Awesome, not awesome. #Awesome“Two parallel quests to understand learning — in machines and in our own heads — are converging in a small group of scientists who think that artificial intelligence may hold an answer to the deep-rooted mystery of how our brains learn… If machines and animals do learn in similar ways — still an open question among researchers — figuring out how […]

Awesome, not awesome. #Awesome“…. Maybe [deep learning] could help to refine approximate structure predictions; report on how confident the algorithm is in a folding prediction; or model interactions between proteins. And although computational predictions aren’t yet accurate enough to be widely used in drug design, the increasing accuracy allows for other applications, such as understanding how […]

Awesome, not awesome. #Awesome“Researchers have developed an AI algorithm which can solve a Rubik’s Cube in a fraction of a second…the solution to the Rubik’s Cube involves more symbolic, mathematical and abstract thinking, so a deep learning machine that can crack such a puzzle is getting closer to becoming a system that can think, reason, plan […]

Awesome, not awesome. #Awesome“A group of researchers have now used [unsupervised machine learning] to munch through 3.3 million scientific abstracts published between 1922 and 2018 in journals that would likely contain materials science research. The resulting word relationships captured fundamental knowledge within the field, including the structure of the periodic table and the way chemicals’ structures […]

Awesome, not awesome. #Awesome“Computer scientists have taught an artificial intelligence agent how to do something that usually only humans can do take a few quick glimpses around and infer its whole environment, a skill necessary for the development of effective search-and-rescue robots that one day can improve the effectiveness of dangerous missions.” — Kristen Grauman, UT Austin Professor […]

Awesome, not awesome. #Awesome“Scientists need to develop materials that store, harvest, and use energy more efficiently, but the process of discovering new materials is typically slow and imprecise. Machine learning can accelerate things by finding, designing, and evaluating new chemical structures with the desired properties. This could, for example, help create solar fuels, which can store […]

Awesome, not awesome. #Awesome“Free will, from a neuroscience perspective, can look like quite quaint… using the fMRI to monitor brain activity and machine learning to analyze the neuroimages, the researchers were able to predict which pattern participants would choose up to 11 seconds before they consciously made the decision. And they were able to predict how […]

Awesome, not awesome. #Awesome“Computers were as good or better than doctors at detecting tiny lung cancers on CT scans, in a study by researchers from Google and several medical centers…[b]y feeding huge amounts of data from medical imaging into systems called artificial neural networks, researchers can train computers to recognize patterns linked to a specific condition, […]

Awesome, not awesome. #Awesome“…[R]esearchers are working on ways to let AI learn from large amounts of medical data while making it very hard for that data to leak…“The whole notion of doing computation while keeping data secret is an incredibly powerful one,” says David Evans, who specializes in machine learning and security at the University of […]

Awesome, not awesome. #Awesome“A team from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and Massachusetts General Hospital (MGH) has created a new deep learning model that can predict from a mammogram if a patient is likely to develop breast cancer in the future. They trained their model on mammograms and known outcomes from over 60,000 […]