433 Central Ave., 4th Floor, St. Petersburg, FL 33701 | info@poseidon-us.com | Office: (813) 563-2652

Making AI models more trustworthy for high-stakes settings

Researchers made a technique that improves the trustworthiness of machine-learning models, which could help improve the accuracy and reliability of AI predictions for high-stakes settings such health care.
http://news.poseidon-us.com/TKYTz2

Light-based data made clearer with new machine learning method

Researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially enabling faster and more precise medical diagnoses and sample analysis.
http://news.poseidon-us.com/TKYTz0

A neuro-quantum leap in finding optimal solutions

Scientists have developed a problem-solving architecture modeled on neurobiology that leverages quantum mechanical behavior to guarantee optimal solutions to complex problems.
http://news.poseidon-us.com/TKYTyZ

Using principles of swarm intelligence, study compared platforms that allow brainstorming among large groups

A next-generation technology developed in 2023, conversational swarm intelligence (CSI), combines the principles of ASI with the power of large language models.
http://news.poseidon-us.com/TKYL25

New Bayesian method enables rapid detection of quantum dot charge states

A research team has developed a new technique to rapidly and accurately determine the charge state of electrons confined in semiconductor quantum dots — fundamental components of quantum computing systems. The method is based on Bayesian inference, a statistical framework that estimates the most likely state of a system using observed data.
http://news.poseidon-us.com/TKYL22

Researchers develop a novel vote-based model for more accurate hand-held object pose estimation

Estimating the pose of hand-held objects is a critical and challenging problem in robotics and computer vision. While leveraging multi-modal RGB and depth data is a promising solution, existing approaches still face challenges due to hand-induced occlusions and multimodal data fusion. In a new study, researchers developed a novel deep learning framework that addresses these issues by introducing a novel vote-based fusion module and a hand-aware pose estimation module.
http://news.poseidon-us.com/TKYL0v