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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 begins factoring international designs in Full Self-Driving visualization
Tesla has begun incorporating region-specific vehicle designs into its Full Self-Driving (FSD) visualization system, marking a quiet but meaningful step toward global readiness. In software update 2026.14, released as part of the Spring Update, European Tesla owners are now seeing flat-fronted, cab-over European-style semi-trucks rendered accurately on their center displays.
Tesla has begun factoring international designs into its Full Self-Driving (Supervised) visualizations, marking a tremendous step in how the company plans to roll out its driver assistance tech in areas outside North America.
Tesla has begun incorporating region-specific vehicle designs into its Full Self-Driving (FSD) visualization system, marking a quiet but meaningful step toward global readiness. In software update 2026.14, released as part of the Spring Update, European Tesla owners are now seeing flat-fronted, cab-over European-style semi-trucks rendered accurately on their center displays.
The change, first spotted by Not a Tesla App, adds a second 3D model alongside the traditional North American long-nose semi-trucks that have been standard until now. Vehicles can detect and display both styles depending on what’s in front of them, and the feature requires no FSD subscription—every Tesla owner in Europe sees it immediately.
The European semi-truck visualization was actually added to the vehicle software back in October alongside roughly fifteen new visual assets.
Tesla held it in reserve, activating it only once fleet data confirmed the AI could recognize these trucks with high confidence. This mirrors recent rollouts for horses and golf carts, where Tesla similarly waited for reliable detection before enabling the graphics. The result is a more realistic on-screen representation tailored to local roads, where cab-over designs dominate heavy transport.
The significance of this update extends far beyond a simple graphics tweak, which is really what people need to be paying attention to. These small, incremental steps forward continue to show Tesla’s intent for global expansion.
For the first time, Tesla is explicitly factoring international vehicle designs into its visualization engine, signaling a deliberate push to make FSD feel native in international markets.
In Europe, where cab-over semis are commonplace, seeing an accurate rendering builds immediate driver trust—the critical bridge between the car’s AI perception and the human behind the wheel. Accurate visualizations reinforce that the system truly understands its surroundings, reducing range anxiety and skepticism that have slowed autonomous adoption abroad.
Regulators in the EU have repeatedly emphasized human-AI transparency; by customizing visuals to match local reality, Tesla strengthens its case for broader FSD approvals and smoother regulatory reviews.
This move also highlights Tesla’s data-driven engineering philosophy. Rather than rushing generic models worldwide, the company is leveraging its global fleet to learn regional nuances before flipping the switch.
It accelerates FSD’s international expansion while improving safety—misidentified vehicles could erode confidence or, in edge cases, affect decision-making. For a company aiming to deploy robotaxis and unsupervised FSD globally, tailoring visualizations to European, Asian, or other markets is no longer optional; it’s foundational.
Early European owners report the change feels more intuitive, making the car’s “mind” easier to read in daily traffic.
As Tesla continues enabling the remaining visual assets added last year, the pattern is clear: localization is now baked into the FSD roadmap. What began as a small graphics update in Europe could soon appear in other regions, turning the visualization display into a truly worldwide language of autonomy.
With this step, Tesla isn’t just showing trucks differently—it’s proving it’s serious about making FSD work everywhere, one culturally accurate pixel at a time.
Tesla has quietly rolled out one of its most practical software updates yet — and it could add real dollars to every used Model 3, Y, S, and X on the road.
Starting with the latest Tesla app version, owners now receive an official “Certification of Repaired HV Battery” whenever Tesla performs a major high-voltage battery repair or full replacement. The digital certificate appears directly in the vehicle’s Service History tab inside the Tesla app.
It’s permanent, verifiable, and downloadable as a PDF, so sellers can hand it over to buyers in seconds.
For years, the used EV market has suffered from one glaring problem: nobody could prove what happened to the battery.
Service invoices often vanish when a car changes hands. Third-party battery-health scans are expensive and inconsistent. Buyers, staring at a car with 80,000 miles and an 8-year warranty ticking down, would negotiate hard — or walk away entirely — because the battery is the single most expensive part of any Tesla.
That uncertainty routinely shaved thousands off resale values and slowed the entire secondhand market.
Now Tesla has eliminated the guesswork. The new certificate, which was spotted by Tesla App Updates, logs exactly what work was done, when, and by whom. It lives inside the car’s digital profile forever, exactly where any future owner will look. No more digging through old emails or hoping the previous owner kept paperwork.
