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AI dominates China’s elite doctors in cancer diagnosis competition

[Credit: China Daily/Twitter]

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A custom-built AI designed to diagnose brain tumors and predict hematoma expansion dominated some of China’s best doctors in a competition last Saturday in Beijing. The AI, dubbed BioMind, ultimately scored 2:0 against its human competitors, comprised of 15 senior doctors from China’s premier hospitals.

BioMind was developed by a collaboration between a team from the Artificial Intelligence Research Center for Neurological Disorders at the Beijing Tiantan Hospital and researchers from the Capital Medical University. BioMind’s developers opted to feed the AI with data sets featuring tens of thousands of images depicting nervous-system-related diseases, which were retrieved from Tiantan Hospital’s archives stretching over the past decade.

Wang Yongjun, executive vice-president of Tiantan Hospital, stated that this training ultimately enabled the AI to become proficient in diagnosing neurological diseases such as meningioma and glioma with an accuracy rate of over 90%. According to Wang, such rates are comparable to the accuracy of a senior doctor, according to a report from state-owned Xinhua News.

During its the competition on Saturday, BioMind was able to correctly diagnose brain tumors with an accuracy rate of 87% out of a total of 225 cases. The AI was also able to complete its task in 15 minutes. In comparison, the team of 15 elite doctors was able to achieve an accuracy rate of 66% when diagnosing brain tumors, finishing the task in 30 minutes. Apart from this, BioMind was able to make correct predictions in 83% of brain hematoma expansion cases, while its human competition displayed a more conservative 63% accuracy.

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Despite the AI’s strong performance against China’s elite doctors on Saturday, however, Cheng Jingliang, a professor of radiology at the First Affiliated Hospital of Zhengzhou University, stated that artificial intelligence systems for the medical field are still well into their infancy. According to Cheng, AI is already being used in hospitals to help doctors read images such as lung scans, but when it comes to giving full diagnoses to patients, artificial intelligence still lags far behind that of senior medical professionals.

In a statement to China Daily, Paul Parizel from the Antwerp University Hospital in Belgium, who served as a member of the jury during last Saturday’s AI vs. human doctors competition, believes that systems such as BioMind would prove to be incredibly valuable when integrated to existing medical practices.

“It will be like a GPS guiding a car. It will make proposals to a doctor and help the doctor diagnose. But it will be the doctor who ultimately decides, as there are a number of factors that a machine cannot take into consideration, such as a patient’s state of health and family situation,” he said.

The United States initially led the artificial intelligence race, but over the years, China has steadily gained ground in the AI industry. Thanks to a population that is compliant to the application of new technologies, as well as a government that actively pushes AI researchers to push further, China is on track to overtake the United States in the near future. Last January alone, the Chinese government announced plans to build a $2.1 billion technopark in Beijing that is expected to house companies actively involved in AI research and development. The United States does not have a comparable initiative to date. This was confirmed by Jack Clark of Elon Musk-backed OpenAI, who previously stated that the country lacks a central national strategy on artificial intelligence.

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“It is confusing that we have this technology of such obvious power and merit and we are not hearing full-throated support, including financial support,” Clark said.

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Cybertruck

Tesla drops latest hint that new Cybertruck trim is selling like hotcakes

According to Tesla’s Online Design Studio, the new All-Wheel-Drive Cybertruck will now be delivered in April 2027. Earlier orders are still slated for early this Summer, but orders from here on forward are now officially pushed into next year:

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(Credit: Tesla)

Tesla’s new Cybertruck offering has had its delivery date pushed back once again. This is now the second time, and deliveries for the newest orders are now pushed well into 2027.

According to Tesla’s Online Design Studio, the new All-Wheel-Drive Cybertruck will now be delivered in April 2027. Earlier orders are still slated for early this Summer, but orders from here on forward are now officially pushed into next year:

Just three days ago, the initial delivery date of June 2026 was pushed back to early Fall, and now, that date has officially moved to April 2027.

The fact that Tesla has had to push back deliveries once again proves one of two things: either Tesla has slow production plans for the new Cybertruck trim, or demand is off the charts.

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Judging by how Tesla is already planning to raise the price based on demand in just a few days, it seems like the company knows it is giving a tremendous deal on this spec of Cybertruck, and units are moving quickly.

That points more toward demand and not necessarily to slower production plans, but it is not confirmed.

