Przemysław «Psycho» Dębbiak, a 42-year-old programmer from Gdynia, Poland, defeated OpenAI AI at the AtCoder World Tour Finals (AWTF) 2025 competition in the «Humans vs.
Category: robotics/AI – Page 37
Gabe Newell thinks AI tools will result in a ‘funny situation’ where people who don’t know how to program become ‘more effective developers of value’ than those who’ve been at it for a decade
Even if you’re just a pure tool user you’re going to find that the gains to utilising those tools are very, very high.
Autonomous gallbladder removal: Robot performs first realistic surgery without human help
A robot trained on videos of surgeries performed a lengthy phase of a gallbladder removal without human help. The robot operated for the first time on a lifelike patient, and during the operation, responded to and learned from voice commands from the team—like a novice surgeon working with a mentor.
The robot performed unflappably across trials and with the expertise of a skilled human surgeon, even during unexpected scenarios typical in real-life medical emergencies.
The work, led by Johns Hopkins University researchers, is a transformative advancement in surgical robotics, where robots can perform with both mechanical precision and human-like adaptability and understanding.
The AI Revolution In Healthcare: How Data Science Is Transforming Drug Discovery And Medical Diagnosis
Going forward, AI has the potential to help balance needs across regions, ensuring care delivery doesn’t compromise chronic or long-term care in the face of emergencies.
Ethical Considerations And Systemic Impact
While AI holds significant promise in healthcare, its implementation must be approached thoughtfully. Challenges such as bias in training data, lack of interoperability and concerns around patient consent and data privacy (particularly under HIPAA) need to be proactively addressed. Effective deployment of AI requires close collaboration between policymakers, clinicians and technologists to establish standards that ensure equitable and inclusive outcomes.
Rapidus Prototypes 2-nm Transistors for 2027 Ramp
Last month, Japanese startup foundry Rapidus began prototyping 2-nanometer gate-all-around (GAA) transistors at its new facility, a key step toward ramping up its first production in 2027.
The foundry, which aims to compete with TSMC and Samsung in leading-edge chips for AI, said in a press statement that in about three years, it has reached target milestones, including the fab groundbreaking in September 2023, clean room completion in 2024, and, in June this year, the installation of production equipment.
Rapidus and TSMC are two chipmakers that the Japanese government is relying on to revive the nation’s declining semiconductor industry. Rapidus, if successful, will make leading-edge 2-nm chips for companies like IBM. TSMC is producing 12-to 28-nanometer chips for image sensors and automotive applications at its base in Kumamoto, Japan.
Apple Can’t Keep Up With Tesla: Here’s Why
Tesla, led by its innovative and dynamic leadership, is poised for massive growth and has surpassed Apple, which has lost its edge due to poor management and a lack of innovation, in areas such as autonomous vehicles and tech innovation.
Questions to inspire discussion.
Tesla’s Innovation Strategy.
🚀 Q: How does Tesla’s vertical integration contribute to its innovation? A: Tesla’s vertical integration enables it to control the entire product stack, from raw materials to software and service, allowing for tight feedback loops, cost reduction, and rapid iteration in product development.