Images generated by a network designed to visualize what goes on in peoples’ brains while they watch Doctor Who
Convolutional Neural Networks (CNN)

What the Brain Sees

What’s creepier than images from the sci-fi TV series Doctor Who? Images generated by a network designed to visualize what goes on in peoples’ brains while they watch Doctor Who.
2 min read
Data related to DeepCE, a system designed to predict how particular drugs will influence the amounts of RNA
Convolutional Neural Networks (CNN)

Old Drugs for New Ailments

Many medical drugs work by modulating the body’s production of specific proteins. Recent research aimed to predict this activity, enabling researchers to identify drugs that might counteract the effects of Covid-19.
2 min read
Neural Body, a procedure that generates novel views of a single human character, working
Convolutional Neural Networks (CNN)

Seeing People From a New Angle

The University of Hong Kong, and Cornell University to create Neural Body, a procedure that generates novel views of a single human character based on shots from only a few angles.
2 min read
Graphs and data related to ImageNet performance
Convolutional Neural Networks (CNN)

ImageNet Performance: No Panacea

It’s commonly assumed that models pretrained to achieve high performance on ImageNet will perform better on other visual tasks after fine-tuning. But is it always true? A new study reached surprising conclusions.
2 min read
Graph showing system that examines X-ray images to predict which Covid-19 patients are at greatest risk of decline
Convolutional Neural Networks (CNN)

Covid-19 Triage

The pandemic has pushed hospitals to their limits. A new machine learning system could help doctors make sure the most severe cases get timely, appropriate care.
2 min read
Art pieces with subjective commentary regarding their emotional impact
Convolutional Neural Networks (CNN)

How Art Makes AI Feel

An automated art critic spells out the emotional impact of images. Led by Panos Achlioptas, researchers at Ecole Polytechnique, King Abdullah University, and Stanford University trained a deep learning system to generate subjective interpretations of art.
2 min read
Series of images and graphs related to cancer detection
Convolutional Neural Networks (CNN)

Shortcut to Cancer Treatment

Doctors who treat breast cancer typically use a quick, inexpensive tumor-tissue stain test to diagnose the illness and a slower, more costly one to determine treatment. A new neural network could help doctors to go straight from diagnosis to treatment.
2 min read
Convolutional Neural Networks (CNN)

Pain Points in Black and White

A model designed to assess medical patients’ pain levels matched the patients’ own reports better than doctors’ estimates did — when the patients were Black.
1 min read
Covid Fast Fax operating
Convolutional Neural Networks (CNN)

The Fax About Tracking Covid

A pair of neural networks is helping to prioritize Covid-19 cases for contact tracing. The public health department of California’s Contra Costa County is using deep learning to sort Covid-19 cases reported via the pre-internet technology known as fax.
2 min read
Examples of contrastive learning
Convolutional Neural Networks (CNN)

Learning From Words and Pictures

It’s expensive to pay doctors to label medical images, and the relative scarcity of high-quality training examples can make it hard for neural networks to learn features that make for accurate diagnoses.
2 min read
John Conway's Game of Life
Convolutional Neural Networks (CNN)

Life Is Easier for Big Networks

According to the lottery ticket hypothesis, the bigger the neural network, the more likely some of its weights are initialized to values that are well suited to learning to perform the task at hand. But just how big does it need to be?
2 min read
Graphs and examples of Network dissection technique
Convolutional Neural Networks (CNN)

What One Neuron Knows

How does a convolutional neural network recognize a photo of a ski resort? New research shows that it bases its classification on specific neurons that recognize snow, mountains, trees, and houses.
3 min read
Graphs and data related to RubiksShift
Convolutional Neural Networks (CNN)

More Efficient Action Recognition

Recognizing actions performed in a video requires understanding each frame and relationships between the frames. Previous research devised a way to analyze individual images efficiently known as Active Shift Layer (ASL). New research extends this technique to the steady march of video frames.
2 min read
Makeup applied on female faces with the help of augmented reality
Convolutional Neural Networks (CNN)

A Good Look for AI

Trying on new makeup is a hassle — apply, inspect, wash off, repeat. Not to mention the tribulation of visiting brick-and-mortar stores during the pandemic. Augmented reality is helping people try on all the makeup they want without leaving home.
2 min read
Examples of CT scans with different contrasts
Convolutional Neural Networks (CNN)

More Data for Medical AI

Convolutional neural networks are good at recognizing disease symptoms in medical scans of patients who were injected with iodine-based dye, that makes their organs more visible. But some patients can’t take the dye. Now synthetic scans from a GAN are helping CNNs learn to analyze undyed images.
2 min read

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