machine learning algorithm tagged posts

Soon, researchers may be able to create movies of their favorite protein or virus better and faster than ever before. Researchers at the Department of Energy’s SLAC National Accelerator Laboratory have pioneered a new machine learning method—called X-RAI (X-Ray single particle imaging with Amortized Inference)—that can “look” at millions of X-ray laser-generated images and create a three-dimensional reconstruction of the target particle. The team recently reported their findings in Nature Communications.

X-RAI’s ability to sort through a massive number of images and learn as it goes could unlock limits in data-gathering, allowing researchers to see molecules up close—and perhaps even on the move...

Researchers have developed a handheld device that could potentially replace stethoscopes as a tool for detecting certain types of heart disease.

The researchers, from the University of Cambridge, developed a device that makes it easy for people with or without medical training to record heart sounds accurately. Unlike a stethoscope, the device works well even if it’s not placed precisely on the chest: its larger, flexible sensing area helps capture clearer heart sounds than traditional stethoscopes.

The device can also be used over clothing, making it more comfortable for patients – especially women – during routine check-ups or community heart health screening programmes.

The heart sound recordings can be saved on the device, which can then be used to detect signs of heart v...

Digital twin models may enhance future autonomous systems

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests.

Using machine learning tools to create a digital twin, or a virtual copy, of an electronic circuit that exhibits chaotic behavior, researchers found that they were successful at predicting how it would behave and using that information to control it.

Many everyday devices, like thermostats and cruise control, utilize linear controllers — which use simple rules to direct a system to a desired value...

A new, potentially revolutionary artificial intelligence framework called “Blackout Diffusion” generates images from a completely empty picture, meaning that, unlike other generative diffusion models, the machine-learning algorithm does not require initiating a “random seed” to get started.

Blackout Diffusion, presented at the recent International Conference on Machine Learning, generates samples that are comparable to the current diffusion models, such as DALL-E or Midjourney but require fewer computational resources than these models.

“Generative modeling is bringing in the next industrial revolution with its capability to assist many tasks, such as generation of software code, legal documents, and even art,” said Javier Santos, an AI researcher at Los Alamos National Laboratory a...