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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 has passed a critical self-driving milestone Elon Musk listed in Master Plan Part Deux
Tesla China announced that the company’s Autopilot system has accumulated 10 billion kilometers of driving experience.
Tesla has passed a key milestone, and it was one that CEO Elon Musk initially mentioned more than nine years ago when he published Master Plan, Part Deux.
As per Tesla China in a post on its official Weibo account, the company’s Autopilot system has accumulated over 10 billion kilometers of real-world driving experience.
Tesla China’s subtle, but huge announcement
In its Weibo post, Tesla China announced that the company’s Autopilot system has accumulated 10 billion kilometers of driving experience. “In this respect, Tesla vehicles equipped with Autopilot technology can be considered to have the world’s most experienced and seasoned driver.”
Tesla AI’s handle on Weibo also highlighted a key advantage of the company’s self-driving system. “It will never drive under the influence of alcohol, be distracted, or be fatigued,” the team wrote. “We believe that advancements in Autopilot technology will save more lives.”
Tesla China did not clarify exactly what it meant by “Autopilot” in its Weibo post, though the company’s intense focus on FSD over the past years suggests that the term includes miles that were driven by FSD (Beta) and Full Self-Driving (Supervised). Either way, 10 billion cumulative miles of real-world data is something that few, if any, competitors could compete with.
Elon Musk’s 10-billion-km estimate, way back in 2016
When Elon Musk published Master Plan Part Deux, he outlined his vision for the company’s autonomous driving system. At the time, Autopilot was still very new, though Musk was already envisioning how the system could get regulatory approval worldwide. He estimated that worldwide regulatory approval will probably require around 10 billion miles of real-world driving data, which was an impossible-sounding amount at the time.
“Even once the software is highly refined and far better than the average human driver, there will still be a significant time gap, varying widely by jurisdiction, before true self-driving is approved by regulators. We expect that worldwide regulatory approval will require something on the order of 6 billion miles (10 billion km). Current fleet learning is happening at just over 3 million miles (5 million km) per day,” Musk wrote.
It’s quite interesting but Tesla is indeed getting regulatory approval for FSD (Supervised) at a steady pace today, at a time when 10 billion miles of data has been achieved. The system has been active in the United States and has since been rolled out to other countries such as Australia, New Zealand, China, and, more recently, South Korea. Expectations are high that Tesla could secure FSD approval in Europe sometime next year as well.
Elon Musk
SpaceX maintains unbelievable Starship target despite Booster 18 incident
It appears that it will take more than an anomaly to stop SpaceX’s march towards Starship V3’s refinement.
SpaceX recently shared an incredibly ambitious and bold update about Starship V3’s 12th test flight.
Despite the anomaly that damaged Booster 18, SpaceX maintained that it was still following its plans for the upgraded spacecraft and booster for the coming months. Needless to say, it appears that it will take more than an anomaly to stop SpaceX’s march towards Starship V3’s refinement.
Starship V3 is still on a rapid development path
SpaceX’s update was posted through the private space company’s official account on social media platform X. As per the company, “the Starbase team plans to have the next Super Heavy booster stacked in December, which puts it on pace with the test schedule planned for the first Starship V3 vehicle and associated ground systems.”
SpaceX then announced that Starship V3’s maiden flight is still expected to happen early next year. “Starship’s twelfth flight test remains targeted for the first quarter of 2026,” the company wrote in its post on X.
Elon Musk mentioned a similar timeline on X earlier this year. In the lead up to Starshp Flight 11, which proved flawless, Musk stated that “Starship V3 is a massive upgrade from the current V2 and should be through production and testing by end of year, with heavy flight activity next year.” Musk has also mentioned that Starship V3 should be good enough to use for initial Mars missions.
Booster 18 failure not slowing Starship V3’s schedule
SpaceX’s bold update came after Booster 18 experienced a major anomaly during gas system pressure testing at SpaceX’s Massey facility in Starbase, Texas. SpaceX confirmed in a post on X that no propellant was loaded, no engines were installed, and personnel were positioned at a safe distance when the booster’s lower section crumpled, resulting in no injuries.
Still, livestream footage showed significant damage around the liquid oxygen tank area of Booster 18, leading observers to speculate that the booster was a total loss. Booster 18 was among the earliest vehicles in the Starship V3 series, making the failure notable. Despite the setback, Starship V3’s development plans appear unchanged, with SpaceX pushing ahead of its Q1 2026 test flight target.
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Tesla Sweden faces fresh union blockade at key Gothenburg paint shop
Allround Lack works with painting and damage repair of passenger cars, including Teslas.
Tesla’s ongoing labor conflict in Sweden escalated again as the trade union IF Metall issued a new blockade halting all Tesla paintwork at Allround Lack in Gothenburg.
Allround Lack works with painting and damage repair of passenger cars, including Teslas. It currently employs about 20 employees.
Yet another blockade against Tesla Sweden
IF Metall’s latest notice ordered a full work stoppage for all Tesla-related activity at Allround Lack. With the blockade in place, paint jobs on Tesla-owned vehicles, factory-warranty repairs, and transport-damage fixes, will be effectively frozen, as noted in a report from Dagens Arbete. While Allround Lack is a small paint shop, its work with Tesla means that the blockade would add challenges to the company’s operations in Sweden, at least to some degree.
Paint shop blockades have been a recurring tool in the longstanding conflict. The first appeared in late 2023, when repair shops were barred from servicing Tesla vehicles. Days later, the Painters’ Union implemented a nationwide halt on Tesla paint work across more than 100 shops. Since then, a steady stream of workshops has been pulled into the conflict.
Earlier blockades faced backlash from consumers
The sweeping effects of the early blockades drew criticism from industry groups and consumers. Employers and industry organization Transportföretagen stated that the strikes harmed numerous workshops across Sweden, with about 10 of its members losing about 50% of their revenue.
Private owners also expressed their objections. Tibor Blomhäll, chairman of Tesla Club Sweden, told DA in a previous statement that the blockades from IF Metall gave the impression that the union was specifically attacking consumers. “If I get parking damage to my car, I pay for the paint myself. The company Tesla is not involved in that deal at all. So many people felt singled out, almost stigmatized. What have I done as a private individual to get a union against me?” Blomhäll stated.
In response to these complaints, IF Metall introduced exemptions, allowing severely damaged vehicles to be repaired. The union later reopened access for private owners at workshops with collective agreements. The blockades at the workshops were also reformulated to only apply to work that is “ordered by Tesla on Tesla’s own cars, as well as work covered by factory warranties and transport damage on Tesla cars.”
Tesla has passed a critical self-driving milestone Elon Musk listed in Master Plan Part Deux
SpaceX maintains unbelievable Starship target despite Booster 18 incident
