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Category: robotics/AI – Page 180

​Tsinghua University holds Tsinghua AI Agent Hospital Inauguration and 2025 Tsinghua Medicine Townhall Meeting-Tsinghua University

On the morning of April 26, Tsinghua University held an inauguration ceremony for Tsinghua AI Agent Hospital and the 2025 Tsinghua Medicine Townhall Meeting at the Main Building Reception Hall. Tsinghua President Li Luming and Vice President Wang Hongwei attended the event.

President Li Luming reviewed the progress of Tsinghua University’s medical programs over the past year, emphasizing the University’s strong commitment to the development of medical disciplines. He highlighted Tsinghua’s strength in fundamental research in Artificial intelligence, which has already led to a series of high-level innovations at the intersection of AI and medicine. The establishment of the Tsinghua AI Agent Hospital represents a new initiative by Tsinghua to leverage its strengths in science and engineering to empower the advancement of medicine.

President Li encouraged Tsinghua Medicine to remain committed to fostering virtue and talent, cultivating a new generation of medical innovators with both a strong medical foundation and AI literacy. He also called for deeper integration across disciplines, particularly between engineering and medicine, as well as closer ties between clinical practice and technology. Finally, he urged Tsinghua Medicine to align its work with cutting-edge global trends and national strategic needs, driving medical advancement and contributing to the protection of public health.

Tesla FSD Competitors Admit DEFEAT: “Elon Was Right”

Questions to inspire discussion.

Safety and Performance.

🛡️ Q: How does Tesla’s full self-driving system compare to human driving in terms of safety? A: According to Elon Musk, Tesla’s end-to-end neural networks trained on massive video datasets have been proven to be dramatically safer than average human driving.

⚡ Q: What recent hardware upgrade has improved Tesla’s full self-driving capabilities? A: Tesla’s AI4 hardware has been upgraded to 150–200 watts, enabling more complex neural networks and faster decision-making, achieving 36 frames per second processing.

Scalability and Efficiency.

📈 Q: Why is Tesla’s vision-only approach considered more scalable than competitors’ methods? A: Tesla’s vision-only approach is more scalable than competitors’ use of multiple sensors, sensor fusion, and high-definition maps, as stated by BU’s Robin Lee.

Continue reading “Tesla FSD Competitors Admit DEFEAT: “Elon Was Right”” | >

SpaceX Finally Reveals Starship Flight 10 Launch Window

🚀 Q: When are the next Starship test flights scheduled? A: Flight 10 is targeting August 4th, while Flight 11 is set for September 1st, 2025, marking the final Block 2 Starship tests.

🛰️ Q: What new AI initiative is SpaceX undertaking? A: SpaceX is hiring AI software engineers to integrate artificial intelligence into engineering workflows supporting Falcon, Starship, and satellite operations.

Common feature between forest fires and neural networks reveals universal framework

Researchers from the University of Tokyo in collaboration with Aisin Corporation have demonstrated that universal scaling laws, which describe how the properties of a system change with size and scale, apply to deep neural networks that exhibit absorbing phase transition behavior, a phenomenon typically observed in physical systems. The discovery not only provides a framework describing deep neural networks but also helps predict their trainability or generalizability. The findings were published in the journal Physical Review Research.

In recent years, it seems no matter where we look, we come across in one form or another. The current version of the technology is powered by : numerous layers of digital “neurons” with weighted connections between them. The network learns by modifying the weights between the “neurons” until it produces the correct output. However, a describing how the signal propagates between the layers of neurons in the system has eluded scientists so far.

“Our research was motivated by two drivers,” says Keiichi Tamai, the first author. “Partially by industrial needs as brute-force tuning of these massive models takes a toll on the environment. But there was a second, deeper pursuit: the scientific understanding of the physics of intelligence itself.”

Robotaxi Will Make Tesla Trillions

Tesla’s robo-taxi service has the potential to lead to a trillion-dollar valuation due to its scalable, low-cost AI approach, and could generate trillions of dollars in profit, significantly outpacing competitors.

Questions to inspire discussion.

Tesla’s Robo Taxi Business Model.
🚗 Q: What potential profit could Tesla’s robo taxi model generate per vehicle? A: Tesla’s robo taxi model could generate $150,000 in profit per year from each vehicle if charging prices similar to Uber.

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