over 100 years since Ford started producing vehicles, the company has had one significant fact go under the radar: it truly created a great process for building large, complex vehicles. It is something that many companies eventually adopted as the car industry took off.

Tesla is in a similar situation. It has used things like the Giga Press from the Italian company IDRA to create a better, more efficient, streamlined process for building cars.

It was able to use casting to eliminate a vast majority of parts from the Model Y, which not only helped increase manufacturing efficiency but also improved safety and structural rigidity. It truly revolutionized manufacturing for the company, and Ford said that it would adopt a similar mindset with its new EVs.

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Yesterday, Doug Field, the Chief EV, Digital and Design Officer for Ford, and a former Sr. VP of Engineering for Tesla, said the company was taking the mentality that “the best part is no part.”

Musk acknowledged how far it has come and how it is influencing other car companies to do the same in terms of its production strategy:

Ford is using an “Assembly Tree,” which is essentially very similar to Tesla’s “unboxed production process.” In addition to the use of Gigacasting, which Ford is calling “Unicasting,” as well as the use of structural batteries, it is almost as if Tesla is having its own “Model T moment.”

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Ford has been quick to adopt an EV mentality as it plans to transition its business over the next decades. It is working to prepare for the future of the atuomotive industry, and although it has adjusted its strategy, it can’t be denied that Ford is one of the legacy automakers taking this new chapter in cars seriously.

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