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Researchers develop artificial intelligence that can identify cancer cells

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Scientists from Osaka University in Japan have developed artificial intelligence (AI) that can identify different types of cancers based on microscopy images of their cells. The AI was also able to determine whether the cancer cells were resistant to radiation, and further learned the differences between human and animal cancers. Since the accuracy and timeliness of traditional methods of identifying cancer cells are prone to delays and errors, an accurate and automated system for accomplishing this would be beneficial to cancer research and treatment overall. The results of the scientists’ research were published in the December 2018 issue of Cancer Research.

The type of AI developed for the cell identification is called a convolutional neural network (CNN); it’s loosely based on the connectivity patterns used by neurons in the brain and primarily used for classifying images. As described in their publication, the scientists used a training set of 10,000 images each of human cervical cancer cells (ME-180) and mouse squamous cancer cells (NR-S1), e.g., the thin, flat types of cells found on the surface of the skin and thin linings around various organs throughout the body. They also included images of radioresistant clones with the set, and ultimately obtained a 96% accuracy in a 2,000 image test.

Because the types of cells in a single cancerous tumor can vary widely, identifying the specific cells present is important for determining the best treatment. Thus, having a tool to provide this information quickly and accurately could have a significant impact. The Osaka team hopes to expand the types of cancers their AI can identify and ultimately establish a universal system that can identify all cancer cell types.

Microscopic image of skin cancer cells (squamous) in a mouse (blue). | Credit: Catherine and James Galbraith, Oregon Health and Science University, Knight Cancer Institute/NIH, CC BY-NC 2.0.

Using artificial intelligence in the battle against cancer is being explored throughout the world as the number of uses devised expands. In one notable instance, a team of scientists from The Institute of Cancer Research in London and the University of Edinburgh has developed an AI technique called REVOLVER (repeated evolution of cancer) which identifies DNA mutation patterns in cancers to predict the ways they will change in response to treatment. Similar to how bacteria become resistant to antibiotics, so too can cancers become resistant to the drugs used against them. By removing the unpredictability variable in cancer behavior, scientists would be able to stay ahead of the disease’s progress and tailor treatments accordingly.

The collaboration between AI and healthcare overall is growing, not just in cancer research – even Google is making contributions to the field. Fortunately, the agencies regulating developments are also attuned to the changes. Earlier this year at the AcademyHealth 2018 Health Datapalooza, the U.S. Food and Drug Administration (FDA) Commissioner Scott Gottlieb, MD signaled the agency’s positive position towards the field. “AI holds enormous promise for the future of medicine, and we’re actively developing a new regulatory framework to promote innovation in this space and support the use of AI-based technologies,” he stated at the event. He also referred to the agency’s plans to streamline their regulations and tools to be sufficiently flexible to handle the rapid pace of advancements and “focus on the ways in which real-world data flows.”

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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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Elon Musk

Tesla board chair reiterates widely unmentioned point of Musk comp plan

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Credit: Tesla

Tesla Board Chair Robyn Denholm appeared on Bloomberg TV this morning to discuss the current status of CEO Elon Musk’s compensation plan, and used the opportunity to reiterate a widely unmentioned key point of the entire package.

Critics of the proposed pay package, which would pay Musk $1 trillion if he completes every tranche, routinely cite the sheer size of the payday.

Of course, many skeptics leave out the fact that he would only get that money if he were able to generate eight times the value the company currently has.

Tesla gains massive vote of confidence on compensation plan for Elon Musk

For Musk, it might have a little bit to do with money, but that is likely a very small percentage point of why the compensation package is being offered to him. He has reiterated that it is more about voting control and overall influence, especially as Tesla dives into robotics.

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He said during the Q3 Earnings Call:

“My fundamental concern with regard to how much voting control I have at Tesla is if I go ahead and build this enormous robot army, can I just be ousted at some point in the future? That’s my biggest concern. That is really the only thing I’m trying to address with this. It’s called compensation, but it’s not like I’m going to go spend the money. It’s just, if we build this robot army, do I have at least a strong influence over that robot army, not current control, but a strong influence? That’s what it comes down to in a nutshell. I don’t feel comfortable wielding that robot army if I don’t have at least a strong influence.”

Tesla shares the idea that Musk is a crucial part of the company, and without him being awarded the voting control he feels he deserves, he could leave the company altogether.

The company is very obviously feeling the importance of the upcoming vote, as it has advertised and pushed heavily for the comp plan to be approved, mostly to retain Musk.

Tesla Board Chair Robyn Denholm said today to Bloomberg TV that it is crucial shareholders understand it is not about Musk’s potential wealth, but more about his influence on company decisions:

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“So firstly, it is a performance package, so he gets nothing if he doesn’t perform against the pretty audacious milestones that are part of the performance criteria that’s been outlined by the board in the performance package. So, I think rather than compensation, it’s actually about the performance and the goals that we have for the company as we move forward. And so, for me, it really is about making sure that investors understand that they actually get paid if he hits the milestones before he will…Elon’s been very public, including on last week’s earnings call, about the fact that it’s around the voting influence that he could have in future shareholder meetings as opposed to the economic interests.”

Musk is not an incredibly flashy person. He does not have crazy cars or a massive house to go back to. He spends a lot of his time working and sometimes even sleeps at his office inside the factory.

He recently said he “only has what is needed” because “material possessions were making him weak.”

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The truth about Tesla ‘Mad Max’ mode from an actual user

Some people might see “Mad Max” as an extension of their daily driving.

For me, I did not see it that way. I saw it as a useful tool for certain situations, but it was certainly not something I could compare to my personal driving style.

But that does not mean that it’s wrong.