— Tesla App Updates (iOS) (@Tesla_App_iOS) May 5, 2026
The outlet describes why the update is so important:
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Official Digital Certificates: The string “Certification of Repaired HV Battery” confirms that if your vehicle undergoes a major battery repair or replacement, Tesla will now issue an official, verifiable digital certificate documenting the work.
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Service History Integration: Strings such as viewRepairedBatteryCert and repairedBatteryCertId indicate that this document won’t be lost in an old email thread. It will be permanently anchored to your vehicle’s profile inside the app’s Service History tab.
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Easy Exporting: The service_history_repaired_battery_cert_download_fail error state indicates you will be able to download this certificate directly to your phone as a file (likely a PDF) to share with others.
Sellers who have already replaced packs under warranty are especially excited; they can now prove the vehicle received a fresh Tesla battery without any gray-area questions.
The timing couldn’t be better. As more Teslas roll off 8-year/100,000- or 120,000-mile battery warranties, the used market is exploding. Lenders, insurers, and even auction houses have quietly asked for better battery documentation for years. Tesla’s certificate hands it to them on a silver platter.
For current owners, the feature adds peace of mind and protects long-term value. For buyers, it removes the single biggest risk in any used EV purchase. And for Tesla itself, it quietly strengthens the entire ownership ecosystem — making vehicles more liquid, more desirable, and more valuable over time.
In an industry obsessed with range numbers and 0-60 times, Tesla just proved that sometimes the biggest innovation is a simple line in the Service History tab. One small certificate, one giant step for used-EV confidence.
In the global race toward electrification, Norway stands unchallenged as the world’s most mature EV market.
In the first quarter of this year, EVs captured a staggering 97.9 percent market share, with plugin EVs reaching 98.6 percent. Out of 27,175 new vehicles registered, non-BEV powertrains have been reduced to statistical noise—petrol and hybrids combined accounted for fewer than 80 units.
At the heart of this transformation is Tesla.
The Model Y dominated overall vehicle sales with 5,406 units, outselling the next five best-selling non-Tesla models combined. The refreshed Model 3 followed in second place with 2,010 units, giving Tesla a commanding one-two finish. Toyota’s bZ4X placed third with 1,400 units, while Volvo’s EX40 and others trailed further back.
The @Tesla Model Y was the #1 best-selling vehicle overall in Norway in Q1 2026 by a wide margin, with BEVs in general taking a 97.9% market share. Model 3 ranked #2.
Model Y (5,406 units) sold more units than the next five best-selling non-Tesla vehicles on the list. pic.twitter.com/LE2SD5UQjs
— Sawyer Merritt (@SawyerMerritt) May 5, 2026
This dominance is no fluke. Norway has spent decades building the infrastructure and policy framework that makes EVs the rational choice. Generous tax incentives, exemption from VAT, reduced tolls, free ferries for EVs, and a dense charging network have turned the country into a living laboratory for mass adoption. High fuel prices—often exceeding $8 per gallon—further tilt the economics decisively toward electricity.
The result is a market where choosing anything but an EV feels increasingly anachronistic. Diesel and petrol cars have all but vanished from new registrations. Even plug-in hybrids, once a transitional favorite, have collapsed to 0.7 percent share.
Chinese brands like XPeng, BYD, and Zeekr are making inroads, while legacy European and Japanese automakers scramble to field competitive BEVs. Yet Tesla’s combination of range, performance, software, Supercharger network, and brand cachet continues to set the benchmark.
Norway’s Q1 figures come after a volatile start to 2026 caused by VAT changes that pulled forward sales into late 2025. The market rebounded strongly in March, underscoring underlying demand. Tesla’s Q1 performance in the country also jumped significantly year-over-year, reinforcing its position even as competition intensifies.
What happens in Norway rarely stays there. The country has long served as a bellwether for EV trends across Europe and beyond.
Its near-total transition demonstrates that when incentives align with infrastructure and consumer economics, adoption accelerates dramatically. For automakers, Norway signals a future where success hinges not on legacy powertrains but on delivering compelling electric vehicles at scale.
As other nations ramp up their own EV ambitions, Tesla’s continued reign in the world’s heaviest EV market sends a clear message: in a fully mature electric future, the company that started the revolution remains the one to beat. With the Model Y still the best-selling vehicle overall—quarter after quarter—Norway’s roads are a rolling testament to Tesla’s enduring leadership.
Tesla begins factoring international designs in Full Self-Driving visualization
Tesla adds new in-app feature to solve the used EV market’s biggest headache
