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Researchers from MIT and elsewhere have developed an interactive tool that, for the first time, lets users see and control how increasingly popular automated machine-learning (AutoML) systems work. Image: Chelsea Turner, MIT

Cracking open the black box of automated machine learning

For the first time, MIT scientists have developed an interactive tool that allows users to see and control how automated machine-learning systems work. Dubbed...
Prof Dean Ho (first from left) showing a schematic mobile version of CURATE.AI, while Mr Theodore Kee (seated) demonstrates the flight operations simulator software. With them are Asst Prof Christopher L. Asplund (second from left) and Dr Agata Blasiak (third from left). Credit: National University of Singapore

NUS pilot study opens new possibilities for AI to enhance cognitive performance

In a recent pilot study, researchers from the National University of Singapore (NUS) have shown that a powerful artificial intelligence (AI) platform known as...
Fast-camera photo of a plasma produced by the first NSTX-U operations campaign.

Machine Learning may help capture fusion energy on Earth

Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly...
An array of intra-cranial electrodes of the type used to record brain activity in the current study. Image credit: UCSF

Synthetic speech: Virtual voicebox converts brain signals to speech using AI

People with neurological conditions who lose the ability to communicate, typically due to brain damage, stroke or any other medical conditions now have a...
The robot Alex read the news on Russia-24 channel

A humanoid robot Alex maybe the futuristic news anchor

Robotic and artificial intelligence is improving continuously. Robots are already started to take humans' job, and it's going to continue. But precisely which job...
The top row shows images that our participants viewed in the fMRI scanner. The bottom row shows neural reconstructions from the participants' brain activity that predict where people will direct their eyes, overlaid on top of the images. Note that just the colored overlay predicting eye movements is reconstructed from brain activity and not the image underlay. The brighter white and pink areas in the reconstructions show where people directed their attention. CREDIT Chun Lab Yale

Mountain splendor? Scientists know where your eyes will look

A new discovery by Yale University could advance understanding the human visual system to improve a host of artificial intelligence efforts. By using precise brain measurements,...
HEART PATIENT

New algorithm may help heart patients in remote areas

There is some good news for heart patients in remote places. Scientists at the Indian Institute of Technology, Hyderabad (IIT-Hyderabad) have developed a new...
MIT computer scientists have developed a system that learns to identify objects within an image, based on a spoken description of the image

Machine-learning system tackles speech and object recognition

MIT computer scientists have built up a system that figures out how to distinguish protests inside an image, in view of a spoken description...
neuralnetwork

Scientists developed a neural network that operates on light

A group of scientists at the University of California has recently devised a new type of neural network that operates on light instead of...

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