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Credit: Teslarati

There have been many headlines about Tesla’s new “Mad Max” mode, but many of those writing about the “dangerous” and “controversial” mode have probably never used it.

As a writer, I write about topics I do not have firsthand experience with, but the job requires me to take a fair stance and report what is known. The problem is the nature of driving and driving modes, specifically, is subjective.

Some people might see “Mad Max” as an extension of their daily driving.

For me, I did not see it that way. I saw it as a useful tool for certain situations, but it was certainly not something I could compare to my personal driving style.

But that does not mean that it’s wrong.

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NHTSA Probes Tesla Over “Mad Max”

Last week, the NHTSA launched a bit of a probe into Mad Max mode, requesting additional information on the Speed Profile and reiterating that the driver of the car is still required to be in ultimate control.

Tesla ‘Mad Max’ gets its first bit of regulatory attention

It’s important to keep the latter portion of that sentence in mind for the true thesis of this piece.

Now, it is no surprise to me that Mad Max garnered attention from regulatory agencies, as it is definitely a more spirited driving profile than the others.

Is Mad Max That Big of a Deal?

Regulatory agencies are responsible for keeping people safe, and it is important to note that their control is somewhat necessary. However, this type of drive mode is optional, requires the driver’s attention, and should be used responsibly for safe travel.

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Playing Devil’s Advocate, how is Mad Max any different than the performance modes that some sports cars have? Because they require the driver to operate fully, and they are not semi-autonomous like Tesla can offer with Mad Max in Full Self-Driving (Supervised), are they safer?

The argument here really comes down to whether FSD is being used responsibly and correctly; any accelerated drive mode becomes more of a risk if the vehicle operator is not paying attention. This applies to any car company or drive mode they choose to use on their cars.

My Personal Experience with Mad Max

I have used Mad Max probably ten times since it rolled out to Early Access Program (EAP) members a few weeks ago.

I’ll admit: it did a lot of things I would never do driving a car manually. It passed people on the right. It was the fastest vehicle on the interstate, at least until I crossed into Maryland. Then, it seemed to be just another car on the road.

It drove quickly, and not so fast that I felt concerned for my safety, which I never feared for, but fast enough that, at certain points, I was concerned that a cop would pull me over. I never encountered that scenario, but I wouldn’t be surprised if it resulted in some tickets.

With that being said, I don’t particularly think I’d use Mad Max in more than a handful of applications: driving the Baltimore Beltway would be one instance, navigating traffic in Baltimore, Philadelphia, or Pittsburgh during heavy traffic, or cruising on I-95, where cars routinely are going 100 MPH, much faster than Mad Max would ever travel.

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Is it too quick for me in residential settings? For me, yes. Is it faster than every human driving on those roads? Absolutely not. In my experience, it is quicker than some, slower than others, just like any other Speed Mode Tesla offers, even Sloth, which refuses to go over the posted speed limit.

I think it’s wrong to sit here and act as if Mad Max is some incredibly dangerous and life-threatening hazard. If a driver is uncomfortable with the maneuvers or speed, they do not have to use it. However, it is no different from how many other cars travel on the road; it is far from an anomaly.

Tesla FSD’s new Mad Max mode is getting rave reviews from users

With that being said, it will be interesting to see if the NHTSA does anything about Mad Max, whether it will require Tesla to “nerf” the Speed Profile, or remove it altogether. It’s also important to note that this is my personal experience with Mad Max, and what I’ve experienced might differ from others’.

I would love to hear your thoughts on how Mad Max has driven for you, or your impressions of it.

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Tesla prepares for full-throttle manufacturing of major product

Tesla has the second quarter of 2026 as its projected start date for Cybercab production. It also plans to launch Semi and Megapack 3 for “volume production” starting next year, which will also be two major contributors to the company.

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(Credit: Tesla North America | X)

Tesla is preparing for a full-throttle manufacturing effort of potentially its biggest product in company history, job postings on the company’s website show.

In preparation for its foray into fully autonomous travel, Tesla is gearing up for Cybercab manufacturing with 30 job postings, ranging from repair technicians to manufacturing specialists.

Elon Musk sets definitive Tesla Cybercab production date and puts a rumor to rest

The jobs are all located in Austin, Texas, where the company’s Gigafactory Texas facility is located. This is where Cybercab production is going to take place.

Tesla has made major strides in the Cybercab project over the past few months, including launching the vehicle on the Fremont Test Track in California and conducting crash testing at Gigafactory Texas.

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All of these indicate the company is preparing for an imminent production effort of the vehicle, which, as Elon Musk said during last week’s Earnings Call, will be void of a steering wheel or pedals.

Tesla has the second quarter of 2026 as its projected start date for Cybercab production. It also plans to launch Semi and Megapack 3 for “volume production” starting next year, which will also be two major contributors to the company.

Musk spoke in great detail during the Earnings Call last week about Cybercab’s potential to change the grand picture of the automotive market, comparing other vehicles in the Tesla lineup to “a little bit of the horse-carriage thing.”

He said:

“That’s really a vehicle that’s optimized for full autonomy. It, in fact, does not have a steering wheel or pedals and is really an enduring optimization on minimizing cost per mile for fully considered cost per mile of operation. For our other vehicles, they still have a little bit of the horse carriage thing going on where, obviously, if you’ve got steering wheels and pedals and you’re designing a car that people might want to go very direct past acceleration and tight cornering, like high-performance cars, then you’re going to design a different car than one that is optimized for a comfortable ride and doesn’t expect to go past sort of 85 or 90 miles an hour.”

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Cybercab production is imminent, given the job postings and the company’s proposed timeline for manufacturing to begin. Of course, there is always the potential that Tesla is late to the party, as it has been with other projects.

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