Lifeboat Foundation

But not for a wide audience.

Each retraining may cost millions of dollars in computation.

New research shows that AI models need to be completely retrained to learn new concepts — which is an expensive problem for AI companies.

Researchers Tomohito Amano and Shinji Tsuneyuki of the University of Tokyo with Tamio Yamazaki of CURIE (JSR-UTokyo Collaboration Hub) have developed a new machine learning model to predict the dielectric function of materials, rather than calculating from first-principles.

Researchers have developed a faster and more accurate method for acquiring and reconstructing high-quality 3D surface measurements. The approach could greatly improve the speed and accuracy of surface measurements used for industrial inspection, medical applications, robotic vision and more.

Utilizing a novel AI-driven method, researchers enhanced the precision of estimating critical cosmological parameters by analyzing galaxy distributions.

This breakthrough allows for more refined studies of dark matter and energy, with implications for resolving the Hubble tension and other cosmic mysteries.

Continue reading “AI-Powered Insights Reveal the Universe’s Fundamental Settings” »

Combat AI impersonation fraud with Beyond Identity’s RealityCheck—your shield against deepfake attacks.

Over the past decade or so, computer scientists have developed increasingly advanced computational techniques that can tackle real-world tasks with human-comparable accuracy. While many of these artificial intelligence (AI) models have achieved remarkable results, they often do not precisely replicate the computations performed by the human brain.

Researchers at Tibbling Technologies, Broad Institute at Harvard Medical School, The Australian National University and other institutes recently tried to use AI to mimic a specific type of computation performed by circuits in the neocortex, known as “winner-take-all” computations.

Their paper, published on the bioRxiv preprint server, reports the successful emulation of this computation and shows that adding it to transformer-based models could significantly improve their performance on image classification tasks.

December is shaping up to be a month of dueling AI announcements from OpenAI and Google.

A robot played cello in a curated concert for the Malmö Symphony Orchestra in southern Sweden.

Robotics is driving innovations across various sectors nowadays. This time, a new robot has entered the music arena to transform it. In a recent video, the robot was spotted playing the cello.

The industrial robotic arms with 3D-printed parts performed with the members of the orchestra in Sweden.

Continue reading “Robot plays cello delicately, makes history with Swedish orchestra” »