Findings could introduce new and accurate AI-based opportunities in the clinical setting, potentially leading to personalized treatments for patients with otherwise lethal forms of cancer….
Although the brain’s architecture is very shallow, brain-inspired artificial neural networks’ learning capabilities can outperform deep learning. Traditionally, artificial intelligence stems from human brain dynamics….
Scientists can use a combination of advanced machine learning and sequential sampling techniques to predict extreme events without the need for large data sets, according…
Machine learning drives the self-discovery of pulses that stabilize quantum systems in the face of environmental noise. Controlling the trajectory of a basketball is relatively…
Researchers analyzing the data from MRI exams on nearly 8,000 children have identified biomarkers of attention-deficit/hyperactivity disorder (ADHD) and a possible role for neuroimaging machine…
A predictive model has been developed that enables researchers to encode instructions for cells to execute. Scientists at the University of California, San Francisco (UCSF)…
New study demonstrates the potential for machine learning to accelerate the development of innovative drug delivery technologies. Scientists at the University of Toronto have successfully…
Researchers develop tools to help data scientists make the features used in machine-learning models more understandable for end users. Explanation methods that help users understand…
A machine-learning model can identify the action in a video clip and label it, without the help of humans. Humans observe the world through a…
Researchers at the University of Arizona leveraged supercomputing power to create simulations of millions of computer-generated “universes” to test astrophysical predictions that have eluded astronomical…
Cancer cells delete DNA when they go to the dark side, so a team of doctors and engineers targeted the ‘backup plans’ that run essential cell…
Nonlinear decision-making with enzymatic neural networks DNA can be utilized to reliably store massive amounts of digital data. However, it has hitherto proven challenging to…
Prehistoric footprints thought to be made by a vicious dinosaur predator were revealed by artificial intelligence to in fact be from a timid herbivore. University…
Remarkable accuracy – a sepsis diagnosis tool combines genetic sequencing with analysis of patients’ immune responses. According to estimates, sepsis—a condition in which the immune…
A new tool overcomes a significant hurdle in clinical AI design. Scientists from Harvard Medical School and Stanford University have created a diagnostic tool using…
Hair loss is undesirable for many men — and women — because one’s hairstyle is often closely tied to their sense of self-confidence. And while…
Chaotic physical processes are now easier to predict thanks to a new algorithm. While the past may be a fixed and unchangeable point, machine learning…
New algorithms can predict the in-game actions of volleyball players with more than 80% accuracy. Now the Cornell Laboratory for Intelligent Systems and Controls, which…
