Training an AI to reconstruct a song from listeners’ brain activity revealed insights about the brain that could lead to better speech BCIs.
When boredom creeps in, many of us turn to social media. But that may be preventing us from reaching a transformative level of boredom.
Meet The New AI-Robot Billionaire
Posted in business, robotics/AI
Armed with more than $750 million in funding, Brett Adcock vows that Figure will become one of the most important businesses in the world. First, he has a lot of work to do.
I found this on NewsBreak: Quantum computers take major step forward thanks to simplified laser beam trick.
I found this on NewsBreak: Steering toward quantum simulation at scale.
Researchers simulated a key quantum state at one of the largest scales reported, with support from the Quantum Computing User Program, or QCUP, at the Department of Energy’s Oak Ridge National Laboratory.
We know little about how embryonic development in animals evolved from single-celled ancestors, but simple organisms with a multicellular life stage offer intriguing clues.
“This is the first look at a real product,” the company said. “But it certainly isn’t the last.”
“In the months and years ahead, we’re excited to show what the world’s most dynamic humanoid robot can really do – in the lab, in the factory, and in our lives,” the company also said.
Boston Dynamics partnered with the NYPD last year to roll out several crime-fighting robots to patrol Times Square and subway stations.
Google DeepMind has recently introduced Penzai, a new JAX library that has the potential to transform the way researchers construct, visualize, and alter neural networks. This innovative tool is designed to smoothly integrate with Google Colab and the JAX ecosystem, which is a major step forward in the accessibility and manipulability of AI models.
Penzai is a new approach to neural network development that emphasizes transparency and functionality. It allows users to view and edit models as legible pytree data structures, making it easier than ever to delve into the inner workings of a model. This feature is especially useful after a model has been trained, as it provides insights into how the model operates and allows for modifications that can help achieve desired outcomes.
Penzai aims to make AI research more accessible to researchers by simplifying the process of modifying pre-trained neural networks. This would enable a wider range of researchers to experiment and innovate on existing AI technologies, which is crucial for advancing the field and discovering new AI applications. Penzai’s user-friendly interface breaks down the barriers to AI research and makes it easier for everyone to benefit from the technology.
Forever is nonsense
Posted in biological, chemistry, life extension, particle physics
Venki Ramakrishnan’s is the real-deal ‘pivot story’ — ‘pivoting’ being quite the fancy thing to do today. Born in Chidambaram in Tamil Nadu in 1952, Venki wanted to be a physicist, and by the time he decided to do something about his passion for Biology, he was already a PhD in Physics from Ohio University, USA. He then ‘pivoted’ and studied Biology at the University of California, San Diego, before he began his post-doctoral work at Yale University.
He went on to win the Nobel Prize in Chemistry in 2009 for his work on cellular particles called ribosomes. His first book, Gene Machine, captures this journey with the kind of honesty and self-deprecation one does not expect from an award-winning scientist.
With similar candour, in his second book, he examines recent scientific breakthroughs in longevity and ageing and raises uncomfortable questions about the ethical aspects of the research as well as the biological purpose of death.
Summary: Researchers discovered that pupil dilation can indicate levels of working memory. In a study, researchers observed that individuals whose pupils dilated more while performing memory tasks tended to have better working memory.
This relationship between pupil dilation and memory performance suggests that pupil metrics could potentially serve as non-invasive indicators of cognitive load and memory capacity. The study involved 179 undergraduate students who performed various working memory tasks while their pupil responses were monitored.