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Researchers develop artificial intelligence that can identify cancer cells
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.
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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Tesla extends FSD Supervised ride-alongs in Europe by three months
Needless to say, it does appear that FSD fever is starting to catch in Europe.
Tesla appears to be doubling down on its European Full Self-Driving (Supervised) push, with the company extending its demo ride-along program by three months until the end of March 2026. The update seems to have been implemented due to overwhelming demand.
Needless to say, it does appear that FSD fever is starting to catch in Europe.
Extended FSD demonstrations
Tesla EU Policy and Business Development Manager Ivan Komušanac shared on LinkedIn that the company is offering ride-along experiences in Germany, France and Italy while working toward FSD (Supervised) approval in Europe.
He noted that this provides a great feedback opportunity from the general public, encouraging participants to record and share their experiences. For those unable to book in December, Komušanac teased more slots as “Christmas presents.”
Tesla watcher Sawyer Merritt highlighted the extension on X, stating that dates now run from December 1, 2025, to March 31, 2026, in multiple cities including Stuttgart-Weinstadt, Frankfurt and Düsseldorf in Germany. This suggests that the FSD ride-along program in Europe has officially been extended until the end of the first quarter of 2026.
Building momentum for European approval
Replies to Merritt’s posts buzzed with excitement, with users like @AuzyMale noting that Cologne and Düsseldorf are already fully booked. This sentiment was echoed by numerous other Tesla enthusiasts on social media. Calls for the program’s expansion to other European territories have also started gaining steam, with some X users suggesting Switzerland and Finland as the next locations for FSD ride-alongs.
Ultimately, the Tesla EU Policy and Business Development Manager’s post aligns with the company’s broader FSD efforts in Europe. As per recent reports, Tesla recently demonstrated FSD’s capabilities for Rome officials. Reporters from media outlets in France and Germany have also published positive reviews of FSD’s capabilities on real-world roads.
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Tesla’s six-seat extended wheelbase Model Y L sold out for January 2026
Estimated delivery dates for new Tesla Model Y L orders now extend all the way into February 2026.
The Tesla Model Y L seems to be in high demand in China, with estimated delivery dates for new orders now extending all the way into February 2026.
This suggests that the Model Y L has been officially sold out from the rest of 2025 to January 2026.
Model Y L estimated delivery dates
The Model Y L’s updated delivery dates mark an extension from the vehicle’s previous 4-8 week estimated wait time. A detailed chart shared by Tesla data tracker @Tslachan on X shows the progressions of the Model Y L’s estimated delivery dates since its launch earlier this year.
Following its launch in September, the vehicle was given an initial October 2025 estimated delivery date. The wait times for the vehicle were continually updated over the years, until the middle of November, when the Model Y L had an estimated delivery date of 4-8 weeks. This remained until now, when Tesla China simply listed February 2026 as the estimated delivery date for new Model Y L orders.
Model Y demand in China
Tesla Model Y demand in China seems to be very healthy, even beyond the Model Y L. New delivery dates show the company has already sold out its allocation of the all-electric crossover for 2025. The Model Y has been the most popular vehicle in the world in both of the last two years, outpacing incredibly popular vehicles like the Toyota RAV4. In China, the EV market is substantially more saturated, with more competitors than in any other market.
Tesla has been particularly kind to the Chinese market, as it has launched trim levels for the Model Y in the country that are not available anywhere else, such as the Model Y L. Demand has been strong for the Model Y in China, with the vehicle ranking among the country’s top 5 New Energy Vehicles. Interestingly enough, vehicles that beat the Model Y in volume like the BYD Seagull are notably more affordable. Compared to vehicles that are comparably priced, the Model Y remains a strong seller in China.
Elon Musk
NVIDIA CEO Jensen Huang commends Tesla’s Elon Musk for early belief
“And when I announced DGX-1, nobody in the world wanted it. I had no purchase orders, not one. Nobody wanted to buy it. Nobody wanted to be part of it, except for Elon.”
NVIDIA CEO Jensen Huang appeared on the Joe Rogan Experience podcast on Wednesday and commended Tesla CEO Elon Musk for his early belief in what is now the most valuable company in the world.
Huang and Musk are widely regarded as two of the greatest tech entrepreneurs of the modern era, with the two working in conjunction as NVIDIA’s chips are present in Tesla vehicles, particularly utilized for self-driving technology and data collection.
Nvidia CEO Jensen Huang regrets not investing more in Elon Musk’s xAI
Both CEOs defied all odds and created companies from virtually nothing. Musk joined Tesla in the early 2000s before the company had even established any plans to build a vehicle. Jensen created NVIDIA in the booth of a Denny’s restaurant, which has been memorialized with a plaque.
On the JRE episode, Rogan asked about Jensen’s relationship with Elon, to which the NVIDIA CEO said that Musk was there when nobody else was:
“I was lucky because I had known Elon Musk, and I helped him build the first computer for Model 3, the Model S, and when he wanted to start working on an autonomous vehicle. I helped him build the computer that went into the Model S AV system, his full self-driving system. We were basically the FSD computer version 1, and so we were already working together.
And when I announced DGX-1, nobody in the world wanted it. I had no purchase orders, not one. Nobody wanted to buy it. Nobody wanted to be part of it, except for Elon.
He goes ‘You know what, I have a company that could really use this.’ I said, Wow, my first customer. And he goes, it’s an AI company, and it’s a nonprofit and and we could really use one of these supercomputers. I boxed one up, I drove it up to San Francisco, and I delivered it to the Elon in 2016.”
The first DGX-1 AI supercomputer was delivered personally to Musk when he was with OpenAI, which provided crucial early compute power for AI research, accelerating breakthroughs in machine learning that underpin modern tools like ChatGPT.
Tesla’s Nvidia purchases could reach $4 billion this year: Musk
The long-term alliance between NVIDIA and Tesla has driven over $2 trillion in the company’s market value since 2016.
Tesla extends FSD Supervised ride-alongs in Europe by three months
Tesla’s six-seat extended wheelbase Model Y L sold out for January 2026
