Lifeboat Foundation

Particles colliding in accelerators produce numerous cascades of secondary particles. The electronics processing the signals avalanching in from the detectors then have a fraction of a second in which to assess whether an event is of sufficient interest to save it for later analysis. In the near future, this demanding task may be carried out using algorithms based on AI, the development of which involves scientists from the Institute of Nuclear Physics of the PAS.

While Elon Musk says Tesla is trying to build an AI supercomputer, his companies are spending billions of dollars on Nvidia hardware.

OpenAI CEO Sam Altman is remaining tight-lipped about the company’s secretive Q* project — even after admitting that his company is something of a leaky ship.

Even among those who followed along with OpenAI’s November massacre that saw Altman temporarily ousted, it’s easy to overlook the Q* (pronounced “queue-star”) of it all, particularly because nobody outside the company really knows what the heck it is.

Continue reading “Sam Altman Shuts Down Q* Questions” »

On Monday, Nvidia unveiled the Blackwell B200 tensor core chip—the company’s most powerful single-chip GPU, with 208 billion transistors—which Nvidia claims can reduce AI inference operating…

Jensen Huang believes coding languages are a thing of the past.

After setting a new world speed record for humanoid robots earlier this month, China’s Unitree is now claiming another. Its latest H1 bipedal takes the title for first to perform a standing backflip without the use of hydraulics.

Yes, humanoids like Boston Dynamics’ Atlas have been nailing backflips for a few years now but they make use of heavy, potentially leaky hydraulics to launch into the air, somersault backwards and then land on both feet.

Continue reading “Video: Unitree H1 is first humanoid to nail a backflip without hydraulics” »

Sakana AI, a Tokyo-based artificial intelligence startup founded by two prominent former Google researchers, released AI models on Wednesday it said were built using a novel method inspired by evolution, akin to breeding and natural selection.

Researchers from the Oxford Martin Programme on Ethical Web and Data Architectures (EWADA), University of Oxford, have called for a more considered approach when embedding ethical principles in the development and governance of AI for children.

The AI boom, including the advent of large language models (LLMs) and their associated chatbots, poses new challenges for privacy. Is our personal information part of a model’s training data? Are our prompts being shared with law enforcement? Will chatbots connect diverse threads from our online lives and output them to anyone?