Tesla Cybertruck’s newest trim will undergo massive change in ten days, Musk says

Tesla is set to hike the price on March 1, so tomorrow will be the final day to grab the new Cybertruck trim for just $59,990.

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It features:

  • Dual Motor AWD w/ est. 325 mi of range
  • Powered tonneau cover
  • Bed outlets (2x 120V + 1x 240V) & Powershare capability
  • Coil springs w/ adaptive damping
  • Heated first-row seats w/ textile material that is easy to clean
  • Steer-by-wire & Four Wheel Steering
  • 6’ x 4’ composite bed
  • Towing capacity of up to 7,500 lbs
  • Powered frunk

Interestingly, the price offering is fairly close to what Tesla unveiled back in late 2019.

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Elon Musk

Elon Musk outlines plan for first Starship tower catch attempt

Musk confirmed that Starship V3 Ship 1 (SN1) is headed for ground tests and expressed strong confidence in the updated vehicle design.

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Credit: SpaceX/X

Elon Musk has clarified when SpaceX will first attempt to catch Starship’s upper stage with its launch tower. The CEO’s update provides the clearest teaser yet for the spacecraft’s recovery roadmap.

Musk shared the details in recent posts on X. In his initial post, Musk confirmed that Starship V3 Ship 1 (SN1) is headed for ground tests and expressed strong confidence in the updated vehicle design.

“Starship V3 SN1 headed for ground tests. I am highly confident that the V3 design will achieve full reusability,” Musk wrote.

In a follow-up post, Musk addressed when SpaceX would attempt to catch the upper stage using the launch tower’s robotic arms. 

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“Should note that SpaceX will only try to catch the ship with the tower after two perfect soft landings in the ocean. The risk of the ship breaking up over land needs to be very low,” Musk clarified. 

His remarks suggest that SpaceX is deliberately reducing risk before attempting a tower catch of Starship’s upper stage. Such a milestone would mark a major step towards the full reuse of the Starship system.

SpaceX is currently targeting the first Starship V3 flight of 2026 this coming March. The spacecraft’s V3 iteration is widely viewed as a key milestone in SpaceX’s long-term strategy to make Starship fully reusable. 

Starship V3 features a number of key upgrades over its previous iterations. The vehicle is equipped with SpaceX’s Raptor V3 engines, which are designed to deliver significantly higher thrust than earlier versions while reducing cost and weight. 

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The V3 design is also expected to be optimized for manufacturability, a critical step if SpaceX intends to scale the spacecraft’s production toward frequent launches for Starlink, lunar missions, and eventually Mars. 

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Tesla FSD (Supervised) could be approved in the Netherlands next month: Musk

Musk shared the update during a recent interview at Giga Berlin.

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Credit: Tesla

Tesla CEO Elon Musk shared that Full Self-Driving (FSD) could receive regulatory approval in the Netherlands as soon as March 20, potentially marking a major step forward for Tesla’s advanced driver-assistance rollout in Europe.

Musk shared the update during a recent interview at Giga Berlin, noting that the date was provided by local authorities.

“Tesla has the most advanced real-world AI, and hopefully, it will be approved soon in Europe. We’re told by the authorities that March 20th, it’ll be approved in the Netherlands,’ what I was told,” Musk stated

“Hopefully, that date remains the same. But I think people in Europe are going to be pretty blown away by how good the Tesla car AI is in being able to drive.”

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Tesla’s FSD system relies on vision-based neural networks trained on real-world driving data, allowing vehicles to navigate using cameras and AI rather than traditional sensor-heavy solutions. 

The performance of FSD Supervised has so far been impressive. As per Tesla’s safety report, Full Self-Driving Supervised has already traveled 8.3 billion miles. So far, vehicles operating with FSD Supervised engaged recorded one major collision every 5,300,676 miles. 

In comparison, Teslas driven manually with Active Safety systems recorded one major collision every 2,175,763 miles, while Teslas driven manually without Active Safety recorded one major collision every 855,132 miles. The U.S. average during the same period was one major collision every 660,164 miles.

If approval is granted on March 20, the Netherlands could become the first European market to greenlight Tesla’s latest supervised FSD (Supervised) software under updated regulatory frameworks. Tesla has been working to secure expanded FSD access across Europe, where regulatory standards differ significantly from those in the United States. Approval in the Netherlands would likely serve as a foundation for broader EU adoption, though additional country-level clearances may still be required.

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