Digitalization process of a construction project
Vision

Building Sites Meld Real and Virtual

Everyday cameras and computer vision algorithms are digitizing construction projects to keep builders on schedule. Based in Tel Aviv, Buildots maps output from building-site cameras onto simulations of the work n progress, enabling construction managers to monitor progress remotely.
Graphs showing how DeepRhythm detects deepfakes
Vision

Deepfakes Are Heartless

The incessant rhythm of a heartbeat could be the key to distinguishing real videos from deepfakes. DeepRhythm detects deepfakes using an approach inspired by the science of measuring minute changes on the skin’s surface due to blood circulation.
Illustration of two witches with half a pumpkin each and the moon behind them
Vision

The AI Community Splinters

Will international rivalries fragment international cooperation in machine learning? Countries competing for AI dominance will lash out at competitors.
Data related to a system that purportedly identified breast cancer
Vision

Pushing for Reproducible Research

Controversy erupted over the need for transparency in research into AI for medicine. Google Health introduced a system that purportedly identified breast cancer more accurately than human radiologists.
Graphs and examples of Network dissection technique
Vision

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.
Series of images related to a technology used to draw maps during a fight fire emergency
Vision

Mapping the Inferno

An AI-powered eye in the sky is helping firefighters control woodland blazes. California used maps drawn by neural networks to fight fires that threatened Yosemite National Park earlier this year.
Series of images showing how Maxine, a media streaming platform, works
Vision

Data Compression By AI

In this work-from-home era, who hasn’t spent a video conference wishing they could read an onscreen document without turning their eyes from the person they’re talking with? Or simply hoping the stream wouldn’t stutter or stall? Deep learning can fill in the missing pieces.
Graphs and data related to RubiksShift
Vision

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.
Examples of CT scans with different contrasts
Vision

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.
Example of Occupancy Anticipation, a navigation system that predicts unseen obstacles, working
Vision

Guess What Happens Next

New research teaches robots to anticipate what’s coming rather than focusing on what’s right in front of them. Researchers developed Occupancy Anticipation (OA), a navigation system that predicts unseen obstacles in addition to observing those in its field of view.
Graphs comparing SimCLR to SimCLRv2
Vision

Fewer Labels, More Learning

Large models pretrained in an unsupervised fashion and then fine-tuned on a smaller corpus of labeled data have achieved spectacular results in natural language processing. New research pushes forward with a similar approach to computer vision.
Animation of the universe
Vision

Planet Hunter

A machine learning model is scouring the cosmos for undiscovered planets. Astronomers from the University of Warwick developed a system that learned to identify faraway worlds in a dataset of thousands of candidates.
Data and information related to dropout
Vision

Dropout With a Difference

The technique known as dropout discourages neural networks from overfitting by deterring them from reliance on particular features. A new approach reorganizes the process to run efficiently on the chips that typically run neural network calculations.
Different images from NSF AI Institute
Vision

U.S. Proposes National AI Centers

The White House called for new funding for AI research including a constellation of research centers. Nonetheless, the U.S. government’s annual spending on the technology still would lag behind that of several other
Examples of age, gender and race idenitification by face recognition
Vision

Race Recognition

Marketers are using computer vision to parse customers by skin color and other perceived racial characteristics. A number of companies are pitching race classification as a way for businesses to understand the buying habits of different groups.

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