After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

Coordinating complicated interactive systems, whether it's the different modes of transportation in a city or the various ...

Combining this information with current and historical satellite data, they trained a machine-learning algorithm to assess the history and extent of salt patches throughout the region. Sarupria ...

MIT researchers created a periodic table of machine learning that shows how more than 20 classical algorithms are connected. The new framework sheds light on how scientists could fuse strategies ...

In their study, authors developed a machine learning algorithm -- known as PAMmla -- that can predict the properties of about 64 million genome editing enzymes. The work could help reduce off ...

We collaborate with the world's leading lawyers to deliver news tailored for you. Sign Up for any (or all) of our 25+ Newsletters. Some states have laws and ethical rules regarding solicitation ...

Nanotechnology Research Laboratory, Research School of Chemistry, College of Science, The Australian National University, Canberra, ACT 2601, Australia School of Engineering and Technology, The ...

Also, there is currently no defined framework to help decide who is responsible when a machine learning algorithm or a robotic system designed to use these tools gets things wrong. Is the end user (ie ...

(Back to top) We believe mastery of a certain machine learning concept/topic is achieved only when the answer to each of the following three questions is affirmative. Intuition Ca ...

Bloom's taxonomy was developed by a group of educational psychologists in the 1950s, led by Benjamin Bloom. They identified six cognitive domains of learning, each with a set of verbs that ...