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Machine Learning

AI brain illustration

Evolution wired human brains to act like supercomputers

Damage from a 2020 earthquake in Puerto Rico.

Seismologists use deep learning for improved earthquake forecasting

Futuristic image of a doctor looking at brain scans

How sure is sure? Incorporating human error into machine learning

Binghamton University Assistant Professor of Management Information Systems Thi Tran

Machine learning, blockchain technology could help counter spread of fake news

Illustration of a digital brain

AI transformation of medicine: Why doctors are not prepared

Researchers from MIT and Stanford University created a machine-learning method that can derive a controller for a robot, drone, or autonomous vehicle that is more effective at following a stable trajectory than other methods. This technique could help, for instance, a drone to closely follow a downhill skier despite being buffeted by strong winds. Credits:Image: MIT News, with figures from iStock

A simpler method for learning to control a robot

Future AI algorithms have potential to learn like humans, say researchers

Folded newspaper next to a cup of tea. Pixabay

Study of headlines shows media bias is growing

Caption: Deployed for the assembly of individual proteins, FrameDiff demonstrates its prowess by crafting extensive proteins with as many as 500 components. This method exhibits a significant advancement as it forges ahead, independent of the need for a pre-charted protein structure blueprint. Credits: Image: Alex Shipps/MIT CSAIL

AI is Shaping the Future of Biomedicine With Artificially Engineered Proteins

Digital brain illustration. Pixabay

Quantum Computers Embrace Quantum Mechanics

Illustration of AI

There’s a faster, cheaper way to train large language models

Illustration of old neighborhood in 3d

Turning old maps into 3D digital models of lost neighborhoods

Turning old maps into 3D digital models of lost neighborhoods

Woman listening to music on headphones. Credit Pixabay

Brain Responses and Machine Learning Predict Hit Songs with 97% Accuracy

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