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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.

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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?

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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.

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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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Tesla’s global fleet surpasses 9 million vehicles worldwide

The update was posted by Tesla China, which competes in the world’s most competitive electric vehicle market.

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Credit: Tesla China

Tesla’s global fleet has now exceeded 9 million vehicles, a major milestone for the electric vehicle maker. 

The update was posted by Tesla China, which competes in the world’s most competitive electric vehicle market.

Tesla’s global fleet crosses 9 million vehicles

The milestone was highlighted in a graphic shared by Tesla China, which thanked the over nine million Tesla owners worldwide for their support over the years. To celebrate the milestone, Tesla China announced several incentives for select owners, from Model Y L test drives to Tesla Bot Premium Gift Sets to Supercharging perks. 

The milestone comes 16 years after the company started delivering its first vehicle, the original Tesla Roadster, as observed by members of the Tesla community. The first production Roadster was delivered to Elon Musk, who was serving as chairman at the time.

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Reaching a global fleet of more than 9 million vehicles reflects the cumulative impact of Tesla’s growth over the past decade, particularly following the introduction of high-volume models such as the Model 3 and Model Y. The Model 3 and Model Y have allowed Tesla to transform from a niche automaker into one of the world’s largest producers of electric cars.

Strong China sales help drive fleet growth

Tesla’s expanding global footprint has been supported by solid performance in China, where the company posted a strong finish to 2025. In December, the Model Y ranked as the country’s top-selling new energy vehicle, as per sales data compiled by Chinese auto industry aggregator Yiche.

The Model Y led China’s NEV rankings with approximately 65,874 units sold during the month, outperforming a field dominated by domestic manufacturers such as BYD, SAIC-GM-Wuling, and Xiaomi. Tesla’s Model 3 also delivered an impressive result, ranking eighth overall with just under 28,000 units sold, ahead of numerous locally produced competitors despite its premium pricing.

Tesla China’s broader performance in December was equally notable. The company sold 97,171 vehicles wholesale during the month, based on data from the China Passenger Car Association. The result marked Tesla China’s second-highest monthly total on record, trailing only November 2022’s peak of 100,291 units.

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Tesla launches new affordable Model Y configuration in the U.S.

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Credit: Tesla

Tesla has launched another new affordable Model Y configuration in the United States, now adding a fifth version of the all-electric crossover to its lineup, diversifying the car’s options and giving consumers more choices at the time of purchase.

Tesla launched the Model Y All-Wheel-Drive on Monday night, pricing it at $41,990. It features 294 miles of range, a 125 MPH top speed, and a 0-60 MPH acceleration rate of 4.6 seconds.

The vehicle is the second most-affordable configuration of the Model Y, only eclipsing the Model Y Rear-Wheel-Drive, which is priced at $39,990.

The move to expand the Model Y lineup comes just a week after CEO Elon Musk confirmed the company would remove the Model S and Model X from production, making way for manufacturing of the Optimus robot at the company’s Fremont, California, factory.

The Model Y All-Wheel-Drive fits the bill of the “Standard” offerings of the vehicle that Tesla launched last year. It is void of many of the more luxurious features, which are available in the “Premium” trim levels, available in Rear-Wheel-Drive, All-Wheel-Drive, and Performance.

The differences between the Standard and Premium configurations can be found in the video below:

@teslarati There are some BIG differences between the Tesla Model Y Standard and Tesla Model Y Premium #tesla #teslamodely ♬ Sia – Xeptemper

With five configurations now available in the Model Y, it certainly seems as if Tesla is attempting to get the vehicle available in more options than ever before.

With the Model S and Model X being removed from production due to their irrelevance to the future and Tesla’s focus on autonomy, diversifying the Model Y portfolio seems to align with the idea that the company is okay with making more variations of its most popular car.

Tesla Model Y Standard: first impressions from a Premium owner

Removing the Model S and Model X and replacing them with a new Model Y configuration is not exactly what fans have been wanting; many have been wondering what Tesla will do to replace the need for a bigger SUV for large families.

Nevertheless, Tesla’s relentless attitude toward solving autonomy and its preparation to launch a self-driving ride-hailing service seem to fit the bill for this move. Soon, it will be the Model 3, Model Y, and Cybercab playing the main parts of this autonomous future. The Cybertruck will be sticking around for other things, like local hauling.

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Elon Musk

SpaceX officially acquires xAI, merging rockets with AI expertise

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Credit: SpaceX

SpaceX has officially acquired xAI, merging rockets with AI expertise in what is the first move to bring Elon Musk’s companies under one umbrella.

On February 2, SpaceX officially announced the acquisition of xAI, uniting two powerhouse companies under a single entity, creating what the space exploration company called in a blog post “one of the most ambitious, vertically integrated innovation engines on (and off) Earth.”

The deal will integrate xAI’s advanced AI capabilities, including the Grok chatbot and massive training infrastructure, with SpaceX’s rocket technology, Starlink satellite network, and ambitious space exploration goals.

The acquisition comes at a pivotal moment: xAI is valued at around $230 billion as of late 2025, and has been racing to scale AI compute amid global competition from companies like OpenAI, Google, and Meta. Meanwhile, SpaceX, which was recently valued at $800 billion, is facing escalating costs for its multiplanetary ambitions.

SpaceX-xAI merger discussions in advanced stage: report

By combining forces, the merged entity gains a unified approach to tackle one of AI’s biggest bottlenecks: the enormous energy and infrastructure demands of next-gen models.

Musk wrote in a blog post on SpaceX’s website that:

“In the long term, space-based AI is obviously the only way to scale. To harness even a millionth of our Sun’s energy would require over a million times more energy than our civilization currently uses! The only logical solution therefore is to transport these resource-intensive efforts to a location with vast power and space. I mean, space is called “space” for a reason.”

Musk details the need for orbital data centers, stating that his estimate is that “within 2 to 3 years, the lowest cost way to generate AI compute will be in space.

This cost-efficiency alone will enable innovative companies to forge ahead in training their AI models and processing data at unprecedented speeds and scales, accelerating breakthroughs in our understanding of physics and invention of technologies to benefit humanity.”

SpaceX recently filed for approval from the FCC to launch up to one million solar-powered satellites configured as high-bandwidth, optically linked compute platforms.

These facilities would harness near-constant sunlight with minimal maintenance, delivering what the company projects as transformative efficiency.

Musk has long argued that space offers the ultimate solution for power-hungry AI projects. But that’s not all the merger will take care of.

Additionally, it positions the company to fund broader goals. Revenue from the Starlink expansion, potential SpaceX IPO, and AI-driven applications could accelerate the development of lunar bases, as Musk believes multiplanetary life will be crucial to saving civilization.

Critics question the feasibility of massive constellations amid orbital debris concerns and regulatory hurdles. Yet, proponents see it as a bold step toward a multiplanetary computing infrastructure that extends human civilization beyond Earth.